Zespół Systemów Multimedialnych

Zespół realizuje prace dotyczące kodowania, składowania i przesyłania informacji multimedialnych oraz integracji platform multimedialnych. Prace badawcze ogniskują się na kodowaniu obrazów statycznych i ruchomych dla zastosowań w systemach czasu rzeczywistego, w tym w transmisjach z gwarancją jakości usług w sieciach komputerowych i telekomunikacyjnych. Prowadzone są również prace nad strukturą multimedialnych baz danych, a w szczególności nad ich indeksowaniem i przeszukiwaniem. Wyniki prac są wykorzystywane do projektowania internetowych serwisów multimedialnych z różnymi typami usług (na żądanie, telekonferencyjne, itp.), tworzenia systemów elektronicznego nauczania oraz w dedykowanych, sprzętowych systemach czasu rzeczywistego.

Kierownik:

dr inż. Arkadiusz Sochan

Członkowie zespołu:

prof. dr hab. inż. Mirosław Skibniewski
dr hab. inż. Paweł Pławiak
dr hab. inż. Przemysław Głomb
dr Michał Cholewa
dr inż. Michał Romaszewski
mgr inż. Gabriel Usendiah
mgr Bartosz Grabowski
mgr Kamil Książek
Łukasz Zimny

2020

Masarczyk W, Głomb P, Grabowski B, Ostaszewski M. 2020. Effective Training of Deep Convolutional Neural Networks for Hyperspectral Image Classification through Artificial Labeling. Remote Sensing. 12(16)

Głomb P, Romaszewski M. 2020. Anomaly detection in hyperspectral remote sensing images. Hyperspectral Remote Sensing: Theory & Applications.

Pławiak P, Abdar M, Pławiak J, Makarenkov V, U Acharya R. 2020. DGHNL: A new deep genetic hierarchical network of learners for prediction of credit scoring. Elsevier, Information Sciences. 516:401-418.

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Wang L, Zhang P, Ma L, Cong X, Skibniewski MJ. 2020. Developing a corporate social responsibility framework for sustainable construction using partial least squares structural equation modeling. Technological and Economic Development of Economy. 26:186–212.

Samami M, Akbari E, Abdar M, Pławiak P, Nematzadeh H, Basiri MEhsan, Makarenkov V. 2020. A mixed solution-based high agreement filtering method for class noise detection in binary classification. Elsevier, Physica A: Statistical Mechanics and its Applications. :124219.

(5.51 MB)

Tuncer T, Ertam F, Dogan S, Aydemir E, Pławiak P. 2020. Ensemble residual network-based gender and activity recognition method with signals. Journal of Supercomputing. 76(2020):2119–2138.

(2.74 MB)

Nasarian E, Abdar M, Fahami MAmin, Alizadehsani R, Hussain S, Basiri MEhsan, Zomorodi-Moghadam M, Zhou X, Pławiak P, U. Acharya R et al.. 2020. Association between work-related features and coronary artery disease: A heterogeneous hybrid feature selection integrated with balancing approach. Elsevier, Pattern Recognition Letters. 133:33-40.

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Hammad M, Pławiak P, Wang K, Acharya URajendra. 2020. ResNet‐Attention model for human authentication using ECG signals. Wiley, Expert Systems. :e12547.

(2.75 MB)

Pan Y, Zhang L, Skibniewski MJ. 2020. Clustering of designers based on building information modeling event logs. Computer-Aided Civil and Infrastructure Engineering. 35(7)

Kempa WM, Książek K. 2020. On transient queue-size distribution in a finite-buffer model with threshold waking and early setup policy. Performance Evaluation. 140-141

Alizadehsani R, Roshanzamir M, Abdar M, Beykikhoshk A, Khosravi A, Nahavandi S, Pławiak P, San Tan R, U Acharya R. 2020. Hybrid genetic‐discretized algorithm to handle data uncertainty in diagnosing stenosis of coronary arteries. Wiley, Expert Systems.

