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<xml><records><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Viacheslav Andreychouk</style></author><author><style face="normal" font="default" size="100%">Tomasz Błachowicz</style></author><author><style face="normal" font="default" size="100%">Krzysztof Domino</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Fractal dimensions of cave for exemplary gypsum cave-mazes of Western Ukraine</style></title></titles><keywords/><dates><year><style face="normal" font="default" size="100%">2013</style></year></dates><secondary-title><style face="normal" font="default" size="100%">Landform Analysis</style></secondary-title><electronic-resource-num><style face="normal" font="default" size="100%">doi: http://dx.doi.org/10.12657/landfana.022.001</style></electronic-resource-num><volume><style face="normal" font="default" size="100%">22</style></volume><number><style face="normal" font="default" size="100%">3-8</style></number><abstract><style face="normal" font="default" size="100%">&lt;p&gt;Gypsum labyrinthine caves are characterized by a complex spatial structure, which can be treated as fractals and can be studied using appro- priate mathematical tools. Capacitance and correlation fractal dimensions of largest gypsum caves of the Western Ukraine (as well as the World’s largest ones) were calculated. The results were used to predict findings of new, undiscovered cave mazes parts.&lt;/p&gt;&#13;
</style></abstract><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Viacheslav Andreychouk</style></author><author><style face="normal" font="default" size="100%">Tomasz Błachowicz</style></author><author><style face="normal" font="default" size="100%">Krzysztof Domino</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Fractal dimensions of gypsum cave-mazes of Western Ukraine</style></title></titles><keywords/><dates><year><style face="normal" font="default" size="100%">2013</style></year><pub-dates><date><style face="normal" font="default" size="100%">11</style></date></pub-dates></dates><secondary-title><style face="normal" font="default" size="100%">Speleology and Karstology</style></secondary-title><number><style face="normal" font="default" size="100%">40-47</style></number><abstract><style face="normal" font="default" size="100%">Gypsum maze caves of Western Ukraine are characterized by a complex spatial structure, which can be treated as fractals and can be studied using appropriate mathematical tools. Capacitance and correlation fractal dimensions of largest gypsum caves of the region were calculated. The results were used to predict findings of new, yet undiscovered parts of cave mazes.</style></abstract><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Krzysztof Domino</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">The use of the Hurst exponent to investigate the global maximum of the Warsaw Stock Exchange WIG20 index</style></title></titles><keywords/><dates><year><style face="normal" font="default" size="100%">2012</style></year></dates><secondary-title><style face="normal" font="default" size="100%">Physica A</style></secondary-title><electronic-resource-num><style face="normal" font="default" size="100%"> DOI: 10.1016/j.physa.2011.06.062</style></electronic-resource-num><pages><style face="normal" font="default" size="100%">156–169</style></pages><volume><style face="normal" font="default" size="100%">391</style></volume><abstract><style face="normal" font="default" size="100%">&lt;p&gt;The WIG20 index – the index of the 20 biggest companies traded on the Warsaw Stock Exchange – reached the global maximum on 29th October 2007. I have used the local DFA (Detrended Functional Analysis) to obtain the Hurst exponent (diffusion exponent) and investigate the signature of anti-correlation of share price evolution around the maximum. The analysis was applied to the share price evolution for variable DFA parameters. For many values of parameters, the evidence of anti-correlation near the WIG20 maximum was pointed out.&lt;/p&gt;&#13;
</style></abstract><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Krzysztof Domino</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">The use of the Hurst exponent to predict changes in trends on the Warsaw Stock Exchange</style></title></titles><keywords/><dates><year><style face="normal" font="default" size="100%">2011</style></year></dates><secondary-title><style face="normal" font="default" size="100%">Physica A</style></secondary-title><electronic-resource-num><style face="normal" font="default" size="100%">https://doi.org/10.1016/j.physa.2010.04.015</style></electronic-resource-num><pages><style face="normal" font="default" size="100%">98–109</style></pages><volume><style face="normal" font="default" size="100%">390</style></volume><abstract><style face="normal" font="default" size="100%">&lt;p&gt;The local properties of the time series of the evolution of share prices of 126 significant companies traded on the Warsaw Stock Exchange during the period between 1991–2008 have been investigated. The analysis was applied to daily financial returns. I have used the local DFA to obtain the Hurst exponent (diffusion coefficient) while searching for negative correlations by which changes of long-term trends would be effected. A certain evidence, proving that after the signature of anti-correlation – the drop in the Hurst exponent – the change in the trend and in the return rate of an investment is probable, was pointed out. Hence after further investigation this method may be useful as a part of an investment strategy. As the Warsaw Stock Exchange is relatively smaller and younger than other significant world Stock Exchanges – and as the developing market is less efficient – the generalization for others markets needs further investigation.&lt;/p&gt;&#13;
</style></abstract><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Krzysztof Domino</style></author><author><style face="normal" font="default" size="100%">Tomasz Błachowicz</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">The use of copula functions for modeling the risk of investment in shares traded on world stock exchanges</style></title></titles><keywords/><dates><year><style face="normal" font="default" size="100%">2015</style></year><pub-dates><date><style face="normal" font="default" size="100%">01/2015</style></date></pub-dates></dates><secondary-title><style face="normal" font="default" size="100%">Physica A</style></secondary-title><electronic-resource-num><style face="normal" font="default" size="100%">http://dx.doi.org/10.1016/j.physa.2015.01.019</style></electronic-resource-num><pages><style face="normal" font="default" size="100%">142–151</style></pages><volume><style face="normal" font="default" size="100%">424</style></volume><abstract><style face="normal" font="default" size="100%">&lt;p&gt;In this paper the two dimensional model of the investment in shares is presented. The shares prices from five different world stock exchanges (New York, London, Frankfurt, Honk Kong, and Sydney) are examined. The copula functions are used to model the risk of investment. The Hurst threshold exponent derived from the local Detrended Fluctuation Analysis is used to determine the safe investment portfolios with no extreme drops in shares prices. The most important result states that the threshold value is not universal for different markets, however, it is influenced by the subsequent level of market freedom. It was shown, that the level, relatively larger in US, UK, and Australia than in Germany and China, affects the Hurst exponent threshold value.&lt;/p&gt;&#13;
</style></abstract><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Krzysztof Domino</style></author><author><style face="normal" font="default" size="100%">Tomasz Błachowicz</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">The use of copula functions for modeling the risk of investment in shares traded on the Warsaw Stock Exchange</style></title></titles><keywords/><dates><year><style face="normal" font="default" size="100%">2014</style></year></dates><secondary-title><style face="normal" font="default" size="100%">Physica A</style></secondary-title><electronic-resource-num><style face="normal" font="default" size="100%">https://doi.org/10.1016/j.physa.2014.06.083</style></electronic-resource-num><pages><style face="normal" font="default" size="100%">77–85</style></pages><volume><style face="normal" font="default" size="100%">413</style></volume><abstract><style face="normal" font="default" size="100%">&lt;p&gt;In our work copula functions and the Hurst exponent calculated using the local Detrended Fluctuation Analysis (DFA) were used to investigate the risk of investment made in shares traded on the Warsaw Stock Exchange. The combination of copula functions and the Hurst exponent calculated using local DFA is a new approach. For copula function analysis bi- variate variables composed of shares prices of the PEKAO bank (a big bank with high capitalization) and other banks (PKOBP, BZ WBK, MBANK and HANDLOWY in decreasing capitalization order) and companies from other branches (KGHM—mining industry, PKNORLEN—petrol industry as well as ASSECO—software industry) were used. Hurst ex- ponents were calculated for daily shares prices and used to predict high drops of those prices. It appeared to be a valuable indicator in the copula selection procedure, since Hurst exponent’s low values were pointing on heavily tailed copulas e.g. the Clayton one.&lt;/p&gt;&#13;
</style></abstract><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Krzysztof Domino</style></author><author><style face="normal" font="default" size="100%">Tomasz Błachowicz</style></author><author><style face="normal" font="default" size="100%">Maurycy Ciupak</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">The use of copula functions for predictive analysis of correlations between extreme storm tides</style></title></titles><keywords/><dates><year><style face="normal" font="default" size="100%">2014</style></year><pub-dates><date><style face="normal" font="default" size="100%">07/2014</style></date></pub-dates></dates><secondary-title><style face="normal" font="default" size="100%">Physica A</style></secondary-title><electronic-resource-num><style face="normal" font="default" size="100%">https://doi.org/10.1016/j.physa.2014.07.020</style></electronic-resource-num><pages><style face="normal" font="default" size="100%">489–497</style></pages><volume><style face="normal" font="default" size="100%">413</style></volume><abstract><style face="normal" font="default" size="100%">&lt;p&gt;In this paper we present a method used in quantitative description of weakly predictable hydrological, extreme events at inland sea. Investigations for correlations between variations of individual measuring points, employing combined statistical methods, were carried out. As a main tool for this analysis we used a two-dimensional copula function sensitive for correlated extreme effects. Additionally, a new proposed methodology, based on Detrended Fluctuations Analysis (DFA) and Anomalous Diffusion (AD), was used for the prediction of negative and positive auto-correlations and associated optimum choice of copula functions. As a practical example we analysed maximum storm tides data recorded at five spatially separated places at the Baltic Sea. For the analysis we used Gumbel, Clayton, and Frank copula functions and introduced the reversed Clayton copula. The application of our research model is associated with modelling the risk of high storm tides and possible storm flooding.&lt;/p&gt;&#13;
</style></abstract><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Andrea Ehrmann</style></author><author><style face="normal" font="default" size="100%">Tomasz Błachowicz</style></author><author><style face="normal" font="default" size="100%">Krzysztof Domino</style></author><author><style face="normal" font="default" size="100%">Susanne Aumann</style></author><author><style face="normal" font="default" size="100%">Marcus Weber</style></author><author><style face="normal" font="default" size="100%">Hafed Zghidi</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Examination of hairiness changes due to washing in knitted fabrics using a random walk approach</style></title></titles><keywords/><dates><year><style face="normal" font="default" size="100%">2015</style></year></dates><secondary-title><style face="normal" font="default" size="100%">Textile Research Journal</style></secondary-title><electronic-resource-num><style face="normal" font="default" size="100%">https://doi.org/10.1177/0040517515581591</style></electronic-resource-num><volume><style face="normal" font="default" size="100%">85 (20)</style></volume><section><style face="normal" font="default" size="100%">2147-2154</style></section><abstract><style face="normal" font="default" size="100%">&lt;p&gt;The relaxation of knitted fabrics is usually described in terms of dimensional changes of knitted loop widths and heights or fabric widths and heights, respectively. Due to washing, however, additional changes in the optical appearance and the haptic properties of a knitted fabric can occur, such as a change in the regularity or the hairiness. This article uses the random walk statistical approach to estimate the structural complexity of knitted fabrics directly after production and up to 10 washing cycles and shows that the Hurst exponent, resulting from the random walk process, is partly related to the cover factor of the knitted fabrics under investigation; however, it depicts significant contributions of the hairiness. Thus, this novel approach offers a quantitative measure of structural changes in knitted fabrics that cannot be described by cover factor or dimensional changes.&lt;/p&gt;&#13;
</style></abstract><language><style face="normal" font="default" size="100%">eng</style></language><notes><style face="normal" font="default" size="100%">DOI: 10.1177/0040517515581591</style></notes></record><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">N. Kruszewska</style></author><author><style face="normal" font="default" size="100%">P. Weber</style></author><author><style face="normal" font="default" size="100%">A. Gadomski</style></author><author><style face="normal" font="default" size="100%">Krzysztof Domino</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">A METHOD OF MECHANICAL CONTROL OF STRUCTURE-PROPERTY RELATIONSHIP IN GRAINS-CONTAINING MATERIAL SYSTEMS</style></title></titles><keywords/><dates><year><style face="normal" font="default" size="100%">2013</style></year></dates><secondary-title><style face="normal" font="default" size="100%">ACTA PHYSICA POLONICA B</style></secondary-title><electronic-resource-num><style face="normal" font="default" size="100%">DOI:10.5506/APhysPolB.44.1049</style></electronic-resource-num><volume><style face="normal" font="default" size="100%">44</style></volume><number><style face="normal" font="default" size="100%">5</style></number><abstract><style face="normal" font="default" size="100%">&lt;p&gt;Material systems can grow indefinitely large unless there appear some physical restrictions superimposed on them. At first approximation, they can be restricted in their evolution by means of an external mechanical factor such as pressure. If the material system’s evolution can be described by a Smoluchowski type equation in the phase space of grain sizes, the average grain size magnitude can be suitably controlled by such mechanical factor. Both magnitude and direction of the factor can render the grain sizes either bigger or smaller than the one expected without any influence of the factor. We propose to embody the mechanical factor in the drift term of the corresponding Smoluchowski equation, in general, derivable from the entropy production principle. Such an embodiment allows one to modify controllably (over certain distinguished time scales of the process) the grain sizes, thus, the mechanically affected material properties such as superplasticity or superconductivity. A simple econophysical example, addressing investment strategies upon random-market tensions, is added to support the overall rationale of the method thus developed.&lt;/p&gt;&#13;
</style></abstract><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Hafed Zghidi</style></author><author><style face="normal" font="default" size="100%">Maksym Walczak</style></author><author><style face="normal" font="default" size="100%">Tomasz Blachowicz</style></author><author><style face="normal" font="default" size="100%">Krzysztof Domino</style></author><author><style face="normal" font="default" size="100%">Andrea Ehrmann</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Image Processing and Analysis of Textile Fibers by Virtual Random Walk</style></title></titles><keywords/><dates><year><style face="normal" font="default" size="100%">2015</style></year></dates><secondary-title><style face="normal" font="default" size="100%">Proceedings of the Federated Conference on Computer Science and Information Systems</style></secondary-title><electronic-resource-num><style face="normal" font="default" size="100%">http://dx.doi.org/10.15439/2015F40</style></electronic-resource-num><pages><style face="normal" font="default" size="100%">717–720</style></pages><volume><style face="normal" font="default" size="100%">5</style></volume><abstract><style face="normal" font="default" size="100%">&lt;p&gt;An algorithm for extracting material shape and spatial information from non-uniform background, and for generating object skeletons for statistical two-dimensional experiments using random walk approach, is presented. This finds applications in textile analysis and microscopic analysis of various materials like hairs and allows for further precise determination of textile yarn dimensions as well as other geometrical characteristics like a fractal dimension.&lt;/p&gt;&#13;
</style></abstract><language><style face="normal" font="default" size="100%">eng</style></language><notes><style face="normal" font="default" size="100%">DOI: 10.15439/2015F40</style></notes></record><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Krzysztof Domino</style></author><author><style face="normal" font="default" size="100%">Przemysław Głomb</style></author><author><style face="normal" font="default" size="100%">Zbigniew Łaskarzewski</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Classification of LPG clients using the Hurst exponent and the correlation coeficient</style></title></titles><keywords/><dates><year><style face="normal" font="default" size="100%">2015</style></year><pub-dates><date><style face="normal" font="default" size="100%">2015</style></date></pub-dates></dates><secondary-title><style face="normal" font="default" size="100%">Theoretical and Applied Informatics</style></secondary-title><urls><style face="normal" font="default" size="100%">http://yadda.icm.edu.pl/yadda/element/bwmeta1.element.baztech-1ba91297-f921-4524-927c-381996c36512</style></urls><electronic-resource-num><style face="normal" font="default" size="100%"> 10.20904/271013</style></electronic-resource-num><pages><style face="normal" font="default" size="100%">13–24</style></pages><volume><style face="normal" font="default" size="100%">27</style></volume><issue><style face="normal" font="default" size="100%">1</style></issue><section><style face="normal" font="default" size="100%">13</style></section><abstract><style face="normal" font="default" size="100%">&lt;p&gt;In this paper we present the analysis of the gas usage for different types of buildings. First, we introduce the classical theory of building heating. This allows the establishment of theoretical relations between gas consumption time series and the outside air temperature for different types of buildings, residential and industrial. These relations imply dierent auto-correlations of gas usage time series as well as different cross-correlations between gas consumption and temperature time series for different types of buildings. Therefore, the autocorrelation and the cross-correlation were used to classify the buildings into three classes: housing, housing with high thermal capacity, and industry. The Hurst exponent was calculated using the global DFA to investigate auto-correlation, while the Kendall's τ rank coeficient was calculated to investigate cross-correlation&lt;/p&gt;&#13;
</style></abstract><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Tomasz Blachowicz</style></author><author><style face="normal" font="default" size="100%">Andrea Ehrmann</style></author><author><style face="normal" font="default" size="100%">Krzysztof Domino</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Statistical analysis of digital images of periodic fibrous structures using generalized Hurst exponent distributions</style></title></titles><keywords/><dates><year><style face="normal" font="default" size="100%">2016</style></year></dates><secondary-title><style face="normal" font="default" size="100%">Physica A: Statistical Mechanics and its Applications</style></secondary-title><urls><style face="normal" font="default" size="100%">http://www.sciencedirect.com/science/article/pii/S0378437116001795</style></urls><electronic-resource-num><style face="normal" font="default" size="100%">http://dx.doi.org/10.1016/j.physa.2016.02.013</style></electronic-resource-num><pages><style face="normal" font="default" size="100%">167 - 177</style></pages><volume><style face="normal" font="default" size="100%">452</style></volume><abstract><style face="normal" font="default" size="100%">Abstract Distinction of diverse two-dimensional periodic structures can be based on a large number of methods and parameters, while the quantitative description of differences between similar samples is usually difficult. This article aims, by the use of statistical random walk in a generalized q-order dimensional space, at introducing a methodology to qualify the networked structures on the basis of exemplary textile samples. The presented results were obtained at 1-bit monochromatic maps obtained from optical microscopic pictures. Significant features of samples were represented by the obtained distributions of Hurst exponents and Shannon entropy calculations.</style></abstract><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Tomasz Blachowicz</style></author><author><style face="normal" font="default" size="100%">Andrea Ehrmann</style></author><author><style face="normal" font="default" size="100%">Hafed Zghidi</style></author><author><style face="normal" font="default" size="100%">Krzysztof Domino</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Optical determination of hemp fiber structures by statistical methods</style></title></titles><keywords/><dates><year><style face="normal" font="default" size="100%">2015</style></year></dates><secondary-title><style face="normal" font="default" size="100%">Proceedings of Aachen-Dresden International Textile Conference</style></secondary-title><abstract><style face="normal" font="default" size="100%">&lt;p&gt;One of the most challenging tasks in optical examination of natural fibers – besides measuring fiber lengths and diameters – is the determination of the possible existence of branches in a fiber. Since usual automatic fiber examination systems are known to be irritated by fiber bifurcations, possibly leading to unreliable length measurements, a mechanism to detect and evaluate side branches would be helpful for both the developers and users of automatic fiber examination systems. Additionally, fibers with higher and lower amounts of bifurcations can be expected to show different mechanical properties when spun to a yarn or used in a fiber -reinforced plastic composite. Thus, different statistical methods have been used for image processing of scanned or microscopic pictures of natural fibers, such as hemp, flax, or linen. One of them, the so-called random-walk method, has been used before for the examination of microscopic images of yarns [1] and knitted fabrics [2-4], resulting in a novel method to measure yarn hairiness and fiber fineness optically. The article gives an overview of different shapes of single hemp fibers and fiber bundles and shows which differentiations can be made using statistical methods on the scanned pictures, pre-treated with newly developed numerical filters. These approaches are used to distinguish between hemp fibers which have been pre-treated with different methods.&lt;/p&gt;&#13;
</style></abstract><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Andrea Ehrmann</style></author><author><style face="normal" font="default" size="100%">S Komraus</style></author><author><style face="normal" font="default" size="100%">Tomasz Blachowicz</style></author><author><style face="normal" font="default" size="100%">Krzysztof Domino</style></author><author><style face="normal" font="default" size="100%">MK Nees</style></author><author><style face="normal" font="default" size="100%">PJ Jakobs</style></author><author><style face="normal" font="default" size="100%">H Leiste</style></author><author><style face="normal" font="default" size="100%">M Mathes</style></author><author><style face="normal" font="default" size="100%">M Schaarschmidt</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Pseudo exchange bias due to rotational anisotropy</style></title></titles><keywords/><dates><year><style face="normal" font="default" size="100%">2016</style></year></dates><secondary-title><style face="normal" font="default" size="100%">Journal of Magnetism and Magnetic Materials</style></secondary-title><electronic-resource-num><style face="normal" font="default" size="100%">  10.1016/j.jmmm.2016.03.071</style></electronic-resource-num><pages><style face="normal" font="default" size="100%">7–10</style></pages><volume><style face="normal" font="default" size="100%">412</style></volume><abstract><style face="normal" font="default" size="100%">Ferromagnetic nanostructure arrays with particle dimensions between 160 nm and 400 nm were created by electron-beam lithography. The permalloy structures consist of rectangular-shaped walls around a square open space. While measuring their magnetic properties using the Magneto-Optical Kerr Effect (MOKE), in some angular regions an exchange bias (EB) seemed to appear. This paper gives an overview of possible reasons for this “pseudo exchange bias” and shows experimentally and by means of micromagnetic simulations that this effect can be attributed to unintentionally measuring minor loops.</style></abstract><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Krzysztof Domino</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">The use of the multi-cumulant tensor analysis for the algorithmic optimisation of investment portfolios</style></title></titles><keywords/><dates><year><style face="normal" font="default" size="100%">2017</style></year><pub-dates><date><style face="normal" font="default" size="100%">10/2016</style></date></pub-dates></dates><secondary-title><style face="normal" font="default" size="100%">Physica A: Statistical Mechanics and its Applications</style></secondary-title><urls><style face="normal" font="default" size="100%">http://dx.doi.org/10.1016/j.physa.2016.10.042</style></urls><electronic-resource-num><style face="normal" font="default" size="100%">10.1016/j.physa.2016.10.042</style></electronic-resource-num><volume><style face="normal" font="default" size="100%">467</style></volume><section><style face="normal" font="default" size="100%">267</style></section><abstract><style face="normal" font="default" size="100%">&lt;p&gt;The cumulant analysis plays an important role in non Gaussian distributed data analysis. The shares' prices returns are good example of such data. The purpose of this research is to develop the cumulant based algorithm and use it to determine eigenvectors that represent investment portfolios with low variability. Such algorithm is based on the Alternating Least Square method and involves the simultaneous minimisation 2'nd - 6'th cumulants of the multidimensional random variable (percentage shares' returns of many companies). Then the algorithm was tested during the recent crash on the Warsaw Stock Exchange. To determine incoming crash and provide enter and exit signal for the investment strategy the Hurst exponent was calculated using the local DFA. It was shown that introduced algorithm is on average better that benchmark and other portfolio determination methods, but only within examination window determined by low values of the Hurst exponent. Remark that the algorithm of is based on cumulant tensors up to the 6'th order calculated for a multidimensional random variable, what is the novel idea. It can be expected that the algorithm would be useful in the financial data analysis on the world wide scale as well as in the analysis of other types of non Gaussian distributed data.&lt;/p&gt;&#13;
