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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%">Pawel Foremski</style></author><author><style face="normal" font="default" size="100%">Michał Gorawski</style></author><author><style face="normal" font="default" size="100%">Krzysztof Grochla</style></author><author><style face="normal" font="default" size="100%">Konrad Połys</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Energy-Efficient Crowdsensing of Human Mobility and Signal Levels in Cellular Networks</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%">9</style></date></pub-dates></dates><secondary-title><style face="normal" font="default" size="100%">Sensors</style></secondary-title><volume><style face="normal" font="default" size="100%">15</style></volume><number><style face="normal" font="default" size="100%">9</style></number><abstract><style face="normal" font="default" size="100%">The paper presents a practical application of the crowdsensing idea to measure human mobility and signal coverage in cellular networks. Currently, virtually everyone is carrying a mobile phone, which may be used as a sensor to gather research data by measuring, e.g., human mobility and radio signal levels. However, many users are unwilling to participate in crowdsensing experiments. This work begins with the analysis of the barriers for engaging people in crowdsensing. A survey showed that people who agree to participate in crowdsensing expect a minimum impact on their battery lifetime and phone usage habits. To address these requirements, this paper proposes an application for measuring the location and signal strength data based on energy-efficient GPS tracking, which allows one to perform the measurements of human mobility and radio signal levels with minimum energy utilization and without any engagement of the user. The method described combines measurements from the accelerometer with effective management of the GPS to monitor the user mobility with the decrease in battery lifetime by approximately 20%. To show the applicability of the proposed platform, the sample results of signal level distribution and coverage maps gathered for an LTE network and representing human mobility are shown.</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%">Konrad Połys</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Wpływ wielkości histerezy przełączeń na przepustowość w sieci LTE</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%">Studia Informatica</style></secondary-title><pages><style face="normal" font="default" size="100%">53–62</style></pages><volume><style face="normal" font="default" size="100%">35</style></volume><number><style face="normal" font="default" size="100%">3</style></number><abstract><style face="normal" font="default" size="100%">W sieciach mobilnych użytkownicy są przełączani pomiędzy stacjami bazowymi na podstawie siły sygnału lub innych metryk jakości transmisji. W celu optymalizacji przełączeń pomiędzy stacjami bazowymi często wykorzystywana jest histereza. Pozwala ona ograniczyć liczę niepotrzebnych, bardzo krótkich przełączeń. W artykule zbadano wpływ wielkości histerezy na liczbę przełączeń oraz na osiąganą przepustowość połączenia użytkownika sieci LTE wyznaczaną na podstawie poziomu sygnału. Wyniki przeprowadzonych symulacji wskazują, że odpowiedni margines przełączenia znacznie zmniejsza liczbę niepotrzebnych przełączeń, a jednocześnie praktycznie nie zmniejsza przepustowości.</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%">Konrad Połys</style></author><author><style face="normal" font="default" size="100%">Krzysztof Grochla</style></author><author><style face="normal" font="default" size="100%">Piotr Gaj</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Mobility robustness in LTE based on automatic neighbor relation table.</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%">Computer Networks</style></secondary-title><pages><style face="normal" font="default" size="100%">232–241</style></pages><abstract><style face="normal" font="default" size="100%">We evaluate the effect of automatic updates to the LTE Neighbor Relation Table (NRT) to optimize the efficiency of handovers in the network. We propose an algorithm which monitors the handovers within the LTE network and detects events when the procedure was started to early (handover to early) or too late (handover too late). Basing on the observed statistics in Operation and Maintenance server (OAM) the proposed algorithm updates the NRT to maximize the network throughput and minimize the probability of loss of connectivity. Performed simulations show that correctly forbidden handovers can reduce number of unnecessary signaling, reduce risk of fail during handover and reduce the time required to perform the handovers.</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%">22nd International Conference, CN 2015 Brunów, Poland, June 16-19, 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%">Krzysztof Grochla</style></author><author><style face="normal" font="default" size="100%">Konrad Połys</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Using Kalman Filters on GPS Tracks</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%">663–672</style></pages><publisher><style face="normal" font="default" size="100%">Springer</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%">Krzysztof Grochla</style></author><author><style face="normal" font="default" size="100%">Konrad Połys</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">{Dobór parametrów mechanizmu zwielokrotnienia wykorzystania częstotliwości SFR w sieciach LTE}</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%">Materiały konferencyjne Krajowego Sympozjum Telekomunikacji i Teleinformatyki</style></secondary-title><publisher><style face="normal" font="default" size="100%">KSTiT</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%">Krzysztof Grochla</style></author><author><style face="normal" font="default" size="100%">Michał Gorawski</style></author><author><style face="normal" font="default" size="100%">Konrad Połys</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Comparison of Measurements and Simulation Model of Indoor Signal Level Variation in LTE Networks</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 8th International Conference on Simulation Tools and Techniques</style></secondary-title><urls><style