(2.36 MB)

Chen Z-S, Zhang X, Pedrycz W, Wang X-J, Skibniewski MJ. 2020. Bid evaluation in civil construction under uncertainty: A two-stage LSP-ELECTRE III-based approach. Engineering Applications of Artificial Intelligence. 94:103835.

Liu H, Skibniewski MJ, Ju Q, Li J, Jiang H. 2020. BIM-enabled construction innovation through collaboration: a mixed-methods systematic review. Engineering, Construction and Architectural Management.

Żelasko D, Pławiak P, Kołodziej J. 2020. Machine learning techniques for transmission parameters classification in multi-agent managed network. 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGRID).

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Tuncer T, Dogan S, Abdar M, Pławiak P. 2020. A novel facial image recognition method based on perceptual hash using quintet triple binary pattern. Multimedia Tools and Applications. 79(39):29573-29593.

(1.69 MB)

Książek W, Hammad M, Pławiak P, U. Acharya R, Tadeusiewicz R. 2020. Development of novel ensemble model using stacking learning and evolutionary computation techniques for automated hepatocellular carcinoma detection. Biocybernetics and Biomedical Engineering. 40(4):1512-1524.

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Xiahou X, Yuan J, Xie H, Skibniewski MJ, Li Q. 2020. Exploring driving factors of smart city development under the physical-human society-cyber (PHC) space model. International Journal of Construction Management. :1–11.

Yao X, Wei H-H, Shohet IM, Skibniewski MJ. 2020. Assessment of Terrorism Risk to Critical Infrastructures: The Case of a Power-Supply Substation. Applied Sciences. 10:7162.

Książek K, Romaszewski M, Głomb P, Grabowski B, Cholewa M. 2020. Blood Stain Classification with Hyperspectral Imaging and Deep Neural Networks. Sensors. 20(Recent Advances in Multi- and Hyperspectral Image Analysis)

Domino M, Romaszewski M, Jasiński T, Maśko M. 2020. Comparison of the Surface Thermal Patterns of Horses and Donkeys in Infrared Thermography Images. Animals. 10(12):2201.

Zhang L, Yuan J, Xia N, Ning Y, Ma J, Skibniewski MJ. 2020. Measuring value-added-oriented BIM climate in construction projects: dimensions and indicators. Journal of Civil Engineering and Management. 26:800–818.

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2019

Cholewa M, Głomb P, Romaszewski M. 2019. A Spatial-Spectral Disagreement-Based Sample Selection With an Application to Hyperspectral Data Classification. IEEE Geoscience and Remote Sensing Letters. 16:467-471.

Książek K, Grochla K. 2019. Aggregation of GPS, WLAN, and BLE Localization Measurements for Mobile Devices in Simulated Environments. Sensors. 19

Zhou C, Chen R, Jiang S, Zhou Y, Ding L, Skibniewski MJ, Lin X. 2019. Human dynamics in near-miss accidents resulting from unsafe behavior of construction workers. Physica A: Statistical Mechanics and its Applications. 530:121495.

Cai S, Ma Z, Skibniewski MJ, Bao S. 2019. Construction automation and robotics for high-rise buildings over the past decades: A comprehensive review. Advanced Engineering Informatics. 42:100989.

Głomb P, Domino K, Romaszewski M, Cholewa M. 2019. Band selection with Higher Order Multivariate Cumulants for small target detection in hyperspectral images. PP-RAI'2019. :p.121.

Grabowski B, Głomb P, Romaszewski M, Ostaszewski M. 2019. Unsupervised deep learning approach to hyperspectral anomaly detection. PP-RAI'2019.

Li K, Luo H, Skibniewski MJ. 2019. A non-centralized adaptive method for dynamic planning of construction components storage areas. Advanced Engineering Informatics. 39:80-94.