</style></abstract><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Krzysztof Domino</style></author><author><style face="normal" font="default" size="100%">Adam Glos</style></author><author><style face="normal" font="default" size="100%">Mateusz Ostaszewski</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Superdiffusive quantum stochastic walk definable on arbitrary directed graph</style></title></titles><keywords/><dates><year><style face="normal" font="default" size="100%">2017</style></year></dates><secondary-title><style face="normal" font="default" size="100%"/></secondary-title><urls><style face="normal" font="default" size="100%">https://arxiv.org/abs/1701.04624</style></urls><electronic-resource-num><style face="normal" font="default" size="100%">https://doi.org/10.26421/QIC17.11-12</style></electronic-resource-num><volume><style face="normal" font="default" size="100%">17</style></volume><issue><style face="normal" font="default" size="100%"/></issue><section><style face="normal" font="default" size="100%">0973-0986</style></section><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Krzysztof Domino</style></author><author><style face="normal" font="default" size="100%">Adam Glos</style></author><author><style face="normal" font="default" size="100%">Mateusz Ostaszewski</style></author><author><style face="normal" font="default" size="100%">Łukasz Pawela</style></author><author><style face="normal" font="default" size="100%">Przemysław Sadowski</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Properties of quantum stochastic walks from the asymptotic scaling exponent</style></title></titles><keywords/><dates><year><style face="normal" font="default" size="100%">2018</style></year></dates><secondary-title><style face="normal" font="default" size="100%">Quantum Information and Computation</style></secondary-title><urls><style face="normal" font="default" size="100%">https://doi.org/10.26421/QIC18.3-4</style></urls><electronic-resource-num><style face="normal" font="default" size="100%">10.26421/QIC18.3-4</style></electronic-resource-num><volume><style face="normal" font="default" size="100%">18</style></volume><issue><style face="normal" font="default" size="100%"/></issue><section><style face="normal" font="default" size="100%">0181-0199</style></section><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Krzysztof Domino</style></author><author><style face="normal" font="default" size="100%">Piotr Gawron</style></author><author><style face="normal" font="default" size="100%">Łukasz Pawela</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Efficient computation of higher order cumulant tensors</style></title></titles><keywords/><dates><year><style face="normal" font="default" size="100%">2018</style></year></dates><secondary-title><style face="normal" font="default" size="100%">SIAM J. SCI. COMPUT.</style></secondary-title><urls><style face="normal" font="default" size="100%">https://epubs.siam.org/doi/abs/10.1137/17M1149365</style></urls><electronic-resource-num><style face="normal" font="default" size="100%">10.1137/17M1149365</style></electronic-resource-num><pages><style face="normal" font="default" size="100%">A1610</style></pages><volume><style face="normal" font="default" size="100%">40</style></volume><issue><style face="normal" font="default" size="100%">3</style></issue><section><style face="normal" font="default" size="100%">A1590</style></section><abstract><style face="normal" font="default" size="100%">&lt;p&gt;In this paper, we introduce a novel algorithm for calculating arbitrary order&lt;br /&gt;&#13;
cumulants of multidimensional data. Since the d'th order&lt;br /&gt;&#13;
cumulant can be presented in the form of an d-dimensional tensor, the&lt;br /&gt;&#13;
algorithm is presented using tensor operations. The algorithm provided in the&lt;br /&gt;&#13;
paper takes advantage of super-symmetry of cumulant and moment tensors.&lt;br /&gt;&#13;
We show that the proposed algorithm considerably reduces the computational&lt;br /&gt;&#13;
complexity and the computational memory requirement of cumulant calculation as&lt;br /&gt;&#13;
compared with existing algorithms. For the sizes of interest, the&lt;br /&gt;&#13;
reduction is of the order of d! compared to the naive algorithm.&lt;/p&gt;&#13;
</style></abstract><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Krzysztof Domino</style></author><author><style face="normal" font="default" size="100%">Piotr Gawron</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">An algorithm for arbitrary–order cumulant tensor calculation in a sliding window of data streams</style></title></titles><keywords/><dates><year><style face="normal" font="default" size="100%">2019</style></year><pub-dates><date><style face="normal" font="default" size="100%">2019</style></date></pub-dates></dates><secondary-title><style face="normal" font="default" size="100%">International Journal of Applied Mathematics and Computer Science</style></secondary-title><electronic-resource-num><style face="normal" font="default" size="100%">10.2478/amcs-2019-0015</style></electronic-resource-num><pages><style face="normal" font="default" size="100%">206</style></pages><volume><style face="normal" font="default" size="100%">29</style></volume><issue><style face="normal" font="default" size="100%">1</style></issue><section><style face="normal" font="default" size="100%">195</style></section><abstract><style face="normal" font="default" size="100%">&lt;p&gt;High order cumulant tensors carry information about statistics of non-normally distributed multivariate data. In this work we present a new efficient algorithm for calculation of cumulants of arbitrary order in a sliding window for data streams. To present an application of the algorithm, we propose a measure of non-normality of data stream based on tensor norms of high order cumulant tensors. We show how to detect the transition from Gaussian distributed data to non-Gaussian ones in a~data stream. In order to achieve high implementation efficiency of operations on super-symmetric tensors, such as cumulant tensors, we employ the block structure to store and calculate only one hyper-pyramid part of such tensors.&lt;/p&gt;&#13;
</style></abstract><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>13</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Krzysztof Domino</style></author><author><style face="normal" font="default" size="100%">Adam Glos</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Introducing higher order correlations to marginals' subset of multivariate data by means of Archimedean copulas</style></title></titles><keywords/><dates><year><style face="normal" font="default" size="100%">2018</style></year></dates><secondary-title><style face="normal" font="default" size="100%">arXiv:1803.07813</style></secondary-title><urls><style face="normal" font="default" size="100%">https://arxiv.org/abs/1803.07813</style></urls><abstract><style face="normal" font="default" size="100%">&lt;p&gt;In this paper, we present the algorithm that alters the subset of marginals of multivariate standard distributed data into such modelled by an Archimedean copula. Proposed algorithm leaves a correlation matrix almost unchanged, but introduces a higher order correlation into a subset of marginals. Our data transformation algorithm can be used to analyse whether particular machine learning algorithm, especially a dimensionality reduction one, utilises higher order correlations or not. We present an exemplary application on two features selection algorithms, mention that features selection is one of the approaches to dimensionality reduction. To measure higher order correlation, we use multivariate higher order cumulants, hence to utilises higher order correlations be to use the Joint Skewness Band Selection (JSBS) algorithm that uses third-order multivariate cumulant. We show the robust performance of the JSBS in contrary to the poor performance of the Maximum Ellipsoid Volume (MEV) algorithm that does not utilise such higher order correlations. With this result, we confirm the potential application of our data generation algorithm to analyse a performance of various dimensionality reduction algorithms.&lt;/p&gt;&#13;
</style></abstract><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Krzysztof Domino</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Multivariate cumulants in outlier detection for financial data analysis</style></title></titles><keywords/><dates><year><style face="normal" font="default" size="100%">2020</style></year><pub-dates><date><style face="normal" font="default" size="100%">07/2020</style></date></pub-dates></dates><secondary-title><style face="normal" font="default" size="100%">Physica A: Statistical Mechanics and its Applications</style></secondary-title><electronic-resource-num><style face="normal" font="default" size="100%">10.1016/j.physa.2020.124995</style></electronic-resource-num><volume><style face="normal" font="default" size="100%">558</style></volume><section><style face="normal" font="default" size="100%">124995</style></section><abstract><style face="normal" font="default" size="100%">&lt;p&gt;There are many research papers yielding the financial data models, where returns are tied either to the fundamental analysis or to the individual, often irrational, behaviour of investors. In the second case the bubble followed by the crisis is possible on the market. Such bubble or crisis is reflected by the cross-correlated extreme positive or negative returns of many assets. Such returns are modelled by the copula with the meaningful tail dependencies. The typical model of such cross-correlation provides the t-Student copula. The author demonstrates that the mutual information tied to this copula can be measured by the 4th order multivariate cumulants. Tested on the artificial data, the 4th order multivariate cumulant approach was used successfully for the financial crisis detection. For this end the author introduces the outliers detection algorithm. In addition this algorithm displays the potential application for the crisis prediction, complementary to the auto-correlation analysis.&lt;/p&gt;&#13;
</style></abstract><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Tomasz Blachowicz</style></author><author><style face="normal" font="default" size="100%">Viacheslav Andreychouk</style></author><author><style face="normal" font="default" size="100%">Krzysztof Domino</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Random walk analysis of cave maps for exemplary gypsum caves- mazes of Western Ukraine</style></title></titles><keywords/><dates><year><style face="normal" font="default" size="100%">2018</style></year><pub-dates><date><style face="normal" font="default" size="100%">06/2018</style></date></pub-dates></dates><secondary-title><style face="normal" font="default" size="100%">Landform Analysis </style></secondary-title><urls><style face="normal" font="default" size="100%">http://yadda.icm.edu.pl/yadda/element/bwmeta1.element.baztech-4877dc6c-6a75-45ae-bf9c-dffa091a26a1</style></urls><electronic-resource-num><style face="normal" font="default" size="100%">doi: 10.12657/landfana.036.001</style></electronic-resource-num><volume><style face="normal" font="default" size="100%">36</style></volume><section><style face="normal" font="default" size="100%">3-8</style></section><abstract><style face="normal" font="default" size="100%">&lt;p&gt;The paper presents a new method of quantitative parameterization of net geomorphological struc-&lt;br /&gt;&#13;
tures with the use of random walk formalism and an analysis of Hurst exponent distribution derived from&lt;br /&gt;&#13;
random walk experiments. As examples, horizontally developed gypsum caves were elaborated. The provid-&lt;br /&gt;&#13;
ed methodology is able to uniquely characterize cave systems.&lt;br /&gt;&#13;
&#160;&lt;/p&gt;&#13;
&#13;
&lt;p&gt;&#160;&lt;/p&gt;&#13;
</style></abstract><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Przemysław Głomb</style></author><author><style face="normal" font="default" size="100%">Michał Romaszewski</style></author><author><style face="normal" font="default" size="100%">Michał Cholewa</style></author><author><style face="normal" font="default" size="100%">Krzysztof Domino</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Application of hyperspectral imaging and Machine Learning methods for the detection of gunshot residue patterns</style></title></titles><keywords/><dates><year><style face="normal" font="default" size="100%">2018</style></year><pub-dates><date><style face="normal" font="default" size="100%">07/2018</style></date></pub-dates></dates><secondary-title><style face="normal" font="default" size="100%">Forensic Science International</style></secondary-title><urls><style face="normal" font="default" size="100%">http://www.sciencedirect.com/science/article/pii/S0379073818303657</style></urls><electronic-resource-num><style face="normal" font="default" size="100%">https://doi.org/10.1016/j.forsciint.2018.06.040</style></electronic-resource-num><volume><style face="normal" font="default" size="100%">290</style></volume><section><style face="normal" font="default" size="100%">227</style></section><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Małgorzata Domino</style></author><author><style face="normal" font="default" size="100%">Krzysztof Domino</style></author><author><style face="normal" font="default" size="100%">Zdzisław Gajewski</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">An application of higher order multivariate cumulants in modelling of myoelectrical activity of porcine uterus during early pregnancy</style></title></titles><keywords/><dates><year><style face="normal" font="default" size="100%">2019</style></year><pub-dates><date><style face="normal" font="default" size="100%">11/2018</style></date></pub-dates></dates><secondary-title><style face="normal" font="default" size="100%">Biosystems</style></secondary-title><urls><style face="normal" font="default" size="100%">https://doi.org/10.1016/j.biosystems.2018.10.019</style></urls><electronic-resource-num><style face="normal" font="default" size="100%">10.1016/j.biosystems.2018.10.019</style></electronic-resource-num><volume><style face="normal" font="default" size="100%">175</style></volume><section><style face="normal" font="default" size="100%">30-38</style></section><abstract><style face="normal" font="default" size="100%">&lt;p&gt;The analysis of the uterine contraction have become a general practice in an effort to improve the clinical management of uterine contractions during pregnancy and labour in human beings. The fluctuations in uterine activity may occur without affecting progress of gestation, however the painful and fashion contractions may be the first threat of misscarage. While pigs were considered as an referential preclinical model, the computational modelling of spontaneous myoelectrical activity of complex systems of porcine myometrium in peri-fertilization period has been proposed. The higher order statistic, multivariate cumulants and Joint Skewness Band Selection method, have been applied to study the dependence structure of electromyographic (EMG) signal with an effective EMG feature. Than the model of recognition of multivariate, myoelectricaly changes according to crucial stages for successful fertilization and early pregnancy maintenance has been estimated. We found that considering together time and frequency features of EMG signal was extremely non-Gaussian distributed and the higher order multivariate statistics such as cumulants, have to be used to determine the pattern of myoelectrical activity in reproductive tract. We confirmed the expectance that the probabilistic model changes on a daily base. We demonstrated the changes in proposed model at the crucial time points of in peri-fertilization period. We speculate the activity of the middle of uterine horn and the power (minimum and maximum) and pauses between myoelectrical burst features are essential for the functional role of uterine contractility in peri-fertilization period.&lt;/p&gt;&#13;
</style></abstract><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>28</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Krzysztof Domino</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Selected Methods for non-Gaussian Data Analysis</style></title></titles><keywords/><dates><year><style face="normal" font="default" size="100%">2019</style></year></dates><urls><style face="normal" font="default" size="100%">https://arxiv.org/abs/1811.10486</style></urls><abstract><style face="normal" font="default" size="100%">&lt;p&gt;The basic goal of computer engineering is the analysis of data. Such data are often large data sets distributed according to various distribution models. In this manuscript we focus on the analysis of non-Gaussian distributed data. In the case of univariate data analysis we discuss stochastic processes with auto-correlated increments and univariate distributions derived from specific stochastic processes, i.e. Levy and Tsallis distributions. Deep investigation of multivariate non-Gaussian distributions requires the copula approach. A copula is an component of multivariate distribution that models the mutual interdependence between marginals. There are many copula families characterised by various measures of the dependence between marginals. Importantly, one of those are `tail' dependencies that model the simultaneous appearance of extreme values in many marginals. Those extreme events may reflect a crisis given financial data, outliers in machine learning, or a traffic congestion. Next we discuss higher order multivariate cumulants that are non-zero if multivariate distribution is non-Gaussian. However, the relation between cumulants and copulas is not straight forward and rather complicated. We discuss the application of those cumulants to extract information about non-Gaussian multivariate distributions, such that information about non-Gaussian copulas. The use of higher order multivariate cumulants in computer science is inspired by financial data analysis, especially by the safe investment portfolio evaluation. There are many other applications of higher order multivariate cumulants in data engineering, especially in: signal processing, non-linear system identification, blind sources separation, and direction finding algorithms of multi-source signals.&lt;/p&gt;&#13;
</style></abstract><publisher><style face="normal" font="default" size="100%"> IITiS PAN</style></publisher><pub-location><style face="normal" font="default" size="100%">Gliwice</style></pub-location><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Małgorzata Domino</style></author><author><style face="normal" font="default" size="100%">Krzysztof Domino</style></author><author><style face="normal" font="default" size="100%">Bartosz Pawlinski</style></author><author><style face="normal" font="default" size="100%">Maria Sady</style></author><author><style face="normal" font="default" size="100%">Magdalena Gajewska</style></author><author><style face="normal" font="default" size="100%">Zdzisław Gajewski</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Computational multivariate modeling of electrical activity of the porcine uterus during spontaneous and hormone-induced estrus</style></title></titles><keywords/><dates><year><style face="normal" font="default" size="100%">2019</style></year><pub-dates><date><style face="normal" font="default" size="100%">01/2019</style></date></pub-dates></dates><secondary-title><style face="normal" font="default" size="100%">Experimental Physiology</style></secondary-title><urls><style face="normal" font="default" size="100%">http://onlinelibrary.wiley.com/doi/10.1113/EP087451/full</style></urls><electronic-resource-num><style face="normal" font="default" size="100%">doi.org/10.1113/EP087451</style></electronic-resource-num><volume><style face="normal" font="default" size="100%">104</style></volume><issue><style face="normal" font="default" size="100%">3</style></issue><section><style face="normal" font="default" size="100%">322</style></section><abstract><style face="normal" font="default" size="100%">&lt;p&gt;In pig production units, control of the estrous cycle and synchronization of ovulation have become routine herd management procedures. During the estrous cycle, under both induced and spontaneous conditions, the ovaries and the uterus undergo hormone-dominated physiological changes, these are consistent with the hypothesis that there is a functional role of uterine contractions in promoting fertilization. We have used electromyography to determine if the use of exogenous hormones, such as eCG and hCG, that have the potential to control the time of ovulation in female pigs, changes the multivariate relations between parameters of electrical bursts and modulates the patterns of myoelectrical activity. In the study presented here, we employed the mathematical approach of higher order multivariate cumulants in complex modeling of the myometrial electrical activity. The experiment was conducted on 12 mature Polish Landrace sows and uterine activity was recorded during both spontaneous and induced estrous cycles. The burst parameters were determined using six features, in the time domain and after the Fast Fourier transformation in the frequency domain. The evaluation of myoelectrical activity patterns was conducted based on the classical univariate statistical methods and the multivariate probabilistic modelling. The classical statistical approach indicated a weaker myoelectrical activity after hormonal stimulation, whereas the higher order multivariate statistical model showed evidence of similar status of activity and larger order of signals during induced estrus. Routine estrous cycle synchronization affects the multivariate probabilistic model of myometrial electrical activity.&lt;/p&gt;&#13;
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</style></abstract><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>13</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Małgorzata Domino</style></author><author><style face="normal" font="default" size="100%">Krzysztof Domino</style></author><author><style face="normal" font="default" size="100%">Jasinski Tomasz</style></author><author><style face="normal" font="default" size="100%">Bartosz Pawlinski</style></author><author><style face="normal" font="default" size="100%">Zdzisław Gajewski</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">The hierarchy of the features of uterine myoelectrical activity during estrus cycle in sows</style></title></titles><keywords/><dates><year><style face="normal" font="default" size="100%">2019</style></year><pub-dates><date><style face="normal" font="default" size="100%">02/2019</style></date></pub-dates></dates><secondary-title><style face="normal" font="default" size="100%"> 52nd Annual Conference of Physiology and Pathology of Reproduction</style></secondary-title><electronic-resource-num><style face="normal" font="default" size="100%">10.1111/rda.13387</style></electronic-resource-num><pages><style face="normal" font="default" size="100%">p. 26</style></pages><volume><style face="normal" font="default" size="100%">54</style></volume><publisher><style face="normal" font="default" size="100%">WILEY, 111 RIVER ST, HOBOKEN 07030-5774, NJ USA</style></publisher><pub-location><style face="normal" font="default" size="100%">Gottingen, GERMANY </style></pub-location><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Piotr Weber</style></author><author><style face="normal" font="default" size="100%">Piotr Bełdowski</style></author><author><style face="normal" font="default" size="100%">Krzysztof Domino</style></author><author><style face="normal" font="default" size="100%">Damian Ledziński</style></author><author><style face="normal" font="default" size="100%">Adam Gadomski</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Changes of Conformation in Albumin Protein with Temperature</style></title></titles><keywords/><dates><year><style face="normal" font="default" size="100%">2020</style></year><pub-dates><date><style face="normal" font="default" size="100%">03/2020</style></date></pub-dates></dates><secondary-title><style face="normal" font="default" size="100%">Entropy</style></secondary-title><urls><style face="normal" font="default" size="100%">https://www.mdpi.com/1099-4300/22/4/405</style></urls><electronic-resource-num><style face="normal" font="default" size="100%">https://doi.org/10.3390/e22040405</style></electronic-resource-num><volume><style face="normal" font="default" size="100%">405</style></volume><issue><style face="normal" font="default" size="100%">22(4)</style></issue><abstract><style face="normal" font="default" size="100%">This work presents the analysis of the conformation of albumin in the temperature range of 300K – 312K , i.e., in the physiological range. Using molecular dynamics simulations, we calculate values of the backbone and dihedral angles for this molecule. We analyze the global dynamic properties of albumin treated as a chain. In this range of temperature, we study parameters of the molecule and the conformational entropy derived from two angles that reflect global dynamics in the conformational space. A thorough rationalization, based on the scaling theory, for the subdiffusion Flory–De Gennes type exponent of 0.4 unfolds in conjunction with picking up the most appreciable fluctuations of the corresponding statistical-test parameter. These fluctuations coincide adequately with entropy fluctuations, namely the oscillations out of thermodynamic equilibrium. Using Fisher’s test, we investigate the conformational entropy over time and suggest its oscillatory properties in the corresponding time domain. Using the Kruscal–Wallis test, we also analyze differences between the root mean square displacement of a molecule at various temperatures. Here we show that its values in the range of 306K – 309K are different than in another temperature. Using the Kullback–Leibler theory, we investigate differences between the distribution of the root mean square displacement for each temperature and time window.</style></abstract><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>5</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Agnieszka Anna Tomaka</style></author><author><style face="normal" font="default" size="100%">Leszek Luchowski</style></author><author><style face="normal" font="default" size="100%">Dariusz Pojda</style></author><author><style face="normal" font="default" size="100%">Michał Tarnawski</style></author><author><style face="normal" font="default" size="100%">Krzysztof Domino</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">The dynamics of the stomatognathic system from 4D multimodal data</style></title></titles><keywords/><dates><year><style face="normal" font="default" size="100%">2019</style></year></dates><secondary-title><style face="normal" font="default" size="100%">In A.Gadomski (ed.): Multiscale Locomotion: Its Active-Matter Addressing Physical Principles</style></secondary-title><urls><style face="normal" font="default" size="100%">http://arxiv.org/abs/1911.08854</style></urls><section><style face="normal" font="default" size="100%">3</style></section><abstract><style face="normal" font="default" size="100%">&lt;pre&gt;&#13;
  The purpose of this chapter is to discuss methods of acquisition,&#13;
visualization and analysis of the dynamics of a complex biomedical system,&#13;
illustrated by the human stomatognathic system. The stomatognathic system&#13;
consists of the teeth and the skull bones with the maxilla and the mandible.&#13;
Its dynamics can be described by the change of mutual position of the&#13;
lower/mandibular part versus the upper/maxillary one due to the physiological&#13;
motion of opening, chewing and swallowing. In order to analyse the dynamics of&#13;
the stomatognathic system its morphology and motion has to be digitized, which&#13;
is done using static and dynamic multimodal imagery like CBCT and 3D scans data&#13;
and temporal measurements of motion. The integration of multimodal data&#13;
incorporates different direct and indirect methods of registration - aligning&#13;
of all the data in the same coordinate system. The integrated sets of data form&#13;
4D multimodal data which can be further visualized, modeled, and subjected to&#13;
multivariate time series analysis. Example results are shown. Although there is&#13;
no direct method of imaging the TMJ motion, the integration of multimodal data&#13;
forms an adequate tool. As medical imaging becomes ever more diverse and ever&#13;
more accessible, organizing the imagery and measurements into unified,&#13;
comprehensive records can deliver to the doctor the most information in the&#13;
most accessible form, creating a new quality in data simulation, analysis and&#13;
interpretation.&lt;/pre&gt;&#13;
</style></abstract><publisher><style face="normal" font="default" size="100%"/></publisher><pub-location><style face="normal" font="default" size="100%">Bydgoszcz</style></pub-location><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>5</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">N. Kruszewska</style></author><author><style face="normal" font="default" size="100%">Piotr Bełdowski</style></author><author><style face="normal" font="default" size="100%">Krzysztof Domino</style></author><author><style face="normal" font="default" size="100%">Kanika Lambert</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Investigating conformation changes and network formation of mucin in joints functioning in human locomotion</style></title></titles><keywords/><dates><year><style face="normal" font="default" size="100%">2019</style></year></dates><secondary-title><style face="normal" font="default" size="100%"> In A.Gadomski (ed.): Multiscale Locomotion: Its Active-Matter Addressing Physical Principles</style></secondary-title><urls><style face="normal" font="default" size="100%">https://arxiv.org/abs/1911.09383</style></urls><section><style face="normal" font="default" size="100%">7</style></section><abstract><style face="normal" font="default" size="100%">&lt;p&gt;Many different processes take place to facilitate lubrication of the joints functioning in human locomotion system. The main purpose of this is to avoid destroying the articular cartilage. Viscoelastic properties of the joints system are very sensitive on both temperature and concentration changes because of the change in conformation presented in the system proteins and protein network formation. We are searching for an answer to the question on how changes in temperature and concentration influence the conformational entropy of mucin protein which is a part of one of the key components, lubricin, which is believed to be responsible for gel formation inside synovial fluid. We are using molecular dynamic technique to obtain the information about dihedral (phi, psi) angles of the mucin during protein self - assembly by means of the computer simulation with a time duration up to 50 ns, parameterized by six temperatures ranged between 300 - 315 K, and six concentrations 10.68 - 267.1 g/L. The results show that between c3 and c4 (160 g/L and 214 g/L) a transition exists where crowding begins affecting the dynamics of protein network formation. In such a concentration ranges mucin has a chance to change the frictional properties of the system. Simultaneously there were no significant changes in conformations of the mucins molecules even after they created networks. The temperature changes also did not affect much of mucins conformations but it introduced slightly modifications in dihedral angles and after some critical value T=306 K it changed conformational entropy trend from decreasing to raising.&lt;/p&gt;&#13;