face="normal" font="default" size="100%">http://dx.doi.org/10.4108/eai.24-8-2015.2261125</style></urls><electronic-resource-num><style face="normal" font="default" size="100%">10.4108/eai.24-8-2015.2261125</style></electronic-resource-num><isbn><style face="normal" font="default" size="100%">978-1-63190-079-2</style></isbn><publisher><style face="normal" font="default" size="100%">ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering)</style></publisher><pub-location><style face="normal" font="default" size="100%">ICST, Brussels, Belgium, Belgium</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 Grochla</style></author><author><style face="normal" font="default" size="100%">Konrad Połys</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Subcarrier Allocation for LTE Soft Frequency Reuse Based on Graph Colouring</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 Sciences and Systems 2015</style></secondary-title><pages><style face="normal" font="default" size="100%">447–454</style></pages><publisher><style face="normal" font="default" size="100%">Springer</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%">Michał Gorawski</style></author><author><style face="normal" font="default" size="100%">Krzysztof Grochla</style></author><author><style face="normal" font="default" size="100%">Konrad Połys</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">{Variability of LTE Signal in Indoor Environment}</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%">Internet in the Information Society, X Scientific Conference</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>5</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Francisco Barcelo-Arroyo</style></author><author><style face="normal" font="default" size="100%">Michał Gorawski</style></author><author><style face="normal" font="default" size="100%">Krzysztof Grochla</style></author><author><style face="normal" font="default" size="100%">Israel Martín-Escalona</style></author><author><style face="normal" font="default" size="100%">Konrad Połys</style></author><author><style face="normal" font="default" size="100%">Andrea Ribeiro</style></author><author><style face="normal" font="default" size="100%">Rute Sofia</style></author><author><style face="normal" font="default" size="100%">Enrica Zola</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">New Trends in Mobility Modelling and Handover Prediction</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%">Wireless Networking for Moving Objects</style></secondary-title><pages><style face="normal" font="default" size="100%">88–114</style></pages><publisher><style face="normal" font="default" size="100%">Springer</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%">Giovanni Giambene</style></author><author><style face="normal" font="default" size="100%">Tara Yahiya</style></author><author><style face="normal" font="default" size="100%">Van Le</style></author><author><style face="normal" font="default" size="100%">Krzysztof Grochla</style></author><author><style face="normal" font="default" size="100%">Konrad Połys</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">{Resource Management and Cell Planning in LTE Systems}</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%">Wireless Networking for Moving Objects</style></secondary-title><pages><style face="normal" font="default" size="100%">177–197</style></pages><publisher><style face="normal" font="default" size="100%">Springer</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%">Krzysztof Grochla</style></author><author><style face="normal" font="default" size="100%">Konrad Połys</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Simplied model of wireless network throughput changes resulting from client mobility</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%">Proceedings of SIMUTools 2014</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%">Krzysztof Grochla</style></author><author><style face="normal" font="default" size="100%">Konrad Połys</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Influence of the Handoff Threshold Hysteresis on Heterogeneous Wireless Network Performance</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%">Proceedings of 7th International Working Conference HET-NETs</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%">Krzysztof Grochla</style></author><author><style face="normal" font="default" size="100%">Konrad Połys</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Analiza wpływu mocy nadawania stacji bazowych na mechanizmy równoważenia obciążenia w sieciach LTE</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%">Materiały konferencyjne Krajowego Sympozjum Telekomunikacji i Teleinformatyki</style></secondary-title><publisher><style face="normal" font="default" size="100%">KSTiT</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%">Konrad Połys</style></author><author><style face="normal" font="default" size="100%">Krzysztof Grochla</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Model zmienności przepływności bitowej transmisji w sieciach LTE oparty o łańcuchy Markowa</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%">09/2017</style></date></pub-dates></dates><secondary-title><style face="normal" font="default" size="100%">Krajowe Sympozjum Telekomunikacji i Teleinformatyki </style></secondary-title><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>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Konrad Połys</style></author><author><style face="normal" font="default" size="100%">Krzysztof Grochla</style></author><author><style face="normal" font="default" size="100%">Michał Gorawski</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">LTE Load Balancing with Tx Power Adjustment and the Real Life Mobility Model</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 Networks</style></secondary-title><abstract><style face="normal" font="default" size="100%">&lt;p&gt;The load balancing in the LTE and LTE-A networks allows usage of the radio resources more effectively to improve client satisfaction. The paper provides analysis of the influence of complex user mobility patterns on the load balancing algorithm. The simulation models are used to evaluate the number of unsatisfied clients depending on the mobility model used. Two mobility models are used: RLMM and Random Waypoint. The Tx Power Adjustment method is evaluated, which is based on reconfiguration of a LTE eNodeB TX Power and was proposed by authors in their previous papers. Method proved to be effective and fairly easy in implementation, and the evaluation through series of simulation shown up to 50{%} rise in clients satisfaction with upholding the total network efficiency.&lt;/p&gt;&#13;