Khan N, Ali AK, Skibniewski MJ, Lee DYeop, Park C. 2019. Excavation Safety Modeling Approach Using BIM and VPL. Advances in Civil Engineering. 2019

Zheng C, Yuan J, Li L, Skibniewski MJ. 2019. Process-Based Identification of Critical Factors for Residual Value Risk in China's Highway PPP Projects. Advances in Civil Engineering. 2019

Yuan J, Li L, Wang E, Skibniewski MJ. 2019. Examining sustainability indicators of space management in elderly Facilities—a case study in China. Journal of cleaner production. 208:144–159.

Pan Y, Zhang L, Wu X, Qin W, Skibniewski MJ. 2019. Modeling face reliability in tunneling: A copula approach. Computers and Geotechnics. 109:272–286.

Guo S, Ding L, Zhang Y, Skibniewski MJ, Liang K. 2019. Hybrid recommendation approach for behavior modification in the Chinese construction industry. Journal of Construction Engineering and Management. 145:04019035.

Yuan J, Li W, Xia B, Chen Y, Skibniewski MJ. 2019. Operation performance measurement of public rental housing delivery by PPPS with fuzzy-AHP comprehensive evaluation. International Journal of Strategic Property Management. 23:328–353.

Zhou C, Ding L, Zhou Y, Skibniewski MJ. 2019. Visibility graph analysis on time series of shield tunneling parameters based on complex network theory. Tunnelling and Underground Space Technology. 89:10–24.

Yuan J, Zhang L, Tan Y, Skibniewski MJ. 2019. Evaluating the regional social sustainability contribution of public-private partnerships in China: The development of an indicator system. Sustainable Development.

Yuan J, Ji W, Guo J, Skibniewski MJ. 2019. Simulation-based dynamic adjustments of prices and subsidies for transportation PPP projects based on stakeholders’ satisfaction. Transportation. 46:2309–2345.

Zhang L, Wu X, Liu W, Skibniewski MJ. 2019. Optimal Strategy to Mitigate Tunnel-Induced Settlement in Soft Soils: Simulation Approach. Journal of Performance of Constructed Facilities. 33:04019058.

Pan Y, Zhang L, Wu X, Zhang K, Skibniewski MJ. 2019. Structural health monitoring and assessment using wavelet packet energy spectrum. Safety Science. 120:652–665.

Kandala RNVPS, Dhuli R, Pławiak P, Naik GR, Moeinzadeh H, Gargiulo GD, Gunnam S. 2019. Towards Real-Time Heartbeat Classification: Evaluation of Nonlinear Morphological Features and Voting Method. MDPI, Sensors. 23(19):5079.

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2018

Głomb P, Romaszewski M, Cholewa M, Domino K. 2018. Application of hyperspectral imaging and Machine Learning methods for the detection of gunshot residue patterns. Forensic Science International. 290

Romaszewski M, Głomb P, Cholewa M. 2018. Adaptive, Hubness-Aware Nearest Neighbour Classifier with Application to Hyperspectral Data. Computer and Information Sciences.

Romaszewski M, Sochan A, Skabek K. 2018. Matrix and Tensor-Based Approximation of 3D Face Animations from Low-Cost Range Sensors. Computer and Information Sciences.

Grabowski B, Masarczyk W, Głomb P, Mendys A. 2018. Automatic pigment identification from hyperspectral data. Journal of Cultural Heritage. 31:1-12.

2017

Cholewa M, Gawron P, Głomb P, Kurzyk D. 2017. Quantum hidden Markov models based on transition operation matrices. Quantum Information Processing. 16:101.

Ju Q.Q., Ding J.Y., Skibniewski MJ. 2017. Optimization strategies to eliminate interface conflicts in complex study chains of construction projects. Journal of Civil Engineering and Management. 23(6):712-726.

Han Y, Skibniewski MJ. 2017. A Market Equilibrium Supply Chain Model for Supporting Self-Manufacturing or Outsourcin Decisions in Prefabricated Construction. Sustainability . 9(11):1-18.