</style></abstract><publisher><style face="normal" font="default" size="100%"/></publisher><pub-location><style face="normal" font="default" size="100%"> Bydgoszcz</style></pub-location><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>5</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Piotr Bełdowski</style></author><author><style face="normal" font="default" size="100%">Krzysztof Domino</style></author><author><style face="normal" font="default" size="100%">Damian Bełdowski</style></author><author><style face="normal" font="default" size="100%">Robert Dobosz</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Analysis of Protein Intramolecular and Solvent Bonding on Example of Major Synovial Fluid Component</style></title></titles><keywords/><dates><year><style face="normal" font="default" size="100%">2021</style></year><pub-dates><date><style face="normal" font="default" size="100%">11/2019</style></date></pub-dates></dates><secondary-title><style face="normal" font="default" size="100%">Gadomski A. (eds) Water in Biomechanical and Related Systems. Biologically-Inspired Systems</style></secondary-title><electronic-resource-num><style face="normal" font="default" size="100%">https://doi.org/10.1007/978-3-030-67227-0_5</style></electronic-resource-num><pages><style face="normal" font="default" size="100%">93-105</style></pages><volume><style face="normal" font="default" size="100%">17</style></volume><section><style face="normal" font="default" size="100%">5</style></section><abstract><style face="normal" font="default" size="100%">&lt;p&gt;Molecular interactions within proteins are fundamental to maintain their conformation and role in biological systems. Understanding the nature and dynamics of the interactions is crucial as it can help understand phenomena occurring during physiological processes, drug design, and delivery, etc. This chapter presents the analysis of the dynamics of molecular interactions inside proteins on an example of albumin. We have performed computer simulations of albumin protein at its native/equilibrium state to understand the dynamics of bonding/interactions inside the protein and with water: hydrogen bonds and hydrophobic interactions. Furthermore, we extracted the data to look into interactions between particular amino acids (AA). As expected, charged AA, such as the glutamic acid (GLU) and lysine (LYS) one, form most intermolecular hydrogen bonds and bind most water.&lt;/p&gt;&#13;
&#13;
&lt;p&gt;Further, in hydrophobic contacts, the significant role plays phenylalanine (PHE) and leucine (LEU) amino-acids. We have also found that although its hydrophobic nature, the LEU forms the most stable contacts. This can be attributed to its position in the core of the protein. The presented results may help better understand the dynamics of a complex structure such as protein.&lt;/p&gt;&#13;
</style></abstract><isbn><style face="normal" font="default" size="100%">ISBN 978-3-030-67227-0</style></isbn><publisher><style face="normal" font="default" size="100%">Springer, Cham</style></publisher><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>13</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Przemysław Głomb</style></author><author><style face="normal" font="default" size="100%">Krzysztof Domino</style></author><author><style face="normal" font="default" size="100%">Michał Romaszewski</style></author><author><style face="normal" font="default" size="100%">Michał Cholewa</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Band selection with Higher Order Multivariate Cumulants for small target detection in hyperspectral images</style></title></titles><keywords/><dates><year><style face="normal" font="default" size="100%">2019</style></year><pub-dates><date><style face="normal" font="default" size="100%">2019</style></date></pub-dates></dates><secondary-title><style face="normal" font="default" size="100%">PP-RAI'2019</style></secondary-title><urls><style face="normal" font="default" size="100%">https://arxiv.org/abs/1808.03513</style></urls><pages><style face="normal" font="default" size="100%">p. 121</style></pages><isbn><style face="normal" font="default" size="100%">978-83-943803-2-8</style></isbn><publisher><style face="normal" font="default" size="100%">Wroclaw University of Science and Technology</style></publisher><pub-location><style face="normal" font="default" size="100%">Wrocław, Poland</style></pub-location><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Tomasz Błachowicz</style></author><author><style face="normal" font="default" size="100%">Tobias Böhm</style></author><author><style face="normal" font="default" size="100%">Jacek Grzybowski</style></author><author><style face="normal" font="default" size="100%">Krzysztof Domino</style></author><author><style face="normal" font="default" size="100%">Andrea Ehrmann</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Analysis of AFM images of Nanofibre Mats for Automated Processing</style></title></titles><keywords/><dates><year><style face="normal" font="default" size="100%">2020</style></year><pub-dates><date><style face="normal" font="default" size="100%">06/2020</style></date></pub-dates></dates><secondary-title><style face="normal" font="default" size="100%">Tekstilec</style></secondary-title><urls><style face="normal" font="default" size="100%">http://www.tekstilec.si/wp-content/uploads/2020/06/10.14502Tekstilec2020.63.104-112.pdf</style></urls><electronic-resource-num><style face="normal" font="default" size="100%">    DOI: 10.14502/Tekstilec2020.63.104-112</style></electronic-resource-num><volume><style face="normal" font="default" size="100%">63</style></volume><issue><style face="normal" font="default" size="100%">2</style></issue><section><style face="normal" font="default" size="100%">104</style></section><abstract><style face="normal" font="default" size="100%">&lt;p&gt;&lt;span style="font-family:sans-serif; font-size:16.6667px"&gt;The image processing of pictures from fi bres and fi brous materials facilitates the investigation of diverse ge-&lt;/span&gt;&lt;span style="font-family:sans-serif; font-size:16.6667px"&gt;ometrical properties, such as yarn hairiness, fi bre bifurcations or fi bre lengths and diameters. Such irregular &lt;/span&gt;&lt;span style="font-family:sans-serif; font-size:16.6667px"&gt;sample sets are naturally suitable to the statistical examination of images, using a random-walk algorithm. &lt;/span&gt;&lt;span style="font-family:sans-serif; font-size:16.6667px"&gt;This results in the calculation of the so-called Hurst exponent, which is the asymptotic scaling exponent of &lt;/span&gt;&lt;span style="font-family:sans-serif; font-size:16.6667px"&gt;the mean squared displacement of the walker’s position. Previous investigations have proven the appropri-&lt;/span&gt;&lt;span style="font-family:sans-serif; font-size:16.6667px"&gt;ateness of this method for examinations of diff&lt;/span&gt;&lt;span style="font-family:sans-serif; font-size:16.6667px"&gt; erent fi bres, yarns and textile fabrics. In a recent study, we &lt;/span&gt;&lt;span style="font-family:sans-serif; font-size:16.6667px"&gt;used AFM (atomic force microscopy) images, split into diff&lt;/span&gt;&lt;span style="font-family:sans-serif; font-size:16.6667px"&gt; erent greyscales, to analyse and quantify diff&lt;/span&gt;&lt;span style="font-family:sans-serif; font-size:16.6667px"&gt; er-&lt;/span&gt;&lt;span style="font-family:sans-serif; font-size:16.6667px"&gt;ences between various nanofi bre mats created from polyacrylonitrile. In addition to the strong infl uence of &lt;/span&gt;&lt;span style="font-family:sans-serif; font-size:16.6667px"&gt;the nanofi bre diameters, a certain impact of the AFM settings was also seen and must be taken into account &lt;/span&gt;&lt;span style="font-family:sans-serif; font-size:16.6667px"&gt;in future research.&lt;/span&gt;&lt;/p&gt;&#13;
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&lt;p&gt;&#160;&lt;/p&gt;&#13;
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&lt;p&gt;&#160;&lt;/p&gt;&#13;
</style></abstract><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>5</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">N. Kruszewska</style></author><author><style face="normal" font="default" size="100%">Krzysztof Domino</style></author><author><style face="normal" font="default" size="100%">Piotr Weber</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Water Behvaior Near the  Lipid Bilayer</style></title></titles><keywords/><dates><year><style face="normal" font="default" size="100%">2021</style></year></dates><secondary-title><style face="normal" font="default" size="100%">Gadomski A. (eds) Water in Biomechanical and Related Systems. Biologically-Inspired Systems</style></secondary-title><electronic-resource-num><style face="normal" font="default" size="100%">https://doi.org/10.1007/978-3-030-67227-0_6</style></electronic-resource-num><pages><style face="normal" font="default" size="100%">107-130</style></pages><volume><style face="normal" font="default" size="100%">17</style></volume><section><style face="normal" font="default" size="100%">6</style></section><abstract><style face="normal" font="default" size="100%">&lt;p&gt;In this chapter, we focus on the dynamics of water molecules situated in the vicinity of a phospholipid bilayer. Using a molecular dynamics simulation method, we studied interactions between water and the bilayer and tracked trajectories of the water molecules. Based on the hypothesis that molecules trapped inside the bilayer make different motions than the ones which are either attached to the surface or move freely in the water bulk, we divided the water molecules into three groups&#160;– the ones that exhibited subdiffusion (confined) motion, the ones that move diffusionally in the bulk and the ones that move superdiffusively due to interactions with the moving bilayer. In detail, the water behavior near the bilayer has been analyzed by mean squared displacement and entropy computed separately for the above mentioned three groups of molecules. To explain the subdiffusion motion of the water molecules, the number and the duration of hydrogen bonds created between water molecules and the bilayer have been investigated. In addition, we examined the mechanism of water molecule self-diffusion, by means of statistical tests. Our studies aim to present insight into the understanding of the lipid’s role in water self-diffusion, which can be responsible for triggering different tribological responses of the system.&lt;/p&gt;&#13;
</style></abstract><isbn><style face="normal" font="default" size="100%">ISBN 978-3-030-67227-0</style></isbn><publisher><style face="normal" font="default" size="100%">Springer, Cham</style></publisher><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Krzysztof Domino</style></author><author><style face="normal" font="default" size="100%">Mátyás Koniorczyk</style></author><author><style face="normal" font="default" size="100%">Krzysztof Krawiec</style></author><author><style face="normal" font="default" size="100%">Konrad Jałowiecki</style></author><author><style face="normal" font="default" size="100%">Sebastian Deffner</style></author><author><style face="normal" font="default" size="100%">Bartłomiej Gardas</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Quantum annealing in the NISQ era: railway conflict management</style></title></titles><keywords/><dates><year><style face="normal" font="default" size="100%">2023</style></year><pub-dates><date><style face="normal" font="default" size="100%">01/2023</style></date></pub-dates></dates><secondary-title><style face="normal" font="default" size="100%">Entropy</style></secondary-title><electronic-resource-num><style face="normal" font="default" size="100%">https://doi.org/10.3390/e25020191</style></electronic-resource-num><volume><style face="normal" font="default" size="100%">25</style></volume><section><style face="normal" font="default" size="100%">191</style></section><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">N. Kruszewska</style></author><author><style face="normal" font="default" size="100%">Krzysztof Domino</style></author><author><style face="normal" font="default" size="100%">Radosław Drelich</style></author><author><style face="normal" font="default" size="100%">Wieslaw Urbaniak</style></author><author><style face="normal" font="default" size="100%">Aneta Petelska</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Interactions between Beta-2-glycoprotein-1 and phospholipid bilayer  – a molecular dynamic study</style></title></titles><keywords/><dates><year><style face="normal" font="default" size="100%">2020</style></year><pub-dates><date><style face="normal" font="default" size="100%">12/2020</style></date></pub-dates></dates><secondary-title><style face="normal" font="default" size="100%">Membranes</style></secondary-title><urls><style face="normal" font="default" size="100%">https://doi.org/10.3390/membranes10120396</style></urls><electronic-resource-num><style face="normal" font="default" size="100%">doi:10.3390/membranes10120396</style></electronic-resource-num><volume><style face="normal" font="default" size="100%">10(12)</style></volume><section><style face="normal" font="default" size="100%">396</style></section><abstract><style face="normal" font="default" size="100%">&lt;p&gt;The study aims to investigate the interactions appearing when the Beta-2-glycoprotein-1 binds to a lipid bilayer. The inter- and intramolecular forces acting between the two macromolecular systems have been investigated using a molecular dynamics simulation method. The importance of water bridges has also been addressed. Additionally, the viscoelastic response of the bilayer has been studied. In detail - the (saturated-chain) DPPC and (unsaturated-chain) POPE bilayers have been chosen to test their behavior near the protein. Both of the lipids have a polar head, but of different chemical structure, and are similar to the main phospholipids present in the synovial fluid. This study is meaningful for further explanation of the worsening friction properties in articular cartilage, as the inactivation of phospholipid bilayers by Beta-2-glycoprotein-1 is believed to be a cause of destruction of cartilage in most rheumatic diseases and osteoarthritis. It was found that the protein binds stronger to the DPPC bilayer than to the POPE, but in both cases, it has the potential to change the local bilayer stability. Nevertheless, the binding forces are placed within a small area (only few lipids contribute to the binding, creating many interactions) but they together are not stronger than the covalent bonds between C-O, thus potentially it is possible to pull the lipids from the bilayer but detaching the lipids’ heads from the tail is not possible. Additionally, the protein causes water displacement from the vicinity of the bilayer, and this may be a contributor to instability of the bilayer (disrupting the water bridges needed for the stabilization of the bilayer). Moreover, it was found that the diffusivity of lipids in the DPPC bilayer bound to the protein is significantly different from the diffusivity of the ones which are not in contact with the protein. The POPE bilayer is stiffer due to intramolecular interactions, which are stronger than in the DPPC, thus the ratio of the viscous to elastic effects in the case of the POPE is greater than in the case of the DPPC. It is therefore harder to destabilize the POPE bilayer than the DPPC one.&lt;/p&gt;&#13;
</style></abstract><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Tomasz Błachowicz</style></author><author><style face="normal" font="default" size="100%">Krzysztof Domino</style></author><author><style face="normal" font="default" size="100%">Michal Koruszowic</style></author><author><style face="normal" font="default" size="100%">Jacek Grzybowski</style></author><author><style face="normal" font="default" size="100%">Tobias Böhm</style></author><author><style face="normal" font="default" size="100%">Andrea Ehrmann</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Statistical analysis of nanofiber mat AFM images by  gray-scale-resolved Hurst exponent distributions</style></title></titles><keywords/><dates><year><style face="normal" font="default" size="100%">2021</style></year></dates><secondary-title><style face="normal" font="default" size="100%">Applied Sciences</style></secondary-title><urls><style face="normal" font="default" size="100%">https://www.mdpi.com/2076-3417/11/5/2436/pdf</style></urls><electronic-resource-num><style face="normal" font="default" size="100%">https://doi.org/10.3390/app11052436 </style></electronic-resource-num><volume><style face="normal" font="default" size="100%">11</style></volume><issue><style face="normal" font="default" size="100%">2436</style></issue><abstract><style face="normal" font="default" size="100%">&lt;p&gt;&lt;span style="font-family:serif; font-size:14.1113px"&gt;Two-dimensional structures, either periodic &lt;/span&gt;&lt;span style="font-family:serif; font-size:14.1113px"&gt;or random, can be classified by diverse &lt;/span&gt;&lt;span style="font-family:serif; font-size:14.1113px"&gt;mathematical methods. Quantitative&lt;/span&gt;&lt;span style="font-family:serif; font-size:14.1113px"&gt; descriptions of such surfaces, however, are scarce since bijec-&lt;/span&gt;&lt;span style="font-family:serif; font-size:14.1113px"&gt;tive definitions must be found to measure unique dependency between described structures and &lt;/span&gt;&lt;span style="font-family:serif; font-size:14.1113px"&gt;the chosen quantitative parameters. To solve this &lt;/span&gt;&lt;span style="font-family:serif; font-size:14.1113px"&gt;problem, we use statistical analysis of periodic &lt;/span&gt;&lt;span style="font-family:serif; font-size:14.1113px"&gt;fibrous structures by Hurst exponent distribution&lt;/span&gt;&lt;span style="font-family:serif; font-size:14.1113px"&gt;s. Although such a Hurst exponent approach was &lt;/span&gt;&lt;span style="font-family:serif; font-size:14.1113px"&gt;suggested some years ago, the quantitative analysis of atomic force microscopy (AFM) images of &lt;/span&gt;&lt;span style="font-family:serif; font-size:14.1113px"&gt;nanofiber mats in such a way was described only recently. In this paper, we discuss the influence of &lt;/span&gt;&lt;span style="font-family:serif; font-size:14.1113px"&gt;typical AFM image post-processing steps on the gr&lt;/span&gt;&lt;span style="font-family:serif; font-size:14.1113px"&gt;ay-scale-resolved Hurst exponent distribution. &lt;/span&gt;&lt;span style="font-family:serif; font-size:14.1113px"&gt;Examples of these steps are polynomial background &lt;/span&gt;&lt;span style="font-family:serif; font-size:14.1113px"&gt;subtraction, aligning rows, deleting horizontal &lt;/span&gt;&lt;span style="font-family:serif; font-size:14.1113px"&gt;errors and sharpening. Our results show that whil&lt;/span&gt;&lt;span style="font-family:serif; font-size:14.1113px"&gt;e characteristic features of these false-color &lt;/span&gt;&lt;span style="font-family:serif; font-size:14.1113px"&gt;images may be shifted in terms of gray-channel and Hurst exponent, they can still be used to &lt;/span&gt;&lt;span style="font-family:serif; font-size:14.1113px"&gt;identify AFM images and, in the next step, to qu&lt;/span&gt;&lt;span style="font-family:serif; font-size:14.1113px"&gt;antitatively describe AFM images of nanofibrous &lt;/span&gt;&lt;span style="font-family:serif; font-size:14.1113px"&gt;surfaces. Such a gray-channel approach can be regarded as a simple way to include some infor-&lt;/span&gt;&lt;span style="font-family:serif; font-size:14.1113px"&gt;mation about the 3D structure of the image.&lt;/span&gt;&lt;/p&gt;&#13;
</style></abstract><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Krzysztof Domino</style></author><author><style face="normal" font="default" size="100%">Akash Kundu</style></author><author><style face="normal" font="default" size="100%">Özlem Salehi</style></author><author><style face="normal" font="default" size="100%">Krzysztof Krawiec</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Quadratic and Higher-Order Unconstrained Binary Optimization of Railway Rescheduling for Quantum Computing</style></title></titles><keywords/><dates><year><style face="normal" font="default" size="100%">2022</style></year><pub-dates><date><style face="normal" font="default" size="100%">09/2022</style></date></pub-dates></dates><secondary-title><style face="normal" font="default" size="100%">Quantum Information Processing</style></secondary-title><electronic-resource-num><style face="normal" font="default" size="100%">10.1007/s11128-022-03670-y</style></electronic-resource-num><volume><style face="normal" font="default" size="100%">21</style></volume><issue><style face="normal" font="default" size="100%">9</style></issue><section><style face="normal" font="default" size="100%">1</style></section><abstract><style face="normal" font="default" size="100%">&lt;p&gt;As consequences of disruptions in railway traffic affect passenger experience/satisfaction, appropriate dispatching decisions are necessary. The problem of optimal scheduling the order of trains is known to be NP-hard, given the numerous restrictions of traffic nature. With the recent advances in quantum technologies, quantum annealing has become an alternative method to solve optimization problems. To use quantum annealing, the problem needs to be encoded in QUBO (quadratic unconstrained binary optimization) or HOBO (higher-order binary optimization) formulation. This paper introduces QUBO and HOBO representations for dispatching problems of railway traffic management, the latter is a new approach up to our knowledge. This new approach takes into account not only the single-track lines, but also the double- and multi-track lines. We consider the conditions of minimal span between trains, minimal stay on stations, track occupation, and rolling stock circulation. Furthermore, a hybrid algorithm is presented that allows obtaining better solutions compared to the ordinary approach. We demonstrate the implementation on the D-Wave Quantum Processing Unit and its hybrid solver.&lt;/p&gt;&#13;
</style></abstract><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Krzysztof Domino</style></author><author><style face="normal" font="default" size="100%">Mátyás Koniorczyk</style></author><author><style face="normal" font="default" size="100%">Zbigniew Puchała</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Statistical quality assessment of Ising-based annealer outputs</style></title></titles><keywords/><dates><year><style face="normal" font="default" size="100%">2022</style></year><pub-dates><date><style face="normal" font="default" size="100%">08/2022</style></date></pub-dates></dates><secondary-title><style face="normal" font="default" size="100%">Quantum Information Processing</style></secondary-title><urls><style face="normal" font="default" size="100%">https://doi.org/10.1007/s11128-022-03623-5</style></urls><electronic-resource-num><style face="normal" font="default" size="100%">10.1007/s11128-022-03623-5</style></electronic-resource-num><volume><style face="normal" font="default" size="100%">21</style></volume><section><style face="normal" font="default" size="100%">228</style></section><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Piotr Weber</style></author><author><style face="normal" font="default" size="100%">Piotr Bełdowski</style></author><author><style face="normal" font="default" size="100%">Adam Gadomski</style></author><author><style face="normal" font="default" size="100%">Krzysztof Domino</style></author><author><style face="normal" font="default" size="100%">Piotr Sionkowski</style></author><author><style face="normal" font="default" size="100%">Damian Ledziński</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Statistical method for analysis of interactions between chosen protein and chondroitin sulfate in an aqueous  environment</style></title></titles><keywords/><dates><year><style face="normal" font="default" size="100%">2024</style></year><pub-dates><date><style face="normal" font="default" size="100%">03/2024</style></date></pub-dates></dates><secondary-title><style face="normal" font="default" size="100%">The 16th International Conference "Dynamical Systems – Theory and Applications" (DSTA 2021)</style></secondary-title><urls><style face="normal" font="default" size="100%">https://link.springer.com/chapter/10.1007/978-3-031-56496-3_45</style></urls><electronic-resource-num><style face="normal" font="default" size="100%">doi.org/10.1007/978-3-031-56496-3_45</style></electronic-resource-num><abstract><style face="normal" font="default" size="100%">&lt;p&gt;We present the statistical method to study the interaction between a chosen protein and another molecule (e.g., both being components of lubricin found in synovial fluid) in a water environment. The research is performed on the example of univariate time series of chosen features of the dynamics of mucin, which interact with chondroitin sulfate (4 and 6) in four different saline solutions.&lt;br /&gt;&#13;
Our statistical approach is based on recurrence methods to analyze chosen features of molecular dynamics. Such recurrence methods are usually applied to reconstruct the evolution of a molecular system in its reduced phase space, where the most important variables in the process are taken into account. In detail, the analyzed time-series are spitted onto sub-series of records that are expected to carry meaningful information about the system of molecules. Elements of sub-series are splinted by the constant delay-time lag (that is the parameter determined by statistical testing in our case), and the length of sub-series is the embedded dimension parameter (using the Cao method). We use the recurrent plots approach combined with the Shannon entropy approach to analyze the robustness of the sub-series determination. We hypothesize that the robustness of the sub-series determines some specifics of the dynamics of the system of molecules. We analyze rather highly noised features to demonstrate that such features lead to recurrence plots that graphically look similar. From the recurrence plots, the Shannon entropy has been computed. We have, however, demonstrated that the Shannon entropy value is highly dependent on the delay time value for analyzed features. Hence, elaboration of a more precise method of the recurrence plot analysis is required. For this reason, we suggest the random walk method that can be applied to analyze the recurrence plots automatically.&lt;/p&gt;&#13;
</style></abstract><isbn><style face="normal" font="default" size="100%">978-3-031-56495-6</style></isbn><publisher><style face="normal" font="default" size="100%">Springer, Cham,  Perspectives in Dynamical Systems II — Numerical and Analytical Approaches (DSTA 2021)</style></publisher><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Piotr Sionkowski</style></author><author><style face="normal" font="default" size="100%">Piotr Bełdowski</style></author><author><style face="normal" font="default" size="100%">N. Kruszewska</style></author><author><style face="normal" font="default" size="100%">Piotr Weber</style></author><author><style face="normal" font="default" size="100%">Beata Marciniak</style></author><author><style face="normal" font="default" size="100%">Krzysztof Domino</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Effect of ion and binding site on the conformation of chosen glycosaminoglycans at the albumin surface</style></title></titles><keywords/><dates><year><style face="normal" font="default" size="100%">2022</style></year><pub-dates><date><style face="normal" font="default" size="100%">06/2022</style></date></pub-dates></dates><secondary-title><style face="normal" font="default" size="100%">Entropy 2022, 24, 811.</style></secondary-title><urls><style face="normal" font="default" size="100%">https://www.mdpi.com/1099-4300/24/6/811/pdf</style></urls><electronic-resource-num><style face="normal" font="default" size="100%">https://doi.org/10.3390/e24060811 </style></electronic-resource-num><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Krzysztof Domino</style></author><author><style face="normal" font="default" size="100%">Jaroslaw Miszczak</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Will you infect me with your opinion?</style></title></titles><keywords/><dates><year><style face="normal" font="default" size="100%">2022</style></year><pub-dates><date><style face="normal" font="default" size="100%">11/2022</style></date></pub-dates></dates><secondary-title><style face="normal" font="default" size="100%">Physica A: Statistical Mechanics and its Applications</style></secondary-title><urls><style face="normal" font="default" size="100%">https://doi.org/10.48550/arXiv.2208.13426</style></urls><electronic-resource-num><style face="normal" font="default" size="100%">10.1016/j.physa.2022.128289</style></electronic-resource-num><volume><style face="normal" font="default" size="100%">608</style></volume><issue><style face="normal" font="default" size="100%">128289</style></issue><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Krzysztof Krawiec</style></author><author><style face="normal" font="default" size="100%">Mátyás Koniorczyk</style></author><author><style face="normal" font="default" size="100%">Krzysztof Domino</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Możliwość zastosowania obliczeń kwantowych w modelowaniu systemów i procesów transportowych</style></title></titles><keywords/><dates><year><style face="normal" font="default" size="100%">2022</style></year><pub-dates><date><style face="normal" font="default" size="100%">11/2022</style></date></pub-dates></dates><secondary-title><style face="normal" font="default" size="100%">Transport Miejski i Regionalny</style></secondary-title><urls><style face="normal" font="default" size="100%">https://tmir.sitk.org.pl/nr-9-2022-r/</style></urls><volume><style face="normal" font="default" size="100%">09</style></volume><section><style face="normal" font="default" size="100%">31</style></section><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Tomasz Śmierzchalski</style></author><author><style face="normal" font="default" size="100%">Jakub Pawłowski</style></author><author><style face="normal" font="default" size="100%">Artur Przybysz</style></author><author><style face="normal" font="default" size="100%">Łukasz Pawela</style></author><author><style face="normal" font="default" size="100%">Zbigniew Puchała</style></author><author><style face="normal" font="default" size="100%">Mátyás Koniorczyk</style></author><author><style face="normal" font="default" size="100%">Bartłomiej Gardas</style></author><author><style face="normal" font="default" size="100%">Sebastian Deffner</style></author><author><style face="normal" font="default" size="100%">Krzysztof Domino</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Hybrid quantum-classical computation for automatic guided vehicles scheduling</style></title></titles><keywords/><dates><year><style face="normal" font="default" size="100%">2024</style></year><pub-dates><date><style face="normal" font="default" size="100%">09/2014</style></date></pub-dates></dates><secondary-title><style face="normal" font="default" size="100%">Scientific Reports</style></secondary-title><urls><style face="normal" font="default" size="100%">https://rdcu.be/dUkwi</style></urls><electronic-resource-num><style face="normal" font="default" size="100%">DOI: 10.1038/s41598-024-72101-y</style></electronic-resource-num><volume><style face="normal" font="default" size="100%">14</style></volume><section><style face="normal" font="default" size="100%">21809</style></section><abstract><style face="normal" font="default" size="100%">&lt;p&gt;Motivated by recent efforts to develop quantum computing for practical, industrial-scale challenges, we demonstrate the effectiveness of state-of-the-art hybrid (not necessarily quantum) solvers in addressing the business-centric optimization problem of scheduling Automatic Guided Vehicles (AGVs). Some solvers can already leverage noisy intermediate-scale quantum (NISQ) devices. In our study, we utilize D-Wave hybrid solvers that implement classical heuristics with potential assistance from a quantum processing unit. This hybrid methodology performs comparably to existing classical solvers. However, due to the proprietary nature of the software, the precise contribution of quantum computation remains unclear. Our analysis focuses on a practical, business-oriented scenario: scheduling AGVs within a factory constrained by limited space, simulating a realistic production setting. Our approach maps a realistic AGVs problem onto one reminiscent of railway scheduling and demonstrates that the AGVs problem is better suited to quantum computing than its railway counterpart, the latter being denser in terms of the average number of constraints per variable. The main idea here is to highlight the potential usefulness of a hybrid approach for handling AGVs scheduling problems of practical sizes. We show that a scenario involving up to 21 AGVs, significant due to possible deadlocks, can be efficiently addressed by a hybrid solver in seconds.&lt;/p&gt;&#13;
</style></abstract><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Mátyás Koniorczyk</style></author><author><style face="normal" font="default" size="100%">Krzysztof Krawiec</style></author><author><style face="normal" font="default" size="100%">Ludmila Botelho</style></author><author><style face="normal" font="default" size="100%">Nikola Bešinović</style></author><author><style face="normal" font="default" size="100%">Krzysztof Domino</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Solving rescheduling problems in heterogeneous urban railway networks using hybrid quantum-classical approach</style></title></titles><keywords/><dates><year><style face="normal" font="default" size="100%">2025</style></year><pub-dates><date><style face="normal" font="default" size="100%">05/2025</style></date></pub-dates></dates><secondary-title><style face="normal" font="default" size="100%"/></secondary-title><urls><style face="normal" font="default" size="100%">https://arxiv.org/abs/2309.06763</style></urls><electronic-resource-num><style face="normal" font="default" size="100%">https://doi.org/10.1016/j.jrtpm.2025.100521</style></electronic-resource-num><volume><style face="normal" font="default" size="100%">34</style></volume><issue><style face="normal" font="default" size="100%">100521</style></issue><abstract><style face="normal" font="default" size="100%">&lt;p&gt;We address the applicability of hybrid quantum-classical solvers for practical railway rescheduling management problems. We build an integer linear model for the given problem and solve it with D-Wave's quantum-classical hybrid solver as well as with CPLEX for comparison. The proposed approach is demonstrated on a real-life heterogeneous urban network in Poland, including both single- and double segments and covers all the requirements posed by the operator of the network. The computational results demonstrate the readiness for application and benefits of quantum-classical hybrid solvers in the a realistic railway scenario: they yield acceptable solutions on time, which is a critical requirement in a rescheduling situation. At the same time, the obtained solutions are feasible and in sometimes suboptimal. Moreover, though they are heuristics they offer a valid alternative and most importantly, outperform classical solvers in some cases.&lt;/p&gt;&#13;
</style></abstract><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Piotr Sionkowski</style></author><author><style face="normal" font="default" size="100%">Natalia Kruszewska</style></author><author><style face="normal" font="default" size="100%">Agnieszka Kreitschitz</style></author><author><style face="normal" font="default" size="100%">Stanislav Gorb</style></author><author><style face="normal" font="default" size="100%">Krzysztof Domino</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Application of Recurrence Plot Analysis to Examine Dynamics of Biological Molecules on the Example of Aggregation of Seed Mucilage Components</style></title></titles><keywords/><dates><year><style face="normal" font="default" size="100%">2024</style></year><pub-dates><date><style face="normal" font="default" size="100%">04/2024</style></date></pub-dates></dates><secondary-title><style face="normal" font="default" size="100%">Entropy</style></secondary-title><urls><style face="normal" font="default" size="100%">https://www.mdpi.com/1099-4300/26/5/380</style></urls><electronic-resource-num><style face="normal" font="default" size="100%">https://doi.org/10.3390/e26050380</style></electronic-resource-num><volume><style face="normal" font="default" size="100%">26</style></volume><section><style face="normal" font="default" size="100%">380</style></section><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Katarzyna Gawlak</style></author><author><style face="normal" font="default" size="100%">Jarosław Konieczny</style></author><author><style face="normal" font="default" size="100%">Krzysztof Domino</style></author><author><style face="normal" font="default" size="100%">Jaroslaw Miszczak</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Statistical analysis of geoinformation data for increasing railway safety</style></title></titles><keywords/><dates><year><style face="normal" font="default" size="100%">2025</style></year><pub-dates><date><style face="normal" font="default" size="100%">03/2025</style></date></pub-dates></dates><secondary-title><style face="normal" font="default" size="100%"/></secondary-title><urls><style face="normal" font="default" size="100%">https://arxiv.org/abs/2406.01083</style></urls><electronic-resource-num><style face="normal" font="default" size="100%">https://doi.org/10.1016/j.jrtpm.2025.100517</style></electronic-resource-num><volume><style face="normal" font="default" size="100%">34</style></volume><issue><style face="normal" font="default" size="100%">100517</style></issue><abstract><style face="normal" font="default" size="100%">&lt;p&gt;The impact of rail transport on the environment is one of the crucial factors for the sustainable development of this form of mass transport. We present a data-driven analysis of wild animal railway accidents in the region of southern Poland, a step to create the train driver warning system. We built our method by harnessing the Bayesian approach to the statistical analysis of information about the geolocation of the accidents. The implementation of the proposed a model does not require advanced knowledge of data mining and can be applied even in less developed railway systems with small IT support. Furthermore, we have discovered unusual patterns of accidents while considering the number of trains and their speed and time at particular geographical location of the railway network. We test the developed approach using data from southern Poland, compromising wildlife habitats and one of the most urbanised regions in Central Europe.&lt;/p&gt;&#13;
</style></abstract><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Krzysztof Domino</style></author><author><style face="normal" font="default" size="100%">Emery Doucet</style></author><author><style face="normal" font="default" size="100%">Reece Robertson</style></author><author><style face="normal" font="default" size="100%">Bartłomiej Gardas</style></author><author><style face="normal" font="default" size="100%">Sebastian Deffner</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">On the Baltimore Light RailLink into the quantum future</style></title></titles><keywords/><dates><year><style face="normal" font="default" size="100%">2025</style></year><pub-dates><date><style face="normal" font="default" size="100%">08/2025</style></date></pub-dates></dates><secondary-title><style face="normal" font="default" size="100%">Scientific Reports</style></secondary-title><electronic-resource-num><style face="normal" font="default" size="100%">10.1038/s41598-025-15545-0</style></electronic-resource-num><volume><style face="normal" font="default" size="100%">15</style></volume><issue><style face="normal" font="default" size="100%">29576</style></issue><abstract><style face="normal" font="default" size="100%">&lt;p&gt;In the current era of noisy intermediate-scale quantum (NISQ) technology, quantum devices present new avenues for addressing complex, real-world challenges including potentially NP-hard optimization problems. This work aims to showcase how the inherent noise in NISQ devices can be leveraged to solve such real-world problems effectively. Utilizing a D-Wave quantum annealer and IonQ's gate-based NISQ computers, we generate and analyze solutions for managing train traffic under stochastic disturbances. Our case study focuses on the Baltimore Light RailLink, which embodies the characteristics of both tramway and railway networks. We explore the feasibility of using NISQ technology to model the stochastic nature of disruptions in these transportation systems. Our research marks the inaugural application of both quantum computing paradigms to tramway and railway rescheduling, highlighting the potential of quantum noise as a beneficial resource in complex optimization scenarios.&lt;/p&gt;&#13;
</style></abstract><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Piotr Bełdowski</style></author><author><style face="normal" font="default" size="100%">Piotr Weber</style></author><author><style face="normal" font="default" size="100%">Adam Gadomski</style></author><author><style face="normal" font="default" size="100%">Piotr Sionkowski</style></author><author><style face="normal" font="default" size="100%">Natalia Kruszewska</style></author><author><style face="normal" font="default" size="100%">Krzysztof Domino</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Studies of the Interaction Dynamics in Albumin–Chondroitin Sulfate Systems by Recurrence Method</style></title></titles><keywords/><dates><year><style face="normal" font="default" size="100%">2024</style></year><pub-dates><date><style face="normal" font="default" size="100%">03/2024</style></date></pub-dates></dates><secondary-title><style face="normal" font="default" size="100%">The 16th International Conference "Dynamical Systems – Theory and Applications" (DSTA 2021)</style></secondary-title><urls><style face="normal" font="default" size="100%">https://link.springer.com/chapter/10.1007/978-3-031-56496-3_5</style></urls><electronic-resource-num><style face="normal" font="default" size="100%">doi.org/10.1007/978-3-031-56496-3_5</style></electronic-resource-num><abstract><style face="normal" font="default" size="100%">&lt;p&gt;The physicochemical basis of lubrication of articular cartilage is still not fully understood. However, the synergy between components of the synovial fluid can be a crucial factor that could explain this phenomenon. This work presents a nonlinear data analysis technique named the recurrence method, applied to the system involved two of such synovial fluid’s components: albumin and chondroitin sulfate (CS) immersed in a water environment. This analysis s performed in order to obtain the “statistical fingerprint” of the dynamics of the interaction between the molecules, and to answer whether the variables are more deterministic or more random. The system simulation has been prepared by molecular docking method followed by molecular dynamics simulations. The already mentioned recurrence method has been applied to time series of the energy of binding, and time series of number of intermolecular hydrogen bonds, as these features describe well binding between the two molecules. In detail, the time delay approach and embedded dimension approach have been applied to extract meaningful records from time series. Then, by means of recurrence plots and entropy approach, we discuss the similarities and differences between the molecular systems consisting of CS-4 and CS-6 molecules. Our main finding is higher affinity of chondroitin sulfate IV to albumin as compared with chondroitin sulfate VI.&lt;/p&gt;&#13;
</style></abstract><isbn><style face="normal" font="default" size="100%">978-3-031-56495-6</style></isbn><publisher><style face="normal" font="default" size="100%">Springer, Cham, Perspectives in Dynamical Systems II — Numerical and Analytical Approaches (DSTA 2021)</style></publisher><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Krzysztof Domino</style></author><author><style face="normal" font="default" size="100%">Arkadiusz Sochan</style></author><author><style face="normal" font="default" size="100%">Jaroslaw Miszczak</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Analytical assessment of workers' safety concerning direct and indirect ways of getting infected by dangerous pathogen</style></title></titles><keywords/><dates><year><style face="normal" font="default" size="100%">2025</style></year><pub-dates><date><style face="normal" font="default" size="100%">12/2024</style></date></pub-dates></dates><secondary-title><style face="normal" font="default" size="100%">Journal of Computational Science</style></secondary-title><urls><style face="normal" font="default" size="100%">https://doi.org/10.1016/j.jocs.2024.102509</style></urls><volume><style face="normal" font="default" size="100%">85</style></volume><issue><style face="normal" font="default" size="100%">102509</style></issue><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Reece Robertson</style></author><author><style face="normal" font="default" size="100%">Emery Doucet</style></author><author><style face="normal" font="default" size="100%">Zakaria Mzaouali</style></author><author><style face="normal" font="default" size="100%">Krzysztof Domino</style></author><author><style face="normal" font="default" size="100%">Bartłomiej Gardas</style></author><author><style face="normal" font="default" size="100%">Sebastian Deffner</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Simon's Period Finding on a Quantum Annealer</style></title></titles><keywords/><dates><year><style face="normal" font="default" size="100%">2025</style></year><pub-dates><date><style face="normal" font="default" size="100%">12/2025</style></date></pub-dates></dates><secondary-title><style face="normal" font="default" size="100%">2025 IEEE International Conference on Quantum Computing and Engineering (QCE)</style></secondary-title><urls><style face="normal" font="default" size="100%">https://ieeexplore.ieee.org/document/11250344</style></urls><electronic-resource-num><style face="normal" font="default" size="100%">10.1109/QCE65121.2025.00030</style></electronic-resource-num><publisher><style face="normal" font="default" size="100%">IEEE International Conference on Quantum Computing and Engineering (QCE25)</style></publisher><pub-location><style face="normal" font="default" size="100%">Albuquerque, USA</style></pub-location><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Monika Okoniewska</style></author><author><style face="normal" font="default" size="100%">Piotr Sionkowski</style></author><author><style face="normal" font="default" size="100%">Natalia Kruszewska</style></author><author><style face="normal" font="default" size="100%">Krzysztof Błażejczyk</style></author><author><style face="normal" font="default" size="100%">Krzysztof Domino</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">A Scalable and Automated Recurrence Plot Method for Detecting Climate Change: The Case of the UTCI Bioclimatic Index in Central Europe</style></title></titles><keywords/><dates><year><style face="normal" font="default" size="100%">2025</style></year><pub-dates><date><style face="normal" font="default" size="100%">08/2025</style></date></pub-dates></dates><secondary-title><style face="normal" font="default" size="100%">IEEE Transactions on Geoscience and Remote Sensing</style></secondary-title><urls><style face="normal" font="default" size="100%">https://ieeexplore.ieee.org/document/11121937</style></urls><electronic-resource-num><style face="normal" font="default" size="100%">10.1109/TGRS.2025.3597503</style></electronic-resource-num><volume><style face="normal" font="default" size="100%">63</style></volume><section><style face="normal" font="default" size="100%">1</style></section><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Ewa Kędziera</style></author><author><style face="normal" font="default" size="100%">Wojciech Gamon</style></author><author><style face="normal" font="default" size="100%">Mátyás Koniorczyk</style></author><author><style face="normal" font="default" size="100%">Zakaria Mzaouali</style></author><author><style face="normal" font="default" size="100%">Andrea Galadíková</style></author><author><style face="normal" font="default" size="100%">Krzysztof Domino</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">EMU circulation planning for Silesian Railways: case study and a quantum approach</style></title></titles><keywords/><dates/><secondary-title><style face="normal" font="default" size="100%">arxiv preprint</style></secondary-title><electronic-resource-num><style face="normal" font="default" size="100%"> https://doi.org/10.48550/arXiv.2512.19340</style></electronic-resource-num><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Emery Doucet</style></author><author><style face="normal" font="default" size="100%">Zakaria Mzaouali</style></author><author><style face="normal" font="default" size="100%">Reece Robertson</style></author><author><style face="normal" font="default" size="100%">Bartłomiej Gardas</style></author><author><style face="normal" font="default" size="100%">Sebastian Deffner</style></author><author><style face="normal" font="default" size="100%">Krzysztof Domino</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Thermodynamic significance of QUBO encoding on quantum annealers</style></title></titles><keywords/><dates><year><style face="normal" font="default" size="100%">2026</style></year><pub-dates><date><style face="normal" font="default" size="100%">05/2026</style></date></pub-dates></dates><secondary-title><style face="normal" font="default" size="100%">New Journal of Physics</style></secondary-title><electronic-resource-num><style face="normal" font="default" size="100%">https://doi.org/10.1088/1367-2630/ae6e98</style></electronic-resource-num><pages><style face="normal" font="default" size="100%">054512</style></pages><issue><style face="normal" font="default" size="100%">28 </style></issue><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Krzysztof Domino</style></author><author><style face="normal" font="default" size="100%">Wojciech Gamon</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Od Baltimore do Śląska: komputery kwantowe i hybrydowe metody optymalizacji w planowaniu transportu szynowego </style></title></titles><keywords><keyword><style face="normal" font="default" size="100%">transport szynowy</style></keyword><keyword><style face="normal" font="default" size="100%">obliczenia kwantowe</style></keyword><keyword><style face="normal" font="default" size="100%">optymalizacja</style></keyword></keywords><dates><year><style face="normal" font="default" size="100%">2025</style></year></dates><secondary-title><style face="normal" font="default" size="100%">Transport Miejski i Regionalny</style></secondary-title><urls><style face="normal" font="default" size="100%">https://tmir.sitk.org.pl/nr-8-2025-r/</style></urls><keyword><style face="normal" font="default" size="100%"/></keyword><volume><style face="normal" font="default" size="100%">08 2025</style></volume><section><style face="normal" font="default" size="100%">10</style></section></record><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Dariusz Pojda</style></author><author><style face="normal" font="default" size="100%">Krzysztof Domino</style></author><author><style face="normal" font="default" size="100%">Michał Tarnawski</style></author><author><style face="normal" font="default" size="100%">Agnieszka Anna Tomaka</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Transformation-driven generation of comparable projection images from multimodal anatomical scenes</style></title></titles><keywords/><dates><year><style face="normal" font="default" size="100%">2026</style></year></dates><secondary-title><style face="normal" font="default" size="100%">Journal of Computational Science (preprint available on arXiv)</style></secondary-title><urls><style face="normal" font="default" size="100%">http://arxiv.org/abs/2606.16573</style></urls><electronic-resource-num><style face="normal" font="default" size="100%">10.48550/arXiv.2606.16573</style></electronic-resource-num><abstract><style face="normal" font="default" size="100%">This work addresses the computational problem of generating reproducible projection-space observations from heterogeneous anatomical scenes whose components may undergo independent spatial transformations. We propose a transformation-driven framework for synthetic projection imaging from multimodal anatomical data and demonstrate it on mandibular-motion scenarios.&#13;
In contrast to conventional Digitally Reconstructed Radiograph (DRR) approaches primarily designed for registration, projection realism, or rendering efficiency, the proposed formulation treats projection imaging as an observation process operating on an explicitly represented anatomical scene.&#13;
Independently transformable volumetric and surface-based anatomical objects are embedded within a shared scene representation and propagated directly into projection space through explicit transformations. Projection geometry, acquisition modelling, material interpretation, and image presentation remain explicitly separated, enabling controlled exploration of methodological assumptions while preserving reproducibility and direct comparability between generated projections.&#13;
Particular emphasis is placed on transformation-driven anatomical scenarios relevant to craniofacial analysis, including mandibular motion and therapeutic repositioning. Using a shared anatomical reference scene composed of CT/CBCT volumes, segmented structures, surface models, and auxiliary anatomical or therapeutic objects, the framework enables generation of directly comparable VirtualRTG projections from multiple anatomical configurations while preserving identical imaging assumptions.&#13;
Rather than aiming at fully physically faithful radiographic simulation, the proposed approach provides a controllable and reproducible methodological environment for studying anatomy--projection relationships, motion observability, and transformation-aware imaging workflows.&#13;
</style></abstract></record><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">A. Augustyn</style></author><author><style face="normal" font="default" size="100%">Przemysław Kowalski</style></author><author><style face="normal" font="default" size="100%">Leszek Luchowski</style></author><author><style face="normal" font="default" size="100%">Dariusz Pojda</style></author><author><style face="normal" font="default" size="100%">Krzysztof Skabek</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">System for toolmark analysis in forensic laboratory</style></title></titles><keywords/><dates><year><style face="normal" font="default" size="100%">2002</style></year></dates><secondary-title><style face="normal" font="default" size="100%">Archiwum Informatyki Teoretycznej i Stosowanej</style></secondary-title><pages><style face="normal" font="default" size="100%">3–16</style></pages><volume><style face="normal" font="default" size="100%">14</style></volume><number><style face="normal" font="default" size="100%">1</style></number><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">A. Augustyn</style></author><author><style face="normal" font="default" size="100%">Przemysław Kowalski</style></author><author><style face="normal" font="default" size="100%">Leszek Luchowski</style></author><author><style face="normal" font="default" size="100%">Dariusz Pojda</style></author><author><style face="normal" font="default" size="100%">Krzysztof Skabek</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Computer-assisted analysis of striated toolmarks and impressions</style></title></titles><keywords/><dates><year><style face="normal" font="default" size="100%">2000</style></year></dates><secondary-title><style face="normal" font="default" size="100%">Second European Academy of Forensic Science Meeting</style></secondary-title><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Przemysław Kowalski</style></author><author><style face="normal" font="default" size="100%">Dariusz Pojda</style></author><author><style face="normal" font="default" size="100%">Aleksandra Gruca</style></author><author><style face="normal" font="default" size="100%">Tadeusz Czachórski</style></author><author><style face="normal" font="default" size="100%">Stanisław Kozielski</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Visualization of heterogenic images of 3D scene</style></title></titles><keywords/><dates><year><style face="normal" font="default" size="100%">2014</style></year></dates><secondary-title><style face="normal" font="default" size="100%">Man-Machine Interacions 3</style></secondary-title><electronic-resource-num><style face="normal" font="default" size="100%">10.1007/978-3-319-02309-0_31</style></electronic-resource-num><pages><style face="normal" font="default" size="100%">291–297</style></pages><abstract><style face="normal" font="default" size="100%">&lt;p&gt;The article presents a problem of 3D and 2D heterogenic data visualization. The data come from different devices installed on the robot platform. The data include 3D point cloud, 2D images, 3D and 2D occupancy grids, obtained from laser scanning device, stereocameras and calculated using data from laser 3D scanner.&lt;/p&gt;&#13;