Zhang L, Ding L, Wu X, Skibniewski MJ. 2017. An improved Dempster–Shafer approach to construction safety risk perception. Knowledge-Based Systems. 132:30-46.

Zhou C, Ding LY, Skibniewski MJ, Luo HB, Jiang SN. 2017. Characterizing time series of near-miss accidents in metro construction via complex network theory. Safety Science. 98:145-158.

Zhang L.M, Huang Y.H, Wu X.G, Skibniewski MJ. 2017. Risk-based estimate for operational safety in complex projects under uncertainty,. Applied Soft Computing. 54:108–120.

Yuan J.F, Zheng X.D, You J, Skibniewski MJ. 2017. Identifying Critical Factors Influencing the Rents of Public Rental Housing Delivery by PPPs: The Case of Nanjing. Sustainability. 9(3):1-22.

2016

Romaszewski M, Głomb P. 2016. Parameter Estimation for HOSVD-based Approximation of Temporally Coherent Mesh Sequences. Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications.

Gawron P, Cholewa M, Kara K. 2016. Rewolucja stanu - fantastyczne wprowadzenie do informatyki kwantowej. :128.

Romaszewski M, Głomb P, Cholewa M. 2016. Semi-supervised hyperspectral classification from a small number of training samples using a co-training approach. ISPRS Journal of Photogrammetry and Remote Sensing. 121:60-76.

Zhang L, Wu X, Qin Y, Skibniewski MJ, Liu W. 2016. Towards a Fuzzy Bayesian Network Based Approach for Safety Risk Analysis of Tunnel-Induced Pipeline Damage. Risk Analysis. 36:278–301.

Bae S-C, Jang W-S, Skibniewski MJ. 2016. Reliability performance of wireless sensor networks for civil infrastructure – Part II: prediction and verification. Journal of Civil Engineering and Management. 22:243-253.

Zhang L, Wu X, Ding L, Skibniewski MJ, Lu Y. 2016. Bim-Based Risk Identification System in tunnel construction. Journal of Civil Engineering and Management. 22:529-539.

Cholewa M, Głomb P. 2016. Two Stage SVM Classification for Hyperspectral Data. Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM.

Głomb P, Cholewa M. 2016. Performance of Interest Point Descriptors on Hyperspectral Images. Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: VISAPP.

Cholewa M, Sochan A. 2016. Multi-sensor dataset for testing merge of Hyperspectral, HD and 3D cloud information for image recognition.

2015

Domino K, Głomb P, Łaskarzewski Z.. 2015. Classification of LPG clients using the Hurst exponent and the correlation coeficient. Theoretical and Applied Informatics. 27(1):13–24.

Głomb P, Cholewa M. 2015. Experimental Evaluation of Selected Approaches to Covariance Matrix Regularization. Artificial Intelligence and Soft Computing. 9120:391-401.

Zhang LM, Wu XG, Chen QQ., Skibniewski MJ, Zhong JB. 2015. Developing a cloud model based risk assessment methodology for tunnel- induced damage to existing pipelines. Stochastic Environmental Research and Risk Assessment. 29(2):513-526.

Zhang LM, Wu XG, Skibniewski MJ, Fang WL, Deng QL. 2015. Conservation of historical buildings in tunneling environments: Case study of Wuhan Metro construction in China. Construction and Building Materials. 82:310-322.

Ding LI, Wu XG, Zhang LM, Skibniewski MJ. 2015. How to protect historical buildings against tunnel-induced damage: A case study in China. . Journal of Cultural Heritage. 16(6):904-911.

Wu XG, Lu Q, Zhang L, Skibniewski MJ, Wang YH. 2015. Prospective safety performance evaluation on construction sites. Accident Analysis & Prevention. 78:58-72.

Wu XG, Wang YH, Zhang LM, Ding LY, Skibniewski MJ, Zhong JB. 2015. A Dynamic Decision Approach for Risk Analysis in Complex Projects. Journal of Intelligent & Robotic Systems. 79(3-4):591-601.