</style></abstract><publisher><style face="normal" font="default" size="100%">Silesian University of Technology, Gliwice, Institute of Theoretical and Applied Informatics, Polish Academy of Science, Gliwice</style></publisher><language><style face="normal" font="default" size="100%">eng</style></language><notes><style face="normal" font="default" size="100%">ICMMI 2013 International Conference on Man-Machine Interactions Brenna, October 22-25, 2013</style></notes></record><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Leszek Luchowski</style></author><author><style face="normal" font="default" size="100%">Przemysław Kowalski</style></author><author><style face="normal" font="default" size="100%">Agnieszka Anna Tomaka</style></author><author><style face="normal" font="default" size="100%">Maciej Philipp</style></author><author><style face="normal" font="default" size="100%">Dariusz Pojda</style></author><author><style face="normal" font="default" size="100%">Krzysztof Skabek</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Mobile Stereovision Strategies</style></title></titles><keywords/><dates><year><style face="normal" font="default" size="100%">1999</style></year><pub-dates><date><style face="normal" font="default" size="100%">X</style></date></pub-dates></dates><secondary-title><style face="normal" font="default" size="100%">II Krajowa Konferencja ,,Metody i systemy komputerowe w badaniach naukowych i projektowaniu inżynierskim”</style></secondary-title><pages><style face="normal" font="default" size="100%">531–536</style></pages><pub-location><style face="normal" font="default" size="100%">Kraków</style></pub-location><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Dariusz Pojda</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Calculating the position of the observer in 3D using 2D images for the interactive presentation of virtual objects</style></title></titles><keywords/><dates><year><style face="normal" font="default" size="100%">2010</style></year></dates><secondary-title><style face="normal" font="default" size="100%">Theoretical and Applied Informatics</style></secondary-title><pages><style face="normal" font="default" size="100%">177–186</style></pages><volume><style face="normal" font="default" size="100%">22</style></volume><number><style face="normal" font="default" size="100%">3</style></number><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Dariusz Pojda</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">System of computer aiding diagnostic of Squint with applying analysis of the signal of the move of the eye</style></title></titles><keywords/><dates><year><style face="normal" font="default" size="100%">2008</style></year></dates><secondary-title><style face="normal" font="default" size="100%">Theoretical and Applied Informatics</style></secondary-title><pages><style face="normal" font="default" size="100%">3–14</style></pages><volume><style face="normal" font="default" size="100%">20</style></volume><number><style face="normal" font="default" size="100%">1</style></number><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Dariusz Pojda</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Zastosowanie systemu OBER2 w diagnostyce zeza</style></title></titles><keywords/><dates><year><style face="normal" font="default" size="100%">2000</style></year></dates><secondary-title><style face="normal" font="default" size="100%">Journal of Medical Informatics and Technologies vol 5</style></secondary-title><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Dariusz Pojda</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Segmentacja i pasowanie obrazów 2D dla potrzeb aktywnego stereowidzenia</style></title></titles><keywords/><dates><year><style face="normal" font="default" size="100%">1999</style></year></dates><pages><style face="normal" font="default" size="100%">81–84</style></pages><abstract><style face="normal" font="default" size="100%">W referacie przedstawiono metodę segmentacji i pasowania par obrazów stereo. Metoda ta została opracowana w wyniku prac prowadzonych w ramach projektu badawczego dotyczącego automatycznego rozpoznawania struktury trójwymiarowej sceny. Scena zbudowana jest z brył wielościennych i obserwowznz za pomocą ruchomej głowicy stereowizyjnej. Głównym celem projektu było rozpoznawanie obserwowanych brył geometrycznych oraz określanie ich wzajemnego położenia na scenie.</style></abstract><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Dariusz Pojda</style></author><author><style face="normal" font="default" size="100%">Przemysław Kowalski</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Assumptions for a software tool to support the diagnosis of the stomatognathic system: data gathering, visualizing compund models and their motion</style></title></titles><keywords/><dates><year><style face="normal" font="default" size="100%">2014</style></year><pub-dates><date><style face="normal" font="default" size="100%">3</style></date></pub-dates></dates><secondary-title><style face="normal" font="default" size="100%">Novel Methodology of Both diagnosis and Therapy of Bruxism</style></secondary-title><pages><style face="normal" font="default" size="100%">51–56</style></pages><abstract><style face="normal" font="default" size="100%">&lt;p&gt;The amount of measurement data collected in medical diagnostics makes their storage and handling an important issue. Also, the requirements for the visualization of such data, and for merging information from different sources of measurement, are growing. In the case of diagnosis of stomatognathic system we have to deal with various methods of medical imaging, such as CT, 3D scans, impressions of teeth, facial scans, and various types of reconstructions resulting from processing of measurement data. In the research project dedicated to the diagnosis of bruxism, we encounter records of measurements of Holter monitoring. We present a web application designed to collect the measurement data acquired in the project. In the first version, this tool has been prepared to store EKG files. We are planning further extension of the capabilities of the database to collect 3D scans, volumetric data and surfaces which are reconstructed from computed tomography. We also present assumptions for the user interface to the desktop application to assist the diagnosis. The application will allow to carry out morphometric measurements, the integration of multimodal imaging data, visualization of mandible movement in TMJ, occlusion detection and motion simulation of the mandible, and also the design of dental guard.&lt;/p&gt;&#13;
</style></abstract><publisher><style face="normal" font="default" size="100%">International Centre of Biocybernetics Polish Academy of Sciences</style></publisher><language><style face="normal" font="default" size="100%">eng</style></language><notes><style face="normal" font="default" size="100%">The 137th Seminar of the International Centre of biocybernetics</style></notes></record><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Dariusz Pojda</style></author><author><style face="normal" font="default" size="100%">Przemysław Kowalski</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Programowe platformy dla zagadnień wizji komputerowej</style></title></titles><keywords/><dates><year><style face="normal" font="default" size="100%">1999</style></year></dates><secondary-title><style face="normal" font="default" size="100%">Zeszyty Naukowe Politechniki Śląskiej, Seria: Informatyka</style></secondary-title><pages><style face="normal" font="default" size="100%">57–81</style></pages><volume><style face="normal" font="default" size="100%">37</style></volume><number><style face="normal" font="default" size="100%">1421</style></number><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Dariusz Pojda</style></author><author><style face="normal" font="default" size="100%">Przemysław Kowalski</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Kryteria pasowania punktów charaktery-stycznych w stereowizji</style></title></titles><keywords/><dates><year><style face="normal" font="default" size="100%">1998</style></year></dates><secondary-title><style face="normal" font="default" size="100%">Zeszyty Naukowe Politechniki Śląskiej, Seria: Informatyka</style></secondary-title><pages><style face="normal" font="default" size="100%">209–223</style></pages><volume><style face="normal" font="default" size="100%">35</style></volume><number><style face="normal" font="default" size="100%">1402</style></number><abstract><style face="normal" font="default" size="100%">Istotnym problemem, występującym w zagadnieniu stereowidzenia, z wykorzystaniem obrazu z dwu kamer, jest pasowanie punktów charakterystycznych. W artykule przedstawiamy zestaw pięciu testów, służących do pasowania punktów. Jest to test jasnościowy, dokonujący właściwego pasowania, oraz cztery testy geometryczne, dokonujące weryfikacji poprawności spasowania par punktów.</style></abstract><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Dariusz Pojda</style></author><author><style face="normal" font="default" size="100%">Józef Ober</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Model of the oculomotoric system for diagnosis of Squint</style></title></titles><keywords/><dates><year><style face="normal" font="default" size="100%">2006</style></year><pub-dates><date><style face="normal" font="default" size="100%">9</style></date></pub-dates></dates><secondary-title><style face="normal" font="default" size="100%"/></secondary-title><pages><style face="normal" font="default" size="100%">193–198</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><notes><style face="normal" font="default" size="100%">MIT 2006 Wisła-Malinka, September 25-27</style></notes></record><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Dariusz Pojda</style></author><author><style face="normal" font="default" size="100%">Józef Ober</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Model of the oculomotoric system for diagnosis of Squint</style></title></titles><keywords/><dates><year><style face="normal" font="default" size="100%">2004</style></year></dates><secondary-title><style face="normal" font="default" size="100%">International Workshop on Biometric Technologies: Special Forum on Modeling and Simulation</style></secondary-title><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Dariusz Pojda</style></author><author><style face="normal" font="default" size="100%">Józef Ober</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Multilayer model of the oculomothoric system for computer based diagnosis of squint</style></title></titles><keywords/><dates><year><style face="normal" font="default" size="100%">2003</style></year></dates><secondary-title><style face="normal" font="default" size="100%"/></secondary-title><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Krzysztof Skabek</style></author><author><style face="normal" font="default" size="100%">Dariusz Pojda</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Optimization of Mesh Representation for Progressive Transmission</style></title></titles><keywords/><dates><year><style face="normal" font="default" size="100%">2011</style></year></dates><secondary-title><style face="normal" font="default" size="100%">Theoretical and Applied Informatics</style></secondary-title><pages><style face="normal" font="default" size="100%">263–275</style></pages><volume><style face="normal" font="default" size="100%">23</style></volume><number><style face="normal" font="default" size="100%">3-4</style></number><abstract><style face="normal" font="default" size="100%">Abstract: The paper presents the implementation of methods for progressive mesh encoding. The described implementation is a modification of the software published in 2008 by Zhao He, which is based on studies by Michael Garland and Hugues Hoppe. We focused on improving the performance of the software. In particular we modified the data structures to ensure their better indexing, which significantly improved the computational complexity of the algorithm. We also implemented the support for simplified meshes with textures. The authors present the comparison of the performance of these methods in relation to the original He Zhao’s algorithm. The performance of progressive mesh encoding in our implementation was significantly improved.</style></abstract><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Krzysztof Skabek</style></author><author><style face="normal" font="default" size="100%">Dariusz Pojda</style></author><author><style face="normal" font="default" size="100%">Ryszard Winiarczyk</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Progressive reduction of meshes with arbitrary selected points</style></title></titles><keywords/><dates><year><style face="normal" font="default" size="100%">2016</style></year></dates><secondary-title><style face="normal" font="default" size="100%">Man-Machine Interactions 4</style></secondary-title><pages><style face="normal" font="default" size="100%">525–533</style></pages><abstract><style face="normal" font="default" size="100%">&lt;p&gt;The usage of progressive meshes for representation and transmission of triangular meshes of faces at certain level of details was described in the paper. We focused on progressive representation based on Garland and Hoppe approach. The comparison of simple methods using quadric mesh simplification to the view-dependent implementation of progressive methods was performed. The mesh simplification is further improved by introducing the characteristic points fixing the distinguishable points on human face. The test and discussion of the implemented method were given using face scans from 3dMD face scanner.&lt;/p&gt;&#13;
</style></abstract><publisher><style face="normal" font="default" size="100%">Springer International Publishing Switzerland</style></publisher><language><style face="normal" font="default" size="100%">eng</style></language><notes><style face="normal" font="default" size="100%">4th International Conference on Man-Machine interactions, ICMMI 2015 Kocierz Pass, Poland, October 6-9, 2015</style></notes></record><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>5</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Agnieszka Anna Tomaka</style></author><author><style face="normal" font="default" size="100%">Michał Tarnawski</style></author><author><style face="normal" font="default" size="100%">Dariusz Pojda</style></author><author><style face="normal" font="default" size="100%">Ewa Piętka</style></author><author><style face="normal" font="default" size="100%">Pawel Badura</style></author><author><style face="normal" font="default" size="100%">Jacek Kawa</style></author><author><style face="normal" font="default" size="100%">Wojciech Wieclawek</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Multimodal Image Registration for Mandible Motion Tracking</style></title></titles><keywords/><dates><year><style face="normal" font="default" size="100%">2016</style></year></dates><secondary-title><style face="normal" font="default" size="100%">Information Technologies in Medicine: 5th International Conference, ITIB 2016 Kamień Śląski, Poland, June 20 - 22, 2016 Proceedings, Volume 1</style></secondary-title><urls><style face="normal" font="default" size="100%">http://dx.doi.org/10.1007/978-3-319-39796-2_15</style></urls><electronic-resource-num><style face="normal" font="default" size="100%">10.1007/978-3-319-39796-2_15</style></electronic-resource-num><pages><style face="normal" font="default" size="100%">179–191</style></pages><isbn><style face="normal" font="default" size="100%">978-3-319-39796-2</style></isbn><publisher><style face="normal" font="default" size="100%">Springer International Publishing</style></publisher><pub-location><style face="normal" font="default" size="100%">Cham</style></pub-location><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>5</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Dariusz Pojda</style></author><author><style face="normal" font="default" size="100%">Agnieszka Anna Tomaka</style></author><author><style face="normal" font="default" size="100%">Leszek Luchowski</style></author><author><style face="normal" font="default" size="100%">Krzysztof Skabek</style></author><author><style face="normal" font="default" size="100%">Michał Tarnawski</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Applying computational geometry to designing an occlusal splint</style></title></titles><keywords/><dates><year><style face="normal" font="default" size="100%">2019</style></year><pub-dates><date><style face="normal" font="default" size="100%">05/2019</style></date></pub-dates></dates><secondary-title><style face="normal" font="default" size="100%">Computational Modeling of Objects Presented in Images. Fundamentals, Methods, and Applications. CompIMAGE 2018. Lecture Notes in Computer Science</style></secondary-title><electronic-resource-num><style face="normal" font="default" size="100%">10.1007/978-3-030-20805-9_16</style></electronic-resource-num><volume><style face="normal" font="default" size="100%">vol 10986</style></volume><publisher><style face="normal" font="default" size="100%">Springer International Publishing</style></publisher><pub-location><style face="normal" font="default" size="100%">Cham</style></pub-location><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Agnieszka Anna Tomaka</style></author><author><style face="normal" font="default" size="100%">Dariusz Pojda</style></author><author><style face="normal" font="default" size="100%">Leszek Luchowski</style></author><author><style face="normal" font="default" size="100%">Michał Tarnawski</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Methods of Tooth Equator Estimation</style></title></titles><keywords/><dates><year><style face="normal" font="default" size="100%">2018</style></year></dates><secondary-title><style face="normal" font="default" size="100%">Computer and Information Sciences</style></secondary-title><abstract><style face="normal" font="default" size="100%">&lt;p&gt;Full automation of the designing process of an occlusal splint requires an algorithm to determine the boundary of the splint. For this purpose, the idea of tooth equator is frequently used. The task is to find the approximate level where the teeth are widest, and then cut off the shape of the splint there. The article presents methods for automatic estimation of the tooth equator, used to determine the splint boundary.&lt;/p&gt;&#13;
</style></abstract><isbn><style face="normal" font="default" size="100%">978-3-030-00840-6</style></isbn><publisher><style face="normal" font="default" size="100%">Springer International Publishing</style></publisher><pub-location><style face="normal" font="default" size="100%">Cham</style></pub-location><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>5</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Agnieszka Anna Tomaka</style></author><author><style face="normal" font="default" size="100%">Leszek Luchowski</style></author><author><style face="normal" font="default" size="100%">Dariusz Pojda</style></author><author><style face="normal" font="default" size="100%">Michał Tarnawski</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Dynamic Occlusion Surface Estimation from 4D Multimodal Data</style></title></titles><keywords/><dates><year><style face="normal" font="default" size="100%">2019</style></year></dates><secondary-title><style face="normal" font="default" size="100%"> Information Technology in Biomedicine. ITIB 2019. Advances in Intelligent Systems and Computing</style></secondary-title><tertiary-title><style face="normal" font="default" size="100%">Advances in Intelligent Systems and Computing</style></tertiary-title><electronic-resource-num><style face="normal" font="default" size="100%">10.1007/978-3-030-23762-2_26</style></electronic-resource-num><volume><style face="normal" font="default" size="100%">vol 1011</style></volume><abstract><style face="normal" font="default" size="100%">&lt;p&gt;Methods are described of determining the dynamic occlusion surface based on dynamic sequences of mandibular motion, acquired with a dynamic scanner, and measurements acquired with the Zebris axiograph. The Zebris data is brought into register with multimodal imagery, using three corresponding transformations. This registration allows dense motion sequences to be simulated, which in turn allows occlusal conditions to be known at various stages of movement and the dynamic occlusal surface to be identified for the purposes of occlusal splint design.&lt;/p&gt;&#13;
</style></abstract><isbn><style face="normal" font="default" size="100%">978-3-030-23761-5</style></isbn><publisher><style face="normal" font="default" size="100%">Springer International Publishing</style></publisher><pub-location><style face="normal" font="default" size="100%">Cham</style></pub-location><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Agnieszka Anna Tomaka</style></author><author><style face="normal" font="default" size="100%">Leszek Luchowski</style></author><author><style face="normal" font="default" size="100%">Dariusz Pojda</style></author><author><style face="normal" font="default" size="100%">Krzysztof Skabek</style></author><author><style face="normal" font="default" size="100%">Michał Tarnawski</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Applying computational geometry to designing an occlusal splint</style></title></titles><keywords/><dates><year><style face="normal" font="default" size="100%">2019</style></year><pub-dates><date><style face="normal" font="default" size="100%">10/2019</style></date></pub-dates></dates><secondary-title><style face="normal" font="default" size="100%"/></secondary-title><urls><style face="normal" font="default" size="100%">https://www.tandfonline.com/doi/abs/10.1080/21681163.2019.1670096</style></urls><electronic-resource-num><style face="normal" font="default" size="100%">10.1080/21681163.2019.1670096</style></electronic-resource-num><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>5</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Leszek Luchowski</style></author><author><style face="normal" font="default" size="100%">Agnieszka Anna Tomaka</style></author><author><style face="normal" font="default" size="100%">Dariusz Pojda</style></author><author><style face="normal" font="default" size="100%">Michał Tarnawski</style></author><author><style face="normal" font="default" size="100%">Krzysztof Skabek</style></author><author><style face="normal" font="default" size="100%">Przemysław Kowalski</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Skanery3D - trójwymiarowe obrazowanie powierzchni</style></title></titles><keywords/><dates><year><style face="normal" font="default" size="100%">2020</style></year></dates><secondary-title><style face="normal" font="default" size="100%">Inżynieria Biomedyczna - podstawy i zastosowania; Tom 8 - Obrazowanie Biomedyczne</style></secondary-title><section><style face="normal" font="default" size="100%">2.6</style></section><publisher><style face="normal" font="default" size="100%">AOW EXIT</style></publisher><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>5</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Agnieszka Anna Tomaka</style></author><author><style face="normal" font="default" size="100%">Michał Tarnawski</style></author><author><style face="normal" font="default" size="100%">Leszek Luchowski</style></author><author><style face="normal" font="default" size="100%">Bartosz Cerkaski</style></author><author><style face="normal" font="default" size="100%">Dariusz Pojda</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Integracja obrazowania wielomodalnego w zastosowaniu do wspomagania diagnostyki stomatologicznej, planowania i oceny wyników leczenia</style></title></titles><keywords/><dates><year><style face="normal" font="default" size="100%">2020</style></year></dates><secondary-title><style face="normal" font="default" size="100%">Inżynieria Biomedyczna - podstawy i zastosowania; Tom 8 - Obrazowanie Biomedyczne</style></secondary-title><section><style face="normal" font="default" size="100%">2.7</style></section><publisher><style face="normal" font="default" size="100%">AOW EXIT</style></publisher><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Leszek Luchowski</style></author><author><style face="normal" font="default" size="100%">Agnieszka Anna Tomaka</style></author><author><style face="normal" font="default" size="100%">Dariusz Pojda</style></author><author><style face="normal" font="default" size="100%">Krzysztof Skabek</style></author><author><style face="normal" font="default" size="100%">Przemysław Kowalski</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Multimodal imagery in forensic incident scene documentation</style></title></titles><keywords/><dates><year><style face="normal" font="default" size="100%">2021</style></year><pub-dates><date><style face="normal" font="default" size="100%">02/2021</style></date></pub-dates></dates><secondary-title><style face="normal" font="default" size="100%">Sensors</style></secondary-title><urls><style face="normal" font="default" size="100%">https://www.mdpi.com/1424-8220/21/4/1407</style></urls><electronic-resource-num><style face="normal" font="default" size="100%">10.3390/s21041407</style></electronic-resource-num><volume><style face="normal" font="default" size="100%">21</style></volume><issue><style face="normal" font="default" size="100%">4</style></issue><section><style face="normal" font="default" size="100%">1407</style></section><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Dariusz Pojda</style></author><author><style face="normal" font="default" size="100%">Agnieszka Anna Tomaka</style></author><author><style face="normal" font="default" size="100%">Leszek Luchowski</style></author><author><style face="normal" font="default" size="100%">Michał Tarnawski</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Integration and application of multimodal measurement techniques: relevance of photogrammetry to orthodontics</style></title></titles><keywords/><dates><year><style face="normal" font="default" size="100%">2021</style></year><pub-dates><date><style face="normal" font="default" size="100%">12/2021</style></date></pub-dates></dates><secondary-title><style face="normal" font="default" size="100%">Sensors</style></secondary-title><urls><style face="normal" font="default" size="100%">https://www.mdpi.com/1424-8220/21/23/8026</style></urls><electronic-resource-num><style face="normal" font="default" size="100%">10.3390/s21238026</style></electronic-resource-num><volume><style face="normal" font="default" size="100%">21</style></volume><issue><style face="normal" font="default" size="100%">23</style></issue><section><style face="normal" font="default" size="100%">8026</style></section><abstract><style face="normal" font="default" size="100%">&lt;p&gt;Multimodal imaging, including 3D modalities, is increasingly being applied in orthodontics, both as a diagnostic tool and especially for the design of intraoral appliances, where geometric accuracy is very important. Laser scanners and other precision 3D imaging devices are expensive and cumbersome, which limits their use in medical practice. Photogrammetry, using ordinary 2D photographs or video recordings to create 3D imagery, offers a cheaper and more convenient alternative, replacing&#160; the specialised equipment with handy consumer cameras. The present paper addresses the question to what extent, and under what conditions, this technique can be an adequate replacement for the 3D scanner. The accuracy of simple surface reconstruction and of model embedding achieved with photogrammetry was verified against that obtained with a triangulating laser scanner.&lt;/p&gt;&#13;
&#13;
&lt;p&gt;To roughly evaluate the impact of image imperfections on photogrammetric reconstruction, the photographs for photogrammetry were taken under various lighting conditions and used either raw or with a blur simulating defocus. Video footage was also tested as another 2D imaging modality feeding data into photogrammetry. Results show significant potential of photogrammetric techniques.&lt;/p&gt;&#13;