Xianguo W, Huitao L, Limao Z, Skibniewski MJ, Qianli D, Jiaying T. 2015. A dynamic Bayesian network based approach to safety decision support in tunnel construction. Reliability Engineering and System Safety. 134:157–168.

Wu X.G., Jiang Z., Zhang L.M., Skibniewski MJ, Zhong J.B.. 2015. Dynamic risk analysis for adjacent buildings in tunneling environments: a Bayesian network based approach. Stochastic Enveronmental Research and Risk Assessment. 29:1447–1461.

Lu Y., Li Y., Skibniewski MJ, Wu Z., Wang R., Le Y.. 2015. Information and communication technology applications in architecture, engineering, and construction organizations: a 15 year review. Journal of Management in Engineering. 31

2014

Romaszewski M, Gawron P, Opozda S. 2014. Dimensionality reduction of dynamic animations using HO-SVD. Lecture Notes in Artificial Intelligence. 8467:757–768.

Głomb P, Sochan A. 2014. Surface Mixture Models for the Optimization of Object Boundary Representation. Artificial Intelligence and Soft Computing, Lecture Notes in Computer Science 8467. :703–714.

Romaszewski M, Głomb P, Gawron P. 2014. Natural hand gestures for human identification in a Human-Computer Interface. Image Processing Theory Tools and Applications (IPTA), 2014 4th International Conference on. :404–409.

Zhang L., Wu X., Chen Q., Skibniewski MJ, Hsu S.-C.. 2014. Towards a safety management approach for adjacent buildings in tunneling environments: Case study in China. Building and Environment. 75:222–235.

Ding L., Zhang L., Wu X., Skibniewski MJ, Qunzhou Y.. 2014. Safety management in tunnel construction: Case study of Wuhan metro construction in China. Safety Science. 62:8–15.

Zhang L., Skibniewski MJ, Wu X., Chen Y., Deng Q.. 2014. A probabilistic approach for safety risk analysis in metro construction. Safety Science. 63:8–17.

Zhang L., Wu X., Skibniewski MJ, Zhong J., Lu Y.. 2014. Bayesian-network-based safety risk analysis in construction project. Reliability Engineering and System Safety. 131:29–39.

Skibniewski MJ, Tserng H.-P., Ju S.-H., Feng C.-W., Lin C.-T., Han J.-Y., Weng K.-W., Hsu S.-C.. 2014. Web-based real time bridge scour monitoring system for disaster management.. Baltic Journal of Road and Bridge Engineering. 9:17–25.

Lu Y., Li Y., Skibniewski MJ, Wu Z., Wang R., Le Y.. 2014. Information and communication technology applications in architecture, engineering, and construction organizations: A 15-years review.. Journal of Management in Engineering. 31

Ghosh S., Lauren B., Skibniewski MJ, Sam N., Hoon K.J.. 2014. Organizational governance to integrate sustainability project: a case study.. Technological and Economic Development of Economy. 20:1–24.

Opozda S, Sochan A. 2014. The survey of subjective and objective method for quality assessment of 2D and 3D images. Theoretical and Applied Informatics. 26:39–67.

2013

Cholewa M, Głomb P, Opozda S, Romaszewski M, Sochan A, Kosiedowski M., Kuśmierek E., Bęben A., Krawiec P., Stroiński A.. 2013. Aplikacje Sieci Świadomej Treści. Inżynieria Internetu przyszłości część 2.

Cholewa M. 2013. Czołowe funkcje kuliste jako baza do aproksymacji sygnałów o ograniczonym paśmie.

Romaszewski M, Gawron P, Opozda S. 2013. Compression of animated 3D models using HO-SVD. arXiv:1310.1240.

Zhang L., Wu X., Ding L., Skibniewski MJ. 2013. A novel model for risk assessment of adjacent buildings in tunneling environments. Building and Environment. 65:185–194.

Zhang L., Wu X., Ding L., Skibniewski MJ. 2013. Decision support analysis for safety assurance in metro construction base on Fuzzy Bayesian Networks. Proceedings of the Creacive Construction 2013. :896–909.

Romaszewski M, Gawron P, Opozda S. 2013. Dimensionality Reduction of Dynamic Mesh Animations Using HO-SVD. Journal of Artificial Intelligence and Soft Computing Research. 3:277–289.

2012

Skabek K, Winiarczyk R, Sochan A. 2012. Human – Computer Systems Interaction: Backgrounds and Applications 2. Advances in Intelligent and Soft Computing. 98

Blachnik M., Głomb P. 2012. Do we need complex models for gestures? A comparison of data representation and preprocessing methods for hand gesture recognition Artificial Intelligence and Soft Computing Lecture Notes in Computer Science 7267. :477–485.

Grzech A, Juszczyszyn K, Świątek P, Mazurek C, Sochan A. 2012. Inżynieria Internetu Przyszłości część 1.

Sochan A, Winiarczyk R. 2012. Inżynieria Internetu Przyszłości część 1.

Kosiedowski M., Kuśmierek E., Stroiński A., Cholewa M, Głomb P, Opozda S, Romaszewski M, Sochan A, Bęben A., Krawiec P.. 2012. Aplikacje sieci świadomej treści. Przegląd telekomunikacyjny. :1491–1502.

Grzech A, Juszczyszyn K, Mazurek C., Sochan A, Świątek J.. 2012. Towards and Beyond Europe 2020 - the Significance of Future Internet for Regional Development.

Cholewa M, Głomb P. 2012. Estimation of the number of states for gesture recognition with Hidden Markov Models based on the number of critical points in time sequence. Pattern Recognition Letters.

Głomb P, Romaszewski M, Opozda S, Sochan A. 2012. Choosing and Modeling the Hand Gesture Database for a Natural User Interface. Gesture and Sign Language in Human-Computer Interaction and Embodied Communication.

2011

Romaszewski M, Głomb P. 2011. The Effect of Multiple Training Sequences on HMM Classification of Motion Capture Gesture Data. Computer Recognition Systems. 4:365–373.

Sochan A, Głomb P, Skabek K, Romaszewski M, Opozda S. 2011. Virtual Museum as an Example of 3D Content Distribution in the Architecture of a Future Internet. Computer Networks 2011. Communications in Computer and Information Science 160.. :459–464.

Gawron P, Głomb P, Miszczak J, Puchała Z. 2011. Eigengestures for natural human computer interface. Man-Machine Interactions 2. :49–56.

Romaszewski M, Gawron P, Głomb P. 2011. Towards a natural gesture interface: LDA-based gesture separability.

Sochan A, Winiarczyk R, Głowiak M., Idzikowski B., Stróżyk M.. 2011. Nowe media i Internet 3D. Przegląd telekomunikacyjny. :1029–1036.

Grzech A, Juszczyszyn K, Świątek P., Mazurek C., Sochan A. 2011. Aplikacje w Projekcie Inżynieria Internetu Przyszłości. Przegląd telekomunikacyjny. :982–989.

Winiarczyk R, Sochan A. 2011. Analiza wpływu metody zamiany sekwencji słów kodowych w modulacji EFM+ na tłumienie składowej stałej w sygnale wysokiej częstotliwości.

Cholewa M, Głomb P. 2011. Gesture data modeling and classification based on critical points approximation. Advances in Intelligent and Soft Computing, 2011, Volume 95, Computer Recognition Systems 4,. 95:365–373.

Głomb P, Romaszewski M, Opozda S, Sochan A. 2011. Choosing and modeling hand gesture database for natural user interface. GW 2011: the 9th International Gesture in Embodied Communication and Human-Computer InteractionWorkshop.

Głomb P, Romaszewski M, Sochan A, Opozda S. 2011. Unsupervised Parameter Selection for Gesture Recognition with Vector Quantization and Hidden Markov Models. Lecture Notes in Computer Science, Human-Computer Interaction – INTERACT. 6949

2010

Romaszewski M, Opozda S. 2010. Optimization of a Vector Quantizer's Quality for 3D Mesh Applications. Theoretical and Applied Informatics. 22:131–140.