</style></abstract><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Dariusz Pojda</style></author><author><style face="normal" font="default" size="100%">Mateusz Żarski</style></author><author><style face="normal" font="default" size="100%">Agnieszka Anna Tomaka</style></author><author><style face="normal" font="default" size="100%">Leszek Luchowski</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">dpVision: environment for multimodal images</style></title></titles><keywords/><dates><year><style face="normal" font="default" size="100%">2025</style></year><pub-dates><date><style face="normal" font="default" size="100%">02/2025</style></date></pub-dates></dates><secondary-title><style face="normal" font="default" size="100%">SoftwareX</style></secondary-title><urls><style face="normal" font="default" size="100%">http://dx.doi.org/10.1016/j.softx.2025.102093</style></urls><electronic-resource-num><style face="normal" font="default" size="100%">10.1016/j.softx.2025.102093</style></electronic-resource-num><volume><style face="normal" font="default" size="100%">30</style></volume><issue><style face="normal" font="default" size="100%">102093</style></issue><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Agnieszka Anna Tomaka</style></author><author><style face="normal" font="default" size="100%">Dariusz Pojda</style></author><author><style face="normal" font="default" size="100%">Michał Tarnawski</style></author><author><style face="normal" font="default" size="100%">Leszek Luchowski</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Transformation trees – documentation of multimodal image registration</style></title></titles><keywords/><dates><year><style face="normal" font="default" size="100%">2025</style></year><pub-dates><date><style face="normal" font="default" size="100%">05/2025</style></date></pub-dates></dates><secondary-title><style face="normal" font="default" size="100%">Computers in Biology and Medicine</style></secondary-title><urls><style face="normal" font="default" size="100%">https://doi.org/10.1016/j.compbiomed.2025.110311</style></urls><electronic-resource-num><style face="normal" font="default" size="100%">10.1016/j.compbiomed.2025.110311</style></electronic-resource-num><volume><style face="normal" font="default" size="100%">193</style></volume><issue><style face="normal" font="default" size="100%">110311</style></issue><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Leszek Luchowski</style></author><author><style face="normal" font="default" size="100%">Dariusz Pojda</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Visualization of a multidimensional point cloud as a 3D swarm of avatars</style></title></titles><keywords/><dates><year><style face="normal" font="default" size="100%">2025</style></year><pub-dates><date><style face="normal" font="default" size="100%">06/2025</style></date></pub-dates></dates><secondary-title><style face="normal" font="default" size="100%">Applied Sciences</style></secondary-title><urls><style face="normal" font="default" size="100%">https://www.mdpi.com/2076-3417/15/13/7209</style></urls><electronic-resource-num><style face="normal" font="default" size="100%">10.3390/app15137209</style></electronic-resource-num><volume><style face="normal" font="default" size="100%">15</style></volume><issue><style face="normal" font="default" size="100%">7209</style></issue><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Agnieszka Anna Tomaka</style></author><author><style face="normal" font="default" size="100%">Leszek Luchowski</style></author><author><style face="normal" font="default" size="100%">Michał Tarnawski</style></author><author><style face="normal" font="default" size="100%">Dariusz Pojda</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Computer-Aided Design of Personalized Occlusal Positioning Splints Using Multimodal 3D Data</style></title></titles><keywords/><dates><year><style face="normal" font="default" size="100%">2025</style></year><pub-dates><date><style face="normal" font="default" size="100%">10/2025</style></date></pub-dates></dates><secondary-title><style face="normal" font="default" size="100%">Computer Vision and Image Understanding</style></secondary-title><urls><style face="normal" font="default" size="100%">https://doi.org/10.1016/j.cviu.2025.104527</style></urls><electronic-resource-num><style face="normal" font="default" size="100%">10.1016/j.cviu.2025.104527</style></electronic-resource-num><volume><style face="normal" font="default" size="100%">262C</style></volume><issue><style face="normal" font="default" size="100%">104527</style></issue><abstract><style face="normal" font="default" size="100%">&lt;p&gt;Digital technology plays a crucial role in designing customized medical devices, such as occlusal splints, commonly used in the management of disorders of the stomatognathic system. This methodological proof-of-concept study presents a computer-aided approach for designing and evaluating occlusal positioning splints. The primary aim is to demonstrate the feasibility and geometric accuracy of the proposed method at the preclinical stage. In this approach, a three-dimensional splint is generated using a transformation matrix to represent the therapeutic mandibular position. An experienced operator defines this position using a virtual patient model reconstructed from intraoral scans, CBCT, 3D facial scans, and a digitized plaster model. We introduce a novel method for generating splints that reproduces occlusal conditions in the therapeutic position and resolves surface conflicts through virtual embossing. The process for obtaining transformation matrices using dental tools and intraoral devices commonly employed in dental and laboratory workflows is described, and the geometric accuracy of both designed and printed splints is evaluated using profile and surface deviation analysis. The method supports reproducible, patient-specific splint fabrication and provides a transparent foundation for future validation studies, supporting multimodal image registration and quantification of occlusal discrepancies in research settings.&lt;/p&gt;&#13;
</style></abstract><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Wojciech Macek</style></author><author><style face="normal" font="default" size="100%">Mariusz Deja</style></author><author><style face="normal" font="default" size="100%">Dariusz Pojda</style></author><author><style face="normal" font="default" size="100%">Mateusz Korpyś</style></author><author><style face="normal" font="default" size="100%">Cho-Pei Jiang</style></author><author><style face="normal" font="default" size="100%">Grzegorz Lesiuk</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Quantitative Techniques for Assessing Fatigue Damage After Failure</style></title></titles><keywords/><dates><year><style face="normal" font="default" size="100%">2025</style></year><pub-dates><date><style face="normal" font="default" size="100%">09.2025</style></date></pub-dates></dates><secondary-title><style face="normal" font="default" size="100%">Book of Abstracts of the 3rd International Symposium on Risk Analysis and Safety of Complex Structures (September 11–12, 2025 in Wrocław, Poland)</style></secondary-title><urls><style face="normal" font="default" size="100%">https://iras2025.pwr.edu.pl/publication/macek-2025/</style></urls><abstract><style face="normal" font="default" size="100%">&lt;p&gt;A significant quantity of the fatigue life studies and a considerable number of fracture investigations have been carried out to measure changes associated with the damage process. However, there are cur-rently no set rules for the fractographical assessment of fatigue damage, and efforts are being made to find suitable techniques or alter current ones. Consequently, this study looks at two efficient post-failure techniques for identifying and quantifying damage. Fracture surface topography analysis, or FRASTA, has been used to solve a variety of failure problems. This quantified fractographic approach was first used in the early 1980s and has since been improved upon in tandem with developments in computing and measurement methods. To understand the behavior of a material under stress, especially in fatigue scenarios, the second methodology is known as the "entire fracture surface method" in mate-rial science. This method involves analyzing the entire surface of a fracture, or the broken surface pa-rameters. This approach aids in forecasting fatigue life and comprehending fatigue phenomena.&lt;/p&gt;&#13;
</style></abstract><publisher><style face="normal" font="default" size="100%">Wrocław University of Science and Technology</style></publisher><pub-location><style face="normal" font="default" size="100%">Wrocław, Poland</style></pub-location><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Wojciech Macek</style></author><author><style face="normal" font="default" size="100%">Mateusz Korpyś</style></author><author><style face="normal" font="default" size="100%">Dariusz Pojda</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">FRASTA-toolbox: An Open Source Tool for Fracture-surface Analysis</style></title></titles><keywords/><dates><year><style face="normal" font="default" size="100%">2026</style></year></dates><secondary-title><style face="normal" font="default" size="100%">SoftwareX</style></secondary-title><urls><style face="normal" font="default" size="100%">https://doi.org/10.1016/j.softx.2026.102788</style></urls><electronic-resource-num><style face="normal" font="default" size="100%">10.1016/j.softx.2026.102788</style></electronic-resource-num><abstract><style face="normal" font="default" size="100%">&lt;p&gt;FRASTA-toolbox is an open-source application for importing, preprocessing, and analyzing three-dimensional fracture-surface scan data. It provides an implementation of the FRASTA workflow, including grid interpolation, masking, alignment, cross-sectional profile analysis, and interactive two- and three-dimensional visualization based on PyQt5 and pyqtgraph. The software supports reproducible fracture-surface analysis and is applicable to research workflows in materials science, tribology, biomedical engineering, and digital forensics.&lt;/p&gt;&#13;
</style></abstract><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Wojciech Macek</style></author><author><style face="normal" font="default" size="100%">Dariusz Pojda</style></author><author><style face="normal" font="default" size="100%">Przemysław Podulka</style></author><author><style face="normal" font="default" size="100%">Antonio Mourao</style></author><author><style face="normal" font="default" size="100%">Jose Correia</style></author><author><style face="normal" font="default" size="100%">Shun-Peng Zhu</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Qualitative and quantitative fractography of structural steel S235</style></title></titles><keywords/><dates><year><style face="normal" font="default" size="100%">2026</style></year></dates><secondary-title><style face="normal" font="default" size="100%"/></secondary-title><urls><style face="normal" font="default" size="100%">https://onlinelibrary.wiley.com/doi/10.1111/ffe.70488</style></urls><electronic-resource-num><style face="normal" font="default" size="100%">10.1111/ffe.70488</style></electronic-resource-num></record><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">A. Sornek</style></author><author><style face="normal" font="default" size="100%">Agnieszka Anna Tomaka</style></author><author><style face="normal" font="default" size="100%">E. Piętka</style></author><author><style face="normal" font="default" size="100%">J. Łęski</style></author><author><style face="normal" font="default" size="100%">S. Franiel</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Computer system for the analysis of facial features based on 3d surface scans.</style></title></titles><keywords/><dates><year><style face="normal" font="default" size="100%">2006</style></year></dates><secondary-title><style face="normal" font="default" size="100%">Medical Informatics and Technology</style></secondary-title><pages><style face="normal" font="default" size="100%">377–382</style></pages><abstract><style face="normal" font="default" size="100%">Development of 3D scanning techniques provides new possibilities in supporting orthodontics diagnosis. The article describes the implementation and functions of the computer system for facial feature analysis based on 3D surface scans of patient head. The system contains functions derived form traditional facial feature analysis like landmarks acquisition, measurements of distances, inclinations and proportions of the face. Beyond, it enables the analysis of multiple scans, using the registration based on user determined coordinate system.</style></abstract><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">K. Stąpor</style></author><author><style face="normal" font="default" size="100%">Krzysztof Skabek</style></author><author><style face="normal" font="default" size="100%">Agnieszka Anna Tomaka</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Model-based 3D-Shape Recovery by Aspect Graphs</style></title></titles><keywords/><dates><year><style face="normal" font="default" size="100%">1999</style></year></dates><secondary-title><style face="normal" font="default" size="100%"/></secondary-title><volume><style face="normal" font="default" size="100%">8</style></volume><number><style face="normal" font="default" size="100%">2</style></number><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">K. Wieckowska</style></author><author><style face="normal" font="default" size="100%">Agnieszka Anna Tomaka</style></author><author><style face="normal" font="default" size="100%">Ryszard Winiarczyk</style></author><author><style face="normal" font="default" size="100%">E. Piętka</style></author><author><style face="normal" font="default" size="100%">J. Łęski</style></author><author><style face="normal" font="default" size="100%">S. Franiel</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">System for facial tissue reconstruction based on dowel method</style></title></titles><keywords/><dates><year><style face="normal" font="default" size="100%">2006</style></year><pub-dates><date><style face="normal" font="default" size="100%">09</style></date></pub-dates></dates><secondary-title><style face="normal" font="default" size="100%"/></secondary-title><pages><style face="normal" font="default" size="100%">383–387</style></pages><abstract><style face="normal" font="default" size="100%">The paper presents the ideas of a system of soft tissue reconstruction which uses the method of dowels. The list of functionalities which should be included into such a system is described. The system enables the user to edit the thickness of dowels and their directions, which results in building an editable model of the surface of the skin. The set of dowels called the “Rhine configuration” [1,2] is used by default , but there is a possibility to make new statistics for the population being analysed. Further processing is required and the paper shows the ideas of an algorithm of surface splitting taking into consideration the curvature of the skull or, for example, the use of morphing techniques.</style></abstract><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Szymon Kadłubek</style></author><author><style face="normal" font="default" size="100%">Agnieszka Anna Tomaka</style></author><author><style face="normal" font="default" size="100%">Ryszard Winiarczyk</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Computer System for the Registration and Fusion of Multimodal Images for the Purposes of Orthodontics</style></title></titles><keywords/><dates><year><style face="normal" font="default" size="100%">2006</style></year></dates><secondary-title><style face="normal" font="default" size="100%">Journal of Medical Informatics and Technologies</style></secondary-title><abstract><style face="normal" font="default" size="100%">&lt;p&gt;The paper presents aspects connected with development of a computer system for registration and fusion of multimodal images for orthodontic purposes. The idea of the system, of the multimodal image registration, lies in 3D surfaces registering, reconstructed from the sets of MRI or CT planar slices. The system enables the user to perform registration using different approaches based on localised landmarks, based on selected regions of 3D surfaces or based on automatic matching of the whole surfaces. The rigid-body transformation found during the registration is then used to transform the set of slices to generate images that can be fused. The usage of the system was illustrated and the accuracy of the registration was assessed.&lt;/p&gt;&#13;
</style></abstract><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Przemysław Kowalski</style></author><author><style face="normal" font="default" size="100%">Agnieszka Anna Tomaka</style></author><author><style face="normal" font="default" size="100%">B. Liśniewska-Machorowska</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Landmarks Identification Using Active Appearance Model</style></title></titles><keywords/><dates><year><style face="normal" font="default" size="100%">2005</style></year></dates><secondary-title><style face="normal" font="default" size="100%">Archiwum Informatyki Teoretycznej i Stosowanej</style></secondary-title><pages><style face="normal" font="default" size="100%">235–249</style></pages><volume><style face="normal" font="default" size="100%">17</style></volume><number><style face="normal" font="default" size="100%">4/2005</style></number><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">M. Wrześniowski</style></author><author><style face="normal" font="default" size="100%">Maciej Philipp</style></author><author><style face="normal" font="default" size="100%">Agnieszka Anna Tomaka</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Detekcja i estymacja parametrów ruchu z wykorzystaniem klasteryzacji</style></title></titles><keywords/><dates><year><style face="normal" font="default" size="100%">1997</style></year></dates><secondary-title><style face="normal" font="default" size="100%">Zeszyty Naukowe Politechniki Śląskiej</style></secondary-title><abstract><style face="normal" font="default" size="100%">Opracowanie przedstawia metodę detekcji i estymacji parametrów ruchu wykorzystującą algorytm klasteryzacji oraz podaje modyfikację procesu pasowania klasterów. Zaletą metody jest względnie mała wrażliwość na zniekształcenia sceny w ruchomych obrazach. Skuteczność metody została przedstawiona na podstawie analizy sekwencji obrazów o różnym stopniu złożoności. Wyniki przeprowadzonych badań zamieszczono w tabelach. Aby uwydatnić cel modyfikowania algorytmu, porównano wyniki detekcji ruchu na tych samych sekwencjach obrazów.</style></abstract><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Maciej Philipp</style></author><author><style face="normal" font="default" size="100%">Agnieszka Anna Tomaka</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Displacement and rotation estimation by cluster matching</style></title></titles><keywords/><dates><year><style face="normal" font="default" size="100%">1998</style></year></dates><secondary-title><style face="normal" font="default" size="100%">Archiwum Informatyki Teoretycznej i Stosowanej</style></secondary-title><abstract><style face="normal" font="default" size="100%">The article presents a modified approach to cluster based matching. Each cluster from one image is matched with the one taken from the other image. The clusters are described by feature vectors which are used to guide matching process based on optimization. As a result of matching a motion estimation in the image scene is obtained. The proposed modification of the feature vector consists in the introduction of shape descriptors.</style></abstract><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>5</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Krzysztof Skabek</style></author><author><style face="normal" font="default" size="100%">Agnieszka Anna Tomaka</style></author><author><style face="normal" font="default" size="100%">M. Kurzydlowski</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Automatic Mering of 3D atribute meshes.</style></title></titles><keywords/><dates><year><style face="normal" font="default" size="100%">2007</style></year></dates><secondary-title><style face="normal" font="default" size="100%">Computer Recognition Systems 2, seria: Advances in Soft Computing 45, Part I</style></secondary-title><pages><style face="normal" font="default" size="100%">645–652</style></pages><isbn><style face="normal" font="default" size="100%">ISBN-13: 978-3-540-7</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Krzysztof Skabek</style></author><author><style face="normal" font="default" size="100%">Agnieszka Anna Tomaka</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Techniques of processing and segmentation of 3d geometric models for detection of the occlusal area of dental arches</style></title></titles><keywords/><dates><year><style face="normal" font="default" size="100%">2014</style></year></dates><secondary-title><style face="normal" font="default" size="100%">Novel Methodology of Both Diagnosis and Therapy of Bruxism</style></secondary-title><pages><style face="normal" font="default" size="100%">57–62</style></pages><abstract><style face="normal" font="default" size="100%">&lt;p&gt;In the paper techniques for processing and segmentation of surface models in the form of triangular meshes were described. We focused on the analysis of models of dental arches. The methods of matching the surface models were used and search techniques for homographic geometric structures and automation of the process for determination of the occlusion area were applied. The difficulties in the automatic determination of the area of occlusion were pointed out and the method was compared to the traditional techniques using wax bite that reproduce natural occlusion setting. Another application of the developed techniques is the simulator of the jaw motion.&lt;/p&gt;&#13;
</style></abstract><publisher><style face="normal" font="default" size="100%">International Centre of Biocybernetics Polish Academy of Sciences, Warsaw, Poland</style></publisher><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Krzysztof Skabek</style></author><author><style face="normal" font="default" size="100%">Agnieszka Anna Tomaka</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Comparison of photgrammetric techniques for surface reconstruction from images to reconstruction from laser scanning</style></title></titles><keywords/><dates><year><style face="normal" font="default" size="100%">2014</style></year></dates><secondary-title><style face="normal" font="default" size="100%">Theoretical and Applied Informatics</style></secondary-title><pages><style face="normal" font="default" size="100%">161–178</style></pages><volume><style face="normal" font="default" size="100%">26</style></volume><number><style face="normal" font="default" size="100%">3-4</style></number><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Krzysztof Skabek</style></author><author><style face="normal" font="default" size="100%">Agnieszka Anna Tomaka</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Applications of Computer Vision in Medicine and Protection of Monuments</style></title></titles><keywords/><dates><year><style face="normal" font="default" size="100%">2010</style></year></dates><secondary-title><style face="normal" font="default" size="100%">Theoretical and Applied Informatics</style></secondary-title><pages><style face="normal" font="default" size="100%">203–223</style></pages><volume><style face="normal" font="default" size="100%">22</style></volume><number><style face="normal" font="default" size="100%">3</style></number><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Krzysztof Skabek</style></author><author><style face="normal" font="default" size="100%">Agnieszka Anna Tomaka</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Symulator widoków wielościanów uzyskiwanych za pomocą głowicy stereowizualnej – implementacja i zastosowania</style></title></titles><keywords/><dates><year><style face="normal" font="default" size="100%">2000</style></year></dates><secondary-title><style face="normal" font="default" size="100%">Archiwum Informatyki Teoretycznej i Stosowanej</style></secondary-title><volume><style face="normal" font="default" size="100%">12</style></volume><number><style face="normal" font="default" size="100%">2</style></number><abstract><style face="normal" font="default" size="100%">W artykule opisano symulator widoków wielościanów z głowicą stereowizualną przy założeniu idealnych warunków obserwacyjnych. Symulator widoków wielościanów jest narzędziem umożliwiającym generowanie stereoskopowych widoków dla zdefiniowanej sceny przestrzennej z dowolnego punktu obserwacji umiejscowionego w otoczeniu sceny będącej zbiorem wielościanów. Zaproponowano wektorowy algorytm znajdowania przesłonięć. Opisano sposób użycia oraz przykładowe wyniki działania symulatora. Wskazano także na zastosowania narzędzia w widzeniu komputerowym.</style></abstract><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Krzysztof Skabek</style></author><author><style face="normal" font="default" size="100%">Agnieszka Anna Tomaka</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Software Tool for Microscope Image Comparison (SOMIC)</style></title></titles><keywords/><dates><year><style face="normal" font="default" size="100%">1999</style></year></dates><secondary-title><style face="normal" font="default" size="100%">Archiwum Informatyki Teoretycznej i Stosowanej</style></secondary-title><abstract><style face="normal" font="default" size="100%">The article presents some aspects of designing and implementation of a software tool for microscope image comparison. The assumptions for the program were derived from observation of the work of the forensic expert. Some details of implementation and the basic idea of usage are described. Examples of possible applications in forensic analysis are illustrated.</style></abstract><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Michał Tarnawski</style></author><author><style face="normal" font="default" size="100%">Agnieszka Anna Tomaka</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Acquisition of mandible movement with a 3D scanner</style></title></titles><keywords/><dates><year><style face="normal" font="default" size="100%">2014</style></year></dates><secondary-title><style face="normal" font="default" size="100%">Novel Methodology of Both Diagnosis and Therapy of Bruxism</style></secondary-title><pages><style face="normal" font="default" size="100%">63–67</style></pages><abstract><style face="normal" font="default" size="100%">&lt;p&gt;Jaw motion analysis is the essential part of temporomandibular disorders diagnosis. The authors describe the background for the evolution of the devices, which leads to functional multimodal image acquisition. Scans of face, dentition, put together with CT reconstruction, are registered in certain mandible positions by means of optical face scanner, using the transfer: kinematic facial arch as a conjunction of the images. The sets of registrations leads to 3Dmovement analysis.&lt;/p&gt;&#13;
</style></abstract><publisher><style face="normal" font="default" size="100%">International Centre of Biocybernetics Polish Academy of Sciences, Warsaw, Poland</style></publisher><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Agnieszka Anna Tomaka</style></author><author><style face="normal" font="default" size="100%">Jan Piecha</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Wybrane aspekty implementacji analizy wzrostu twarzo-czaszki metodą tensorów</style></title></titles><keywords/><dates><year><style face="normal" font="default" size="100%">1998</style></year><pub-dates><date><style face="normal" font="default" size="100%">10</style></date></pub-dates></dates><secondary-title><style face="normal" font="default" size="100%">Techniki Informatyczne w Medycynie</style></secondary-title><pages><style face="normal" font="default" size="100%">BP–21–31</style></pages><abstract><style face="normal" font="default" size="100%">W referacie omówione zostaną zagadnienia powstałe w trakcie projektowania i implementacji komputerowego systemu analizy wzrostu metodą tensorów na podstawie teleradiogramów. Będą to więc aspekty związane z akwizycją danych: obrazów i punktów charakterystycznych, związane z pasowaniem obrazów i doborem układu współrzędnych. Przedstawiony zostanie analityczny algorytm wyznaczania współczynników wzrostu, dokładniejszy w stosunku do algorytmu graficznego. Następnie omówione zostaną zagadnienia prezentacji i archiwizacji danych. Przedstawione zostaną również zagadnienia ograniczeń metody i propozycje dalszego jej rozwoju.</style></abstract><publisher><style face="normal" font="default" size="100%">Zakład elektroniki i Systemów Komputerowych, Instytut Informatyki, Uniwersytet Śląski, Sosnowiec</style></publisher><pub-location><style face="normal" font="default" size="100%">41-200 Sosnowiec, ul. Będzińska 60</style></pub-location><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>28</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Agnieszka Anna Tomaka</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Analiza obrazów wielomodalnych dla potrzeb nieinwazyjnej diagnostyki ortodontycznej</style></title></titles><keywords/><dates><year><style face="normal" font="default" size="100%">2013</style></year></dates><isbn><style face="normal" font="default" size="100%">978-83-62652-46-4</style></isbn><publisher><style face="normal" font="default" size="100%">Instytut Informatyki Teoretycznej i Stosowanej PAN</style></publisher><pub-location><style face="normal" font="default" size="100%">Gliwice, ul. Bałtycka 5</style></pub-location><language><style face="normal" font="default" size="100%">eng</style></language><notes><style face="normal" font="default" size="100%">Rozprawa habilitacyjna</style></notes></record><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Agnieszka Anna Tomaka</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Detekcja i opis deformacji struktur na podstawie sekwencji obrazów cyfrowych</style></title></titles><keywords/><dates><year><style face="normal" font="default" size="100%">2002</style></year><pub-dates><date><style face="normal" font="default" size="100%">05</style></date></pub-dates></dates><secondary-title><style face="normal" font="default" size="100%">Działalność Naukowa, PAN, Wybrane zagadnienia</style></secondary-title><number><style face="normal" font="default" size="100%">13</style></number><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>32</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Agnieszka Anna Tomaka</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Detekcja i opis deformacji struktur na podstawie sekwencji obrazów cyfrowych</style></title></titles><keywords/><dates><year><style face="normal" font="default" size="100%">2001</style></year><pub-dates><date><style face="normal" font="default" size="100%">12</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">Politechnika Śląska</style></publisher><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Agnieszka Anna Tomaka</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Multimodal Image Data Integration and Analysis for the Purposes of Orthodontic Diagnosis</style></title></titles><keywords/><dates><year><style face="normal" font="default" size="100%">2015</style></year></dates><secondary-title><style face="normal" font="default" size="100%">Annual Report Polish Academy of Sciences</style></secondary-title><pages><style face="normal" font="default" size="100%">59–61</style></pages><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Agnieszka Anna Tomaka</style></author><author><style face="normal" font="default" size="100%">A. Pisulska-Otremba</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Computer Vision Support for the Orthodontic Diagnosis</style></title></titles><keywords/><dates><year><style face="normal" font="default" size="100%">2009</style></year></dates><secondary-title><style face="normal" font="default" size="100%">International Conference on Man-Machine Interactions in Memoriam Adam Mrózek</style></secondary-title><abstract><style face="normal" font="default" size="100%">The following paper presents the achievement reached by our joined teams: Computer Vision System Group (ZKSW) in the Institute of Theoretical and Applied Computer Sciences, Polish Academy of Sciences and Department of Orthodontics, Silesian Medical University. The cooperation began from the inspiration of late prof. A. Mrózek. Computer Vision in supporting orthodontic diagnosis means all the problems connected with proper acquisition, calibration and analysis of the diagnostic images of orthodontic patients. The aim of traditional cephalometric analysis is the quantitative confirmation of skeletal and/or soft tissue abnormalities on single images, assessment of the treatment plan, long term follow up of growth and treatment results. Beginning with the computerization of the methods used in traditional manual diagnosis in the simplest X-ray films of the patient’s head we have developed our research towards engaging different methods of morphometrics, deformation analysis and using different imaging modalities: pairs of cephalograms (lateral an frontal), CT-scans, laser scans of dental models, laser scans of soft tissues, finally merging all the image information into patient’s specific geometric and deformable model of the head. The model can be further exploited in the supporting of the surgical correction of jaw discrepancies. Our laboratory equipment allows us to design virtual operations, educational programs in a virtual reality with a CyberGlove device, and finally to verify the plan of intervention on stereolithographic solid models received from a 3D printer.</style></abstract><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Agnieszka Anna Tomaka</style></author><author><style face="normal" font="default" size="100%">B. Liśniewska-Machorowska</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">The application of 3D surfaces scanning in the facial features analysis</style></title></titles><keywords/><dates><year><style face="normal" font="default" size="100%">2005</style></year><pub-dates><date><style face="normal" font="default" size="100%">10</style></date></pub-dates></dates><secondary-title><style face="normal" font="default" size="100%"/></secondary-title><pages><style face="normal" font="default" size="100%">233–240</style></pages><volume><style face="normal" font="default" size="100%">9</style></volume><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Agnieszka Anna Tomaka</style></author><author><style face="normal" font="default" size="100%">J. Ihnatowicz</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Model procesu tworzenia obrazu rentgenowskiego</style></title></titles><keywords/><dates><year><style face="normal" font="default" size="100%">1997</style></year></dates><secondary-title><style face="normal" font="default" size="100%">Zeszyty Naukowe Politechniki Śląskiej</style></secondary-title><abstract><style face="normal" font="default" size="100%">Opracowano uproszczony model procesu tworzenia obrazów rentgenowskich dla celów implementacji w formie programu komputerowego. Stworzono modele poszczególnych części toru obrazowania: lampy rentgenowskiej, filtru, obiektu oraz detektora. Współczynniki masowego pochłaniania promieniowania rentgenowskiego zebrano na podstawie danych literaturowych, dla danych niedostępnych dokonano estymacji na podstawie składu chemicznego.</style></abstract><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Agnieszka Anna Tomaka</style></author><author><style face="normal" font="default" size="100%">Przemysław Kowalski</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Using active models for finding landmarks</style></title></titles><keywords/><dates><year><style face="normal" font="default" size="100%">2005</style></year><pub-dates><date><style face="normal" font="default" size="100%">10</style></date></pub-dates></dates><secondary-title><style face="normal" font="default" size="100%"/></secondary-title><pages><style face="normal" font="default" size="100%">225–232</style></pages><volume><style face="normal" font="default" size="100%">9</style></volume><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Agnieszka Anna Tomaka</style></author><author><style face="normal" font="default" size="100%">Leszek Luchowski</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Purpose of cephalometric computations in craniofacial surgery</style></title></titles><keywords/><dates><year><style face="normal" font="default" size="100%">2010</style></year><pub-dates><date><style face="normal" font="default" size="100%">09</style></date></pub-dates></dates><secondary-title><style face="normal" font="default" size="100%">Bulletin of the Polish Academy of Sciences: Technical Sciences</style></secondary-title><pages><style face="normal" font="default" size="100%">403–407</style></pages><volume><style face="normal" font="default" size="100%">58</style></volume><number><style face="normal" font="default" size="100%">3</style></number><abstract><style face="normal" font="default" size="100%">The main goal of this article is to present ways of creating a parametric, dynamic model of the physical frame of the human head in order to cope with the badly disfigured patient's appearance, affecting various functions (e.g. breathing, speaking, chewing and swallowing).</style></abstract><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Agnieszka Anna Tomaka</style></author><author><style face="normal" font="default" size="100%">Leszek Luchowski</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Computer-aided longitudinal description of deformation and its application to craniofacial growth in humans</style></title></titles><keywords/><dates><year><style face="normal" font="default" size="100%">2003</style></year></dates><secondary-title><style face="normal" font="default" size="100%">Archiwum Informatyki Teoretycznej i Stosowanej</style></secondary-title><number><style face="normal" font="default" size="100%">4/2003</style></number><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Agnieszka Anna Tomaka</style></author><author><style face="normal" font="default" size="100%">Leszek Luchowski</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Stereovision Techniques for the Three-Dimensional Cephalogram</style></title></titles><keywords/><dates><year><style face="normal" font="default" size="100%">2003</style></year></dates><secondary-title><style face="normal" font="default" size="100%">E-he@lth in Common Europe</style></secondary-title><publisher><style face="normal" font="default" size="100%">Uczelniane Wydawnictwa Naukowo-Dydaktyczne</style></publisher><pub-location><style face="normal" font="default" size="100%">Kraków</style></pub-location><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Agnieszka Anna Tomaka</style></author><author><style face="normal" font="default" size="100%">Leszek Luchowski</style></author><author><style face="normal" font="default" size="100%">Krzysztof Skabek</style></author><author><style face="normal" font="default" size="100%">K. Cyran</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">From museum exhibits to 3D models</style></title></titles><keywords/><dates><year><style face="normal" font="default" size="100%">2009</style></year></dates><secondary-title><style face="normal" font="default" size="100%">Man-Machine Interactions</style></secondary-title><pages><style face="normal" font="default" size="100%">477–486</style></pages><abstract><style face="normal" font="default" size="100%">The article presents the use of 3D scanners and printers for the digitization of 3D objects of cultural heritage. The work describes the full processing chain from the scanning of an exhibit to the creation of a tangible copy using a 3D printer. Problems caused by imperfect data sets are discussed and solutions proposed</style></abstract><publisher><style face="normal" font="default" size="100%">Springer</style></publisher><pub-location><style face="normal" font="default" size="100%">Berlin Heidelberg</style></pub-location><language><style face="normal" font="default" size="100%">eng</style></language><notes><style face="normal" font="default" size="100%">International Conference on Man-Machine Interactions in Memoriam Adam Mrózek</style></notes></record><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Agnieszka Anna Tomaka</style></author><author><style face="normal" font="default" size="100%">Leszek Luchowski</style></author><author><style face="normal" font="default" size="100%">Krzysztof Skabek</style></author><author><style face="normal" font="default" size="100%">Michał Tarnawski</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">3D head surface scanning techniques for orthodontics.</style></title></titles><keywords/><dates><year><style face="normal" font="default" size="100%">2005</style></year><pub-dates><date><style face="normal" font="default" size="100%">10</style></date></pub-dates></dates><secondary-title><style face="normal" font="default" size="100%"/></secondary-title><pages><style face="normal" font="default" size="100%">123–130</style></pages><volume><style face="normal" font="default" size="100%">9</style></volume><abstract><style face="normal" font="default" size="100%">The accuracy of the Minolta 9i 3D laser scanner is evaluated and conditions are defined for its usability in orthodontics. Experiments are described which helped determine optimal scanning conditions such as beam power, patient positioning, the number of scans per examination, and viewpoint selection.</style></abstract><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Agnieszka Anna Tomaka</style></author><author><style face="normal" font="default" size="100%">Adam Mrózek</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Komputerowe metody oceny deformacji twarzo-czaszki na podstawie sekwencji teleradiogramów</style></title></titles><keywords/><dates><year><style face="normal" font="default" size="100%">1999</style></year><pub-dates><date><style face="normal" font="default" size="100%">10</style></date></pub-dates></dates><secondary-title><style face="normal" font="default" size="100%">II Krajowa Konferencja ,,Metody i systemy komputerowe w badaniach naukowych i projektowaniu inżynierskim</style></secondary-title><pages><style face="normal" font="default" size="100%">109–114</style></pages><abstract><style face="normal" font="default" size="100%">Ocena postępów choroby i efektów leczenia ortodontycznego dzieci z wrodzonymi wadami w obrębie twarzo-czaszki wymaga analizy zdjęć rentgenowskich głowy (cefalogramów – teleradiogramów). Jej celem jest wyodrębnienie obszarów twarzo-czaszki w których istnieją określone tendencje rozwojowe i opisanie tych tendencji. Wszystkie zmiany w tych zachodzące w tych obszarach zarówno na skutek normalnego wzrostu, istniejących patologii czy zabiegu chirurgicznego, bądź też wynikające z porównania obszarów wzajemnie symetrycznych określane są ogólnie jako deformacja. Metody stosowane w analizie deformacji powinny cechować się łatwą do odczytania przez lekarzy semantyką. Z tego względu analiza jest przeprowadzana na podstawie tzw. punktów charakterystycznych, wskazywanych przez lekarza na teleradiogramach, wykonanych w różnych chwilach czasu. W referacie przedstawiono metody opisu deformacji na płaszczyźnie teleradiogramów wychodząc od tradycyjnie stosowanych w Polsce metod, aż po metodę tensorów Booksteina i metody zaczerpnięte ze współczesnej mechaniki. Pokazano dlaczego wyniki analiz płaszczyznowych, przeprowadzonych na podstawie cefalogramów, wydają się być niewystarczające i jakie warunki powinny zostać spełnione, aby móc analizę zachodzącej deformacji przeprowadzić w trzech wymiarach. Zaproponowano rozszerzenie metody tensorów na przypadek trójwymiarowy. Rozpatrzono zagadnienia związane z komputerową implementacją tych metod, a więc z akwizycją punktów charakterystycznych, kalibracją i skalowaniem obrazów o różnym powiększeniu, pozycjonowaniem pary wzajemnie ortogonalnych teleradiogramów, wyborem odpowiednich parametrów do wyznaczania, a następnie prezentacją wyników. Rozważania zilustrowano przykładową trójwymiarową analizą cefalogramów. Omówiono także ograniczenia wynikające z tych metod oraz kierunki dalszych prac</style></abstract><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Agnieszka Anna Tomaka</style></author><author><style face="normal" font="default" size="100%">Adam Mrózek</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Trójwymiarowa komputerowa ocena deformacji twarzowej części czaszki w oparciu o analizę par wzajemnie prostopadłych teleradiogramów</style></title></titles><keywords/><dates><year><style face="normal" font="default" size="100%">1999</style></year><pub-dates><date><style face="normal" font="default" size="100%">11</style></date></pub-dates></dates><secondary-title><style face="normal" font="default" size="100%">Techniki Informacyjne w Medycynie</style></secondary-title><pages><style face="normal" font="default" size="100%">163–169</style></pages><abstract><style face="normal" font="default" size="100%">Praca prezentuje zagadnienia związane z opracowaniem i implementacją trójwymiarowej metody tensorów dla oceny deformacji twarzowej części czaszki w oparciu o dwie pary wzajemnie prostopadłych teleradiogramów. Przedstawia ideę metody oraz definiuje parametry służące ilościowej ocenie deformacji, a także podaje algorytm obliczeniowy. Jako dane wejściowe traktuje pary wzajemnie prostopadłych teleradiogramów, prezentując warunki, jakie muszą być spełnione, aby tworzyły one wiarygodny trójwymiarowy cefalogram. Praca omawia także ograniczenia metody oraz porównuje ją z tradycyjną metodą płaszczyznową.</style></abstract><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Agnieszka Anna Tomaka</style></author><author><style face="normal" font="default" size="100%">S. Trzeszkowska-Rotkegel</style></author><author><style face="normal" font="default" size="100%">Michał Tarnawski</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Correction of error in 3D reconstruction induced by CT gantry tilt</style></title></titles><keywords/><dates><year><style face="normal" font="default" size="100%">2008</style></year></dates><secondary-title><style face="normal" font="default" size="100%"/></secondary-title><pages><style face="normal" font="default" size="100%">169–175</style></pages><volume><style face="normal" font="default" size="100%">12</style></volume><abstract><style face="normal" font="default" size="100%">The paper presents the problems connected with 3D reconstruction of CT slices of the database of orthodontic patients, using the commercial application software. Serious errors occurred for scans taken with a tilted CT gantry and inverse table movement. A compensation of the errors is proposed and the results after the compensation are verified by comparison to laser scans for a reference object, and to the measurements performed using the dedicated software of the CT station for selected cases in the database.</style></abstract><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Agnieszka Anna Tomaka</style></author><author><style face="normal" font="default" size="100%">Krzysztof Skabek</style></author><author><style face="normal" font="default" size="100%">E. Piętka</style></author><author><style face="normal" font="default" size="100%">J. Łęski</style></author><author><style face="normal" font="default" size="100%">S. Franiel</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Automatic Registration and Merging of 3D Surface Scans of Human Head</style></title></titles><keywords/><dates><year><style face="normal" font="default" size="100%">2006</style></year></dates><secondary-title><style face="normal" font="default" size="100%"/></secondary-title><pages><style face="normal" font="default" size="100%">75–81</style></pages><abstract><style face="normal" font="default" size="100%">The article presents a method of registration of range images obtained from different viewpoints and a method to merge them properly into one 3D photograph of patient head for orthodontic diagnosis. Our task concentrates on obtaining automatically the precise and repeatable examination results.</style></abstract><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Agnieszka Anna Tomaka</style></author><author><style face="normal" font="default" size="100%">Michał Tarnawski</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Integration of multimodal image data for the purposes of supporting the diagnosis of the stomatognatic system</style></title></titles><keywords/><dates><year><style face="normal" font="default" size="100%">2014</style></year></dates><secondary-title><style face="normal" font="default" size="100%">Novel Methodology of Both Diagnosis and Therapy of Bruxism</style></secondary-title><pages><style face="normal" font="default" size="100%">68–75</style></pages><abstract><style face="normal" font="default" size="100%">&lt;p&gt;Technical development makes it possible to augment clinical examination of the stomatognathic system by the analysis of images acquired with different imaging modalities: virtual dental models - laser scans of dental models, 2D and 3D biometric photography, orthopantomograms (ORP) and cephalograms, Computed Tomography CT and Cone Beam Computed Tomography CBCT. All image data for one person form the patient specific record, which can be used for dignosis, progonosis, treatment planning, and the evaluation of treatment outcome, however, the analyzes performed for particular imaging modalities have to be integrated in the mind of a medical specialist. The paper presents an integration method for multimodal imaging data. The main idea relies on registration - a transformation of various imaging data into the same coordinate system, connected with the patient. A type of transformation has to be defined for each modality, according to the data representation used. The basis assumption is the presence, in the imaging data from various modalities, of common areas, which can be used to find the transformation through an optimization process. For disjoint images, where such common areas are not available, the use of additional reference objects is suggested and special transferring devices are designed. Registration of 3D images acquired at the same time amounts to a seek for a rigid-body transformation. Relating 2D and 3D images to each other involves identifying a projection. Presented examples of integration of multimodal image data include: fusion of 3D facial photography and digital dental models, producing digital gnathostatic models; segmenting the CT data with separation of craniomaxillary complex and the mandible using virtual dental models: determinig patient position during radiographic examination.&lt;/p&gt;&#13;
</style></abstract><publisher><style face="normal" font="default" size="100%">International Centre of Biocybernetics Polish Academy of Sciences, Warsaw, Poland</style></publisher><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Agnieszka Anna Tomaka</style></author><author><style face="normal" font="default" size="100%">Michał Tarnawski</style></author><author><style face="normal" font="default" size="100%">Leszek Luchowski</style></author><author><style face="normal" font="default" size="100%">B. Liśniewska-Machorowska</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Digital dental models and 3D patient photographs registration for orthodontic documentation and diagnostic purposes</style></title></titles><keywords/><dates><year><style face="normal" font="default" size="100%">2007</style></year><pub-dates><date><style face="normal" font="default" size="100%">X</style></date></pub-dates></dates><secondary-title><style face="normal" font="default" size="100%">Computer Recognition Systems: Proceedings of 5th International Conference on Computer Recognition Systems CORES'07</style></secondary-title><abstract><style face="normal" font="default" size="100%">Orthodontic diagnosis uses the information obtained by different imaging modalities, but routine diagnosis of simple cases still relies on the orthopantomogram, the lateral cephalogram, planar photographs and dental cast models. The article presents a method of virtual registration of 3D photographs (3D facial scans) with digital dental models. By deriving the idea from old gnathostatic models we explain the registration process with the use of registration objects – an equivalent of the traditional facial arch. Potential use of such registration to create a standardized patient dataset is discussed, in order to integrate the analysis of facial and dental models.</style></abstract><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Agnieszka Anna Tomaka</style></author><author><style face="normal" font="default" size="100%">Konrad Wojciechowski</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Landmark-based quantitative description of deformation</style></title></titles><keywords/><dates><year><style face="normal" font="default" size="100%">2001</style></year></dates><secondary-title><style face="normal" font="default" size="100%">KOSYR</style></secondary-title><pages><style face="normal" font="default" size="100%">119–124</style></pages><publisher><style face="normal" font="default" size="100%">Division of Systems and Computer Networks Wrocław University of Technology</style></publisher><pub-location><style face="normal" font="default" size="100%">Wrocław</style></pub-location><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>5</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Krzysztof Skabek</style></author><author><style face="normal" font="default" size="100%">Agnieszka Anna Tomaka</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Modification of the ICP Algorithm for Detection of the Occlusal Area of Dental Arches</style></title></titles><keywords/><dates><year><style face="normal" font="default" size="100%">2016</style></year></dates><secondary-title><style face="normal" font="default" size="100%">Information Technologies in Medicine: 5th International Conference, ITIB 2016 Kamień Śląski, Poland, June 20 - 22, 2016 Proceedings, Volume 1</style></secondary-title><urls><style face="normal" font="default" size="100%">http://dx.doi.org/10.1007/978-3-319-39796-2_9</style></urls><electronic-resource-num><style face="normal" font="default" size="100%">10.1007/978-3-319-39796-2_9</style></electronic-resource-num><pages><style face="normal" font="default" size="100%">97–106</style></pages><isbn><style face="normal" font="default" size="100%">978-3-319-39796-2</style></isbn><publisher><style face="normal" font="default" size="100%">Springer International Publishing</style></publisher><pub-location><style face="normal" font="default" size="100%">Cham</style></pub-location><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>5</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Leszek Luchowski</style></author><author><style face="normal" font="default" size="100%">Agnieszka Anna Tomaka</style></author><author><style face="normal" font="default" size="100%">Krzysztof Skabek</style></author><author><style face="normal" font="default" size="100%">Michał Tarnawski</style></author><author><style face="normal" font="default" size="100%">Przemysław Kowalski</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Forming an Occlusal Splint to Support the Therapy of Bruxism</style></title></titles><keywords/><dates><year><style face="normal" font="default" size="100%">2016</style></year></dates><secondary-title><style face="normal" font="default" size="100%">Information Technologies in Medicine: 5th International Conference, ITIB 2016 Kamień Śląski, Poland, June 20 - 22, 2016 Proceedings, Volume 2</style></secondary-title><urls><style face="normal" font="default" size="100%">http://dx.doi.org/10.1007/978-3-319-39904-1_24</style></urls><electronic-resource-num><style face="normal" font="default" size="100%">10.1007/978-3-319-39904-1_24</style></electronic-resource-num><pages><style face="normal" font="default" size="100%">267–273</style></pages><isbn><style face="normal" font="default" size="100%">978-3-319-39904-1</style></isbn><publisher><style face="normal" font="default" size="100%">Springer International Publishing</style></publisher><pub-location><style face="normal" font="default" size="100%">Cham</style></pub-location><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Agnieszka Anna Tomaka</style></author><author><style face="normal" font="default" size="100%">Leszek Luchowski</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">The application of 3D Computer Vision In Orthodontics</style></title></titles><keywords/><dates><year><style face="normal" font="default" size="100%">2006</style></year></dates><secondary-title><style face="normal" font="default" size="100%">Annual Report Polish Academy of Sciences</style></secondary-title><pages><style face="normal" font="default" size="100%">58-59</style></pages><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>5</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Michał Tarnawski</style></author><author><style face="normal" font="default" size="100%">Agnieszka Anna Tomaka</style></author><author><style face="normal" font="default" size="100%">Leszek Luchowski</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Zastosowanie cyfrowych modeli gnatostatycznych. Opis przypadku / The application of digital gnathostatic models. Case report</style></title></titles><keywords/><dates><year><style face="normal" font="default" size="100%">2019</style></year></dates><secondary-title><style face="normal" font="default" size="100%">In A. Machorowska-Pieniążek (ed.): Ortodoncja w praktyce. Teksty wybrane. Tom 1/2</style></secondary-title><urls><style face="normal" font="default" size="100%">https://www.medicon.pl/ortodoncja-w-praktyce-teksty-wybrane-tom-12/29634</style></urls><publisher><style face="normal" font="default" size="100%">Elamed</style></publisher><pub-location><style face="normal" font="default" size="100%">Katowice</style></pub-location><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Mateusz Żarski</style></author><author><style face="normal" font="default" size="100%">Bartosz Wójcik</style></author><author><style face="normal" font="default" size="100%">Kamil Książek</style></author><author><style face="normal" font="default" size="100%">Jaroslaw Miszczak</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Finicky transfer learning—A method of pruning convolutional neural networks for cracks classification on edge devices</style></title></titles><keywords/><dates><year><style face="normal" font="default" size="100%">2021</style></year><pub-dates><date><style face="normal" font="default" size="100%">03/2022</style></date></pub-dates></dates><secondary-title><style face="normal" font="default" size="100%">Computer-Aided Civil And Infrastructure Engineering</style></secondary-title><electronic-resource-num><style face="normal" font="default" size="100%">10.1111/mice.12755</style></electronic-resource-num><volume><style face="normal" font="default" size="100%">37</style></volume><issue><style face="normal" font="default" size="100%">4</style></issue><section><style face="normal" font="default" size="100%">500</style></section><abstract><style face="normal" font="default" size="100%">&lt;p&gt;High demand for computational power significantly limits the possibility of using modern deep learning methods in the environments where one has to deal with devices limited by the performance and the energy constraints. To address this issue, this paper proposes a novel method of combining the pruning and the transfer learning techniques for the purpose of delivering solid accuracy while simultaneously lowering the demand for energy and computing power. This method is referred to as \emph{Finicky Transfer Learning} (FTL) as it is finicky during the process of selecting filters from a pre-trained feature extractor to compose a sparser architecture. The proposed filter selection process is based on an original approach utilizing the Jaccard similarity coefficient calculated between the activation maps and the masks obtained by semantic segmentation. This enables the use of CNN, trained previously on a large generic dataset, in a crack classification task. The presented method significantly lowers the inference time while maintaining or even slightly increasing the classification accuracy, enabling real-time operation on single-board computers.&lt;/p&gt;&#13;