Nowak S, Głomb P. 2010. REMOTE VIRTUAL REALITY: EXPERIMENTAL INVESTIGATIONSOF PROGRESSIVE 3D MESH TRANSMISSION IN IP NETWORKS.

Nowak S, Domańska J, Nowak M, Głomb P. 2010. Progressive 3D meshes transmission: traffic generating and simulation evaluation. Theoretical and Applied Informatics. 22:247–259.

Winiarczyk R, Sochan A. 2010. Metodyka detekcji zastosowania modulacji dwufazowej na nośnikach DVD+.

2009

Romaszewski M, Głomb P. 2009. 3D Mesh Approximation Using Vector Quantization. Advances in Soft Computing. 57/2009:71–78.

Romaszewski M, Opozda S, Głomb P. 2009. 3D Mesh Identification Using Random Walks and Hidden Markov Models. Image Processing & Communications Challenges. :302–308.

Domańska J, Głomb P, Kowalski P, Nowak S. 2009. Modeling of Internet 3D Traffic Using Hidden Markov Models. Advances in Intelligent and Soft Computing. 64

Grochla K, Sochan A. 2009. Adaptive Streaming of Stereographic Video. Computer Networks – Communications in Computer and Information Science, Springer. 39:87–94.

Głomb P, Nowak S. 2009. IMAGE CODING WITH CONTOURLET / WAVELET TRANSFORMS AND SPIHT ALGORITHM:AN EXPERIMENTAL STUDY. proc. of IMAGAPP 2009, International Conference on Imaging Theory and Applications, Lisboa, Portugal, 2009..

Głomb P. 2009. Detection of interest points on 3D data: extending the Harris operator. 6th International Conference on Computer Recognition Systems.

Switonski E., Tejszerska D., Gzik M., Wolanski W., Gzik-Zroska B., Mandera M., Głomb P. 2009. Interaktywna kinezyterapia dzieci z płaskostopiem. Aktualne Problemy Biomechaniki. :211–214.

Winiarczyk R, Sochan A. 2009. Metodyka detekcji wybranych technik kodowania informacji na nośnikach DVD.

Głomb P, Skabek K. 2009. Laboratory for the exploration of virtual 3D environments. Annual Report 2009. :57–59.

2008

Grochla K, Sochan A, Głomb P. 2008. Transmission of scalable video streams. Proceedings from the 4th Euro-NGI Workshop on New trends in network architectures and services.

Głomb P, Nowak S. 2008. Experimental rate distortion analysis of image coder with contourlet transform and SPIHT algorithm. Theoretical and Applied Informatics.

2007

Głomb P, Puchała Z, Sochan A. 2007. Context selection for efficient bit modeling of contourlet transform coefficients. Theoretical and Applied Informatics. 19:135–146.

Głomb P. 2007. Image Language Terminal Symbols from Feature Analysis. IEEE International Workshop on Imaging Systems and Techniques – IST.

Głomb P. 2007. Computer Recognition Systems 2.

2006

Głomb P, Grochla K. 2006. Representing single-link traffic quality with kernel PCA.

Głomb P. 2006. Artificial Intelligence and Soft Computing.

2005

Białecki T., Głomb P, Sochan A. 2005. Wysokowydajne sieci komputerowe - Zastosowanie i bezpieczeństwo.

Białecki T., Głomb P, Sochan A. 2005. Techniczne i społeczne problemy zastosowania Internetu.

Głomb P. 2005. Analysis of fGn and http requests traces using localized multiscale H parameter estimation. Symposium on Applications & The Internet.

Głomb P, Grochla K. 2005. Modeling Connection State with Kernel PCA. 2nd EuroNGI Workshop on New Trends in Modeling, Quantitative Methods and Measurements.