</style></abstract><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Bartosz Wójcik</style></author><author><style face="normal" font="default" size="100%">Mateusz Żarski</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">The measurements of surface defect area with an RGB-D camera for a BIM-backed bridge inspection</style></title></titles><keywords/><dates><year><style face="normal" font="default" size="100%">2021</style></year><pub-dates><date><style face="normal" font="default" size="100%">6/2021</style></date></pub-dates></dates><secondary-title><style face="normal" font="default" size="100%">Bulletin of the Polish Academy of Sciences: Technical Sciences</style></secondary-title><electronic-resource-num><style face="normal" font="default" size="100%">10.24425/bpasts.2021.137123</style></electronic-resource-num><volume><style face="normal" font="default" size="100%">69</style></volume><issue><style face="normal" font="default" size="100%">3</style></issue><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Mateusz Żarski</style></author><author><style face="normal" font="default" size="100%">Bartosz Wójcik</style></author><author><style face="normal" font="default" size="100%">Jaroslaw Miszczak</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">KrakN: Transfer Learning framework and dataset for infrastructure thin crack detection</style></title></titles><keywords/><dates><year><style face="normal" font="default" size="100%">2021</style></year><pub-dates><date><style face="normal" font="default" size="100%">12/2021</style></date></pub-dates></dates><secondary-title><style face="normal" font="default" size="100%">SoftwareX</style></secondary-title><urls><style face="normal" font="default" size="100%">https://arxiv.org/abs/2004.12337</style></urls><electronic-resource-num><style face="normal" font="default" size="100%">10.1016/j.softx.2021.100893</style></electronic-resource-num><volume><style face="normal" font="default" size="100%">16</style></volume><section><style face="normal" font="default" size="100%">100893</style></section><abstract><style face="normal" font="default" size="100%">&lt;p&gt;Monitoring the technical condition of infrastructure is a crucial element of its maintenance. Although there are many deep learning models intended for this purpose, they are severely limited in their application due to labour-intensive gathering of new datasets and high demand for computing power during model training. To overcome these limiting factors we propose a KrakN framework. It enables end-to-end development of unique infrastructure defect detectors on digital images, achieving an accuracy of above 90%. The framework also supports the semi-automatic creation of new datasets and has modest computing power requirements. It can be used to immediately implement deep learning in the process of infrastructure management and, due to its architecture based on transfer learning, allows low metric loss when used across different datasets. We also demonstrate that thanks to its scalability and modular structure, the presented framework is easily modifiable, and can be used in realistic scenarios.&lt;/p&gt;&#13;
</style></abstract><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>5</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Mateusz Żarski</style></author><author><style face="normal" font="default" size="100%">Bartosz Wójcik</style></author><author><style face="normal" font="default" size="100%">Kamil Książek</style></author><author><style face="normal" font="default" size="100%">Marek Salamak</style></author><author><style face="normal" font="default" size="100%">Jaroslaw Miszczak</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Advances in applicable deep-learning based defect  detection</style></title></titles><keywords/><dates><year><style face="normal" font="default" size="100%">2021</style></year></dates><secondary-title><style face="normal" font="default" size="100%">2nd Workshop on Engineering  Optimization – WEO 2021</style></secondary-title><urls><style face="normal" font="default" size="100%">http://v4shm.ippt.pan.pl/WEO2021-BookOfAbstracts.pdf</style></urls><isbn><style face="normal" font="default" size="100%">987-83-65550-23-1</style></isbn><publisher><style face="normal" font="default" size="100%">Institute of Fundamental Technological Research of the Polish Academy of Sciences</style></publisher><pub-location><style face="normal" font="default" size="100%">Warsaw</style></pub-location><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>5</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Bartosz Wójcik</style></author><author><style face="normal" font="default" size="100%">Mateusz Żarski</style></author><author><style face="normal" font="default" size="100%">Marek Salamak</style></author><author><style face="normal" font="default" size="100%">Jaroslaw Miszczak</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Extracting crack characteristics from RGB-D images</style></title></titles><keywords/><dates><year><style face="normal" font="default" size="100%">2021</style></year></dates><secondary-title><style face="normal" font="default" size="100%">2nd Workshop on Engineering  Optimization – WEO 2021</style></secondary-title><urls><style face="normal" font="default" size="100%">http://v4shm.ippt.pan.pl/WEO2021-BookOfAbstracts.pdf</style></urls><isbn><style face="normal" font="default" size="100%">987-83-65550-23-1</style></isbn><publisher><style face="normal" font="default" size="100%">Institute of Fundamental Technological Research of the Polish Academy of Sciences</style></publisher><pub-location><style face="normal" font="default" size="100%">Warsaw</style></pub-location><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Mateusz Żarski</style></author><author><style face="normal" font="default" size="100%">Bartosz Wójcik</style></author><author><style face="normal" font="default" size="100%">Jaroslaw Miszczak</style></author><author><style face="normal" font="default" size="100%">Bartlomiej Blachowski</style></author><author><style face="normal" font="default" size="100%">Mariusz Ostrowski</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Computer Vision Based Inspection on Post-Earthquake With UAV Synthetic Dataset</style></title></titles><keywords/><dates><year><style face="normal" font="default" size="100%">2022</style></year><pub-dates><date><style face="normal" font="default" size="100%">10/2022</style></date></pub-dates></dates><secondary-title><style face="normal" font="default" size="100%">IEEE Access</style></secondary-title><urls><style face="normal" font="default" size="100%">https://arxiv.org/abs/2210.05282</style></urls><electronic-resource-num><style face="normal" font="default" size="100%">10.1109/ACCESS.2022.3212918</style></electronic-resource-num><volume><style face="normal" font="default" size="100%">10</style></volume><section><style face="normal" font="default" size="100%">108134</style></section><abstract><style face="normal" font="default" size="100%">&lt;div&gt;The area affected by the earthquake is vast and often difficult to entirely cover, and the earthquake itself is a sudden event that causes multiple defects simultaneously, that cannot be effectively traced using traditional, manual methods. This article presents an innovative approach to the problem of detecting damage after sudden events by using an interconnected set of deep machine learning models organized in a single pipeline and allowing for easy modification and swapping models seamlessly. Models in the pipeline were trained with a synthetic dataset and were adapted to be further evaluated and used with unmanned aerial vehicles (UAVs) in real-world conditions. Thanks to the methods presented in the article, it is possible to obtain high accuracy in detecting buildings defects, segmenting constructions into their components and estimating their technical condition based on a single drone flight.&lt;/div&gt;&#13;
</style></abstract><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Bartosz Wójcik</style></author><author><style face="normal" font="default" size="100%">Mateusz Żarski</style></author><author><style face="normal" font="default" size="100%">Kamil Książek</style></author><author><style face="normal" font="default" size="100%">Jaroslaw Miszczak</style></author><author><style face="normal" font="default" size="100%">Mirosław Skibniewski</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">A deep learning method for hard-hat-wearing detection based on head center localization</style></title></titles><keywords/><dates><year><style face="normal" font="default" size="100%">2023</style></year><pub-dates><date><style face="normal" font="default" size="100%">10/2023</style></date></pub-dates></dates><secondary-title><style face="normal" font="default" size="100%">Bulletin of the Polish Academy of Sciences Technical Sciences</style></secondary-title><urls><style face="normal" font="default" size="100%">https://journals.pan.pl/dlibra/publication/147340/edition/128931/content</style></urls><electronic-resource-num><style face="normal" font="default" size="100%">10.24425/bpasts.2023.147340</style></electronic-resource-num><volume><style face="normal" font="default" size="100%">71 (EA)</style></volume><issue><style face="normal" font="default" size="100%">6</style></issue><abstract><style face="normal" font="default" size="100%">&lt;p&gt;In recent years, a lot of attention is paid to deep learning methods in the context of vision-based construction site safety systems. However, there is still more to be done to establish the relationship between supervised construction workers and their essential personal protective equipment, like hard hats. A deep learning method combining object detection, head center localization, and simple rule-based reasoning is proposed in this article. In tests, this solution surpassed the previous methods based on the relative bounding box position of different instances and direct detection of hard hat wearers and non-wearers. Achieving MS COCO style overall AP of 67.5% compared to 66.4% and 66.3% achieved by the approaches mentioned above, with class-specific AP for hard hat non-wearers of 64.1% compared to 63.0% and 60.3%. The results show that using deep learning methods with a humanly interpretable rule-based algorithm is better suited for detecting hard hat non-wearers.&lt;/p&gt;&#13;
</style></abstract><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Samuel Kessler</style></author><author><style face="normal" font="default" size="100%">Mateusz Ostaszewski</style></author><author><style face="normal" font="default" size="100%">Michał Bortkiewicz</style></author><author><style face="normal" font="default" size="100%">Mateusz Żarski</style></author><author><style face="normal" font="default" size="100%">Maciej Wołczyk</style></author><author><style face="normal" font="default" size="100%">Jack Parker-Holder</style></author><author><style face="normal" font="default" size="100%">Stephen Roberts</style></author><author><style face="normal" font="default" size="100%">Piotr Miłoś</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">The Effectiveness of World Models for Continual Reinforcement Learning</style></title></titles><keywords/><dates><year><style face="normal" font="default" size="100%">2023</style></year></dates><secondary-title><style face="normal" font="default" size="100%">Conference on Lifelong Learning Agents</style></secondary-title><urls><style face="normal" font="default" size="100%">https://lifelong-ml.cc/online_proceedings</style></urls><abstract><style face="normal" font="default" size="100%">&lt;p&gt;World models power some of the most efficient reinforcement learning algorithms. In this work, we showcase that they can be harnessed for continual learning – a situation when the agent faces changing environments. World models typically employ a replay buffer for training, which can be naturally extended to continual learning. We systematically study how different selective experience replay methods affect performance, forgetting, and transfer. We also provide recommendations regarding various modeling options for using world models. The best set of choices is called Continual-Dreamer, it is task-agnostic and utilizes the world model for continual exploration. Continual-Dreamer is sample efficient and outperforms state-of-the-art task-agnostic continual reinforcement learning methods on Minigrid and Minihack benchmarks.&lt;/p&gt;&#13;
</style></abstract><pub-location><style face="normal" font="default" size="100%">Montreal, Canada</style></pub-location><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Bartlomiej Blachowski</style></author><author><style face="normal" font="default" size="100%">Mariusz Ostrowski</style></author><author><style face="normal" font="default" size="100%">Mateusz Żarski</style></author><author><style face="normal" font="default" size="100%">Bartosz Wójcik</style></author><author><style face="normal" font="default" size="100%">Piotr Tauzowski</style></author><author><style face="normal" font="default" size="100%">Lukasz Jankowski</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">An Efficient Computer Vision-Based Method for Estimation of Dynamic Displacements in Spatial Truss Structures</style></title></titles><keywords/><dates><year><style face="normal" font="default" size="100%">2022</style></year><pub-dates><date><style face="normal" font="default" size="100%">06/2022</style></date></pub-dates></dates><secondary-title><style face="normal" font="default" size="100%">Workshop on Structural Health Monitoring</style></secondary-title><electronic-resource-num><style face="normal" font="default" size="100%">https://doi.org/10.1007/978-3-031-07258-1_49</style></electronic-resource-num><abstract><style face="normal" font="default" size="100%">&lt;p&gt;In the present study a comparison of frequently used computer vision (CV)-based methods for structural health monitoring of truss structures is shown. The attention is paid to template matching methods that can be classified into one of two groups: area-based and feature-based methods. Synthetic but realistic video is used in this study. Results of the comparison are reliable due to the fact that the exact displacements are known from the finite element model of the investigated structure. From the variety of tested CV methods, the Kanade–Lucas–Tomasi algorithm with FREAK-based repetitive correction outperforms the remaining tested methods in terms of the computation time with a negligibly greater estimation error.&lt;/p&gt;&#13;
</style></abstract><isbn><style face="normal" font="default" size="100%">978-3-031-07257-4</style></isbn><publisher><style face="normal" font="default" size="100%">Springer Link</style></publisher><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Mateusz Żarski</style></author><author><style face="normal" font="default" size="100%">Jaroslaw Miszczak</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Multi-Step Feature Fusion for Natural Disaster Damage Assessment on Satellite Images</style></title></titles><keywords/><dates><year><style face="normal" font="default" size="100%">2024</style></year><pub-dates><date><style face="normal" font="default" size="100%">09/2024</style></date></pub-dates></dates><secondary-title><style face="normal" font="default" size="100%">IEEE Access</style></secondary-title><electronic-resource-num><style face="normal" font="default" size="100%">10.1109/ACCESS.2024.3459424</style></electronic-resource-num><section><style face="normal" font="default" size="100%">140072 - 140081</style></section><abstract><style face="normal" font="default" size="100%">Quick and accurate assessment of the damage state of buildings after natural disasters is crucial for undertaking properly targeted rescue and subsequent recovery operations, which can have a major impact on the safety of victims and the cost of disaster recovery. The quality of such a process can be significantly improved by harnessing the potential of machine learning methods in computer vision. This paper presents a novel damage assessment method using an original multi-step feature fusion network for the classification of the damage state of buildings based on pre- and post-disaster large-scale satellite images. We introduce a novel convolutional neural network (CNN) module that performs feature fusion at multiple network levels between pre- and post-disaster images in the horizontal and vertical directions of CNN network. An additional network element – Fuse Module – was proposed to adapt any CNN model to analyze image pairs in the issue of pair classification. We use, open, large-scale datasets (IDA-BD and xView2) to verify, that the proposed method is suitable to improve on existing state-of-the-art architectures. We report over a 3 percentage point increase in the accuracy of the Vision Transformer model.</style></abstract><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Katarzyna Filus</style></author><author><style face="normal" font="default" size="100%">Michał Romaszewski</style></author><author><style face="normal" font="default" size="100%">Mateusz Żarski</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Semantic Depth Matters: Explaining Errors of Deep Vision Networks through Perceived Class Similarities</style></title></titles><keywords/><dates/><secondary-title><style face="normal" font="default" size="100%">arXiv preprint</style></secondary-title><urls><style face="normal" font="default" size="100%">arXiv:2504.09956</style></urls><electronic-resource-num><style face="normal" font="default" size="100%"> https://doi.org/10.48550/arXiv.2504.09956</style></electronic-resource-num><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Mateusz Żarski</style></author><author><style face="normal" font="default" size="100%">Sławomir Nowaczyk</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Balancing Performance and Scalability of Demand Forecasting ML Models</style></title></titles><keywords/><dates><year><style face="normal" font="default" size="100%">2025</style></year><pub-dates><date><style face="normal" font="default" size="100%">05/2025</style></date></pub-dates></dates><secondary-title><style face="normal" font="default" size="100%">Intelligent Data Analysis XXIII [IDA]</style></secondary-title><urls><style face="normal" font="default" size="100%">https://doi.org/10.1007/978-3-031-91398-3_10</style></urls><electronic-resource-num><style face="normal" font="default" size="100%">10.1007/978-3-031-91398-3_10</style></electronic-resource-num><abstract><style face="normal" font="default" size="100%">&lt;p&gt;Balancing performance and scalability is a major concern when developing robust ML models for diverse, big-data scenarios, such as predicting demand for a number of products across multiple locations. The two mutually opposite approaches are to use a single ML model for maximizing scalability, often at the expense of performance, or to use a specialized model for each specific use case, which is often prohibitive in terms of computational costs. In this paper, we propose to balance those two approaches using our methods of model clustering and grouping. We achieve the performance level of a single use-case model while preserving the global scalability of the solution. In our experiments, we use a publicly available demand forecasting dataset as a use case. We develop and train baseline shallow ML models and DL models for both maximizing performance and scalability. Then, we showcase a desirable balance that can be achieved using our proposed methods, one that outperforms both shallow ML and specific use-case models.&lt;/p&gt;&#13;
</style></abstract><isbn><style face="normal" font="default" size="100%">978-3-031-91398-3</style></isbn><publisher><style face="normal" font="default" size="100%">Springer Nature</style></publisher><pub-location><style face="normal" font="default" size="100%">Konstanz, Germany</style></pub-location><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Katarzyna Filus</style></author><author><style face="normal" font="default" size="100%">Mateusz Żarski</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Beyond Accuracy: Uncovering the Role of Similarity Perception and its Alignment with Semantics in Supervised Learning</style></title></titles><keywords/><dates/><secondary-title><style face="normal" font="default" size="100%">arXiv preprint</style></secondary-title><urls><style face="normal" font="default" size="100%">https://arxiv.org/abs/2505.21338</style></urls><electronic-resource-num><style face="normal" font="default" size="100%">https://arxiv.org/abs/2505.21338</style></electronic-resource-num><abstract><style face="normal" font="default" size="100%">&lt;p&gt;Similarity manifests in various forms, including semantic similarity that is particularly important, serving as an approximation of human object categorization based on e.g. shared functionalities and evolutionary traits. It also offers practical advantages in computational modeling via lexical structures such as WordNet with constant and interpretable similarity. As in the domain of deep vision, there is still not enough focus on the phenomena regarding the similarity perception emergence. We introduce Deep Similarity Inspector (DSI) -- a systematic framework to inspect how deep vision networks develop their similarity perception and its alignment with semantic similarity. Our experiments show that both Convolutional Neural Networks' (CNNs) and Vision Transformers' (ViTs) develop a rich similarity perception during training with 3 phases (initial similarity surge, refinement, stabilization), with clear differences between CNNs and ViTs. Besides the gradual mistakes elimination, the mistakes refinement phenomenon can be observed.&lt;/p&gt;&#13;
</style></abstract><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Mateusz Żarski</style></author><author><style face="normal" font="default" size="100%">Sławomir Nowaczyk</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Neuroplasticity-inspired dynamic ANNs for multi-task demand forecasting</style></title></titles><keywords/><dates><year><style face="normal" font="default" size="100%">2026</style></year><pub-dates><date><style face="normal" font="default" size="100%">07/2026</style></date></pub-dates></dates><secondary-title><style face="normal" font="default" size="100%">IEEE Access</style></secondary-title><urls><style face="normal" font="default" size="100%">https://ieeexplore.ieee.org/abstract/document/11592373</style></urls><electronic-resource-num><style face="normal" font="default" size="100%">10.1109/ACCESS.2026.3709101</style></electronic-resource-num><abstract><style face="normal" font="default" size="100%">&lt;p&gt;This paper introduces a novel approach to Dynamic Artificial Neural Networks (D-ANNs) for multi-task demand forecasting called Neuroplastic Multi-Task Network (NMT-Net). Unlike conventional methods focusing on inference-time dynamics or computational efficiency, our proposed method enables structural adaptability of the computational graph during training, inspired by neuroplasticity as seen in biological systems. Each new task triggers a dynamic network adaptation, including similarity-based task identification and selective training of candidate ANN heads, which are then assessed and integrated into the model based on their performance. We evaluated our framework using three real-world multi-task demand forecasting datasets from Kaggle. We demonstrated its superior performance and consistency, achieving lower RMSE and standard deviation compared to traditional baselines and state-of-the-art multi-task learning methods. NMT-Net offers a scalable, adaptable solution for multi-task and continual learning in time series prediction. The complete code for NMT-Net is available from our GitHub repository.&lt;/p&gt;&#13;
</style></abstract><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Mariusz Ostrowski</style></author><author><style face="normal" font="default" size="100%">Bartlomiej Blachowski</style></author><author><style face="normal" font="default" size="100%">Bartosz Wójcik</style></author><author><style face="normal" font="default" size="100%">Mateusz Żarski</style></author><author><style face="normal" font="default" size="100%">Piotr Tauzowski</style></author><author><style face="normal" font="default" size="100%">Łukasz Jankowski</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">A framework for computer vision-based health monitoring of a truss structure subjected to unknown excitations</style></title></titles><keywords/><dates><year><style face="normal" font="default" size="100%">2023</style></year><pub-dates><date><style face="normal" font="default" size="100%">01/2023</style></date></pub-dates></dates><secondary-title><style face="normal" font="default" size="100%">Earthquake Engineering and Engineering Vibration</style></secondary-title><urls><style face="normal" font="default" size="100%">https://link.springer.com/article/10.1007/s11803-023-2154-3</style></urls><electronic-resource-num><style face="normal" font="default" size="100%">10.1007/s11803-023-2154-3</style></electronic-resource-num><abstract><style face="normal" font="default" size="100%">&lt;p&gt;Computer vision (CV) methods for measurement of structural vibration are less expensive, and their application is more straightforward than methods based on sensors that measure physical quantities at particular points of a structure. However, CV methods produce significantly more measurement errors. Thus, computer vision-based structural health monitoring (CVSHM) requires appropriate methods of damage assessment that are robust with respect to highly contaminated measurement data. In this paper a complete CVSHM framework is proposed, and three damage assessment methods are tested. The first is the augmented inverse estimate (AIE), proposed by Peng et al. in 2021. This method is designed to work with highly contaminated measurement data, but it fails with a large noise provided by CV measurement. The second method, as proposed in this paper, is based on the AIE, but it introduces a weighting matrix that enhances the conditioning of the problem. The third method, also proposed in this paper, introduces additional constraints in the optimization process; these constraints ensure that the stiff ness of structural elements can only decrease. Both proposed methods perform better than the original AIE. The latter of the two proposed methods gives the best results, and it is robust with respect to the selected coefficients, as required by the algorithm.&lt;/p&gt;&#13;
</style></abstract><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>13</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Anna Zawadzka</style></author><author><style face="normal" font="default" size="100%">Przemysław Głomb</style></author><author><style face="normal" font="default" size="100%">Mateusz Żarski</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Development of an effective method for detecting small buildings in satellite images</style></title></titles><keywords/><dates><year><style face="normal" font="default" size="100%">2025</style></year></dates><secondary-title><style face="normal" font="default" size="100%">PP-RAI 2025</style></secondary-title><abstract><style face="normal" font="default" size="100%">&lt;p&gt;Detecting and monitoring small-scale buildings is a critical challenge in various sectors and can be crucial for various important tasks. Buildings considered small are those with a footprint smaller than 10 × 10 meters, a definition justified by the resolution of Sentinel-2 images, which is 10 meters at best. Examples of tasks for which small building detection is essential include assessment and monitoring of damage caused by natural disasters or war, identification of illegal settlements, detecting new buildings in key military areas, and identification of structures in protected areas. Regrettably, widely available satellite imagery, such as Sentinel-2, provides very limited spatial resolution, making it impossible to efficiently detect small structures. Despite its importance, this issue remains unexplored, with very limited research directly concerning building segmentation and detecting small structures. Traditional segmentation and classification methods exhibit severe limitations, particularly due to small buildings frequently being positioned at pixel boundaries, essentially occupying an insignificant fraction of the original pixel. Additionally, in the context of buildings in complex environments (e.g., surrounded by vegetation or shadows), popular methods such as U-Net with ResNet often fail to deliver reliable results. In this study, we propose a novel approach to this issue by integrating a state-of-the-art object detection model with a deep-learning-based super-resolution network.&lt;/p&gt;&#13;
</style></abstract><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Anna Zawadzka</style></author><author><style face="normal" font="default" size="100%">Mateusz Żarski</style></author><author><style face="normal" font="default" size="100%">Kamil Drejer</style></author><author><style face="normal" font="default" size="100%">Przemysław Głomb</style></author><author><style face="normal" font="default" size="100%">Michał Romaszewski</style></author><author><style face="normal" font="default" size="100%">Michał Cholewa</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%"> Map-Guided Cross-Training for Building Detection</style></title></titles><keywords/><dates><year><style face="normal" font="default" size="100%">2026</style></year></dates><secondary-title><style face="normal" font="default" size="100%">Geoscience and Remote Sensing Letters</style></secondary-title><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Katarzyna Filus</style></author><author><style face="normal" font="default" size="100%">Mateusz Żarski</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Inspecting Training Dynamics of Similarity Development in Supervised Vision Networks </style></title></titles><keywords/><dates><year><style face="normal" font="default" size="100%">2026</style></year></dates><secondary-title><style face="normal" font="default" size="100%">European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases</style></secondary-title></record></records></xml>