</style></abstract><isbn><style face="normal" font="default" size="100%">978-3-319-92459-5</style></isbn><publisher><style face="normal" font="default" size="100%">Springer International Publishing</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%">Konrad Połys</style></author><author><style face="normal" font="default" size="100%">Krzysztof Grochla</style></author><author><style face="normal" font="default" size="100%">Michał Gorawski</style></author><author><style face="normal" font="default" size="100%">Artur Frankiewicz</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Accuracy of UWB Location Tracking Devices When on the Move</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%">06/2019</style></date></pub-dates></dates><secondary-title><style face="normal" font="default" size="100%">International Conference on Computer Networks</style></secondary-title><pages><style face="normal" font="default" size="100%">233-241</style></pages><volume><style face="normal" font="default" size="100%">International Conference on Computer Networks</style></volume><publisher><style face="normal" font="default" size="100%">Springer</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 Grochla</style></author><author><style face="normal" font="default" size="100%">Rafał Marjasz</style></author><author><style face="normal" font="default" size="100%">Konrad Połys</style></author><author><style face="normal" font="default" size="100%">Anna Strzoda</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Kolizje pakietów w sieciach LoRa w zastosowaniach smart city</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%">Przegląd Telekomunikacyjny+ Wiadomości Telekomunikacyjne</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%">Krzysztof Grochla</style></author><author><style face="normal" font="default" size="100%">Konrad Połys</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Heuristic Algorithm for Gateway Location Selection in Large Scale LoRa Networks</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%">ACM International Wireless Communications and Mobile Computing Conference</style></secondary-title><urls><style face="normal" font="default" size="100%">https://ieeexplore.ieee.org/abstract/document/9148435</style></urls><electronic-resource-num><style face="normal" font="default" size="100%">10.1109/IWCMC48107.2020.9148435</style></electronic-resource-num><abstract><style face="normal" font="default" size="100%">&lt;p&gt;The LoRa networks allow building low-cost longrange networks. The selection of LoRa access point locations in large scale networks requires taking into consideration the spatial distribution of clients, radio signal propagation and the limitation of the number of devices served by a single point of access. We propose a heuristic algorithm for the selection of access point locations within for a given set of candidate locations, based on gradient optimization. The proposed method allows selecting a sub-optimal set of locations which provide full coverage and take into consideration the capacity dimensioning based on spreading factor and expected channel utilization. The algorithm is evaluated in random topologies and in reallife scenario based on city-wide smart meters locations. The analysis shows that it outperforms a manual selection of access points locations, allowing to decrease the number of access points providing the full coverage.&lt;/p&gt;&#13;
</style></abstract><pub-location><style face="normal" font="default" size="100%">Cyprus</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>13</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Artur Frankiewicz</style></author><author><style face="normal" font="default" size="100%">Adam Glos</style></author><author><style face="normal" font="default" size="100%">Krzysztof Grochla</style></author><author><style face="normal" font="default" size="100%">Zbigniew Łaskarzewski</style></author><author><style face="normal" font="default" size="100%">Jaroslaw Miszczak</style></author><author><style face="normal" font="default" size="100%">Konrad Połys</style></author><author><style face="normal" font="default" size="100%">Przemysław Sadowski</style></author><author><style face="normal" font="default" size="100%">Anna Strzoda</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">LP WAN Gateway Location Selection Using Modified K-Dominating Set Algorithm</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%">01/2021</style></date></pub-dates></dates><secondary-title><style face="normal" font="default" size="100%">Symposium on Modelling, Analysis, and Simulation of Computer and Telecommunication Systems</style></secondary-title><urls><style face="normal" font="default" size="100%">https://arxiv.org/abs/2010.04553</style></urls><electronic-resource-num><style face="normal" font="default" size="100%">10.1007/978-3-030-68110-4_14</style></electronic-resource-num><abstract><style face="normal" font="default" size="100%">&lt;p&gt;The LP WAN networks use gateways or base stations to communicate with devices distributed on large distances, up&#160;to tens of kilometres. The selection of optimal gateway locations in wireless networks should allow providing the complete coverage for a given set of nodes, taking into account the limitations, such as the number of nodes served per access point or required redundancy. In this paper, we describe the problem of selecting the base stations in a network using the concept of &lt;em&gt;k&lt;/em&gt;-dominating set. In our model, we include information about the required redundancy and spectral efficiency. We consider the additional requirements on the resulting connections and provide the greedy algorithm for solving the problem. The algorithm is evaluated in randomly generated network topologies and using the coordinates of sample real smart metering networks.&lt;/p&gt;&#13;
</style></abstract><publisher><style face="normal" font="default" size="100%">Springer</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%">Rafał Marjasz</style></author><author><style face="normal" font="default" size="100%">Anna Strzoda</style></author><author><style face="normal" font="default" size="100%">Konrad Połys</style></author><author><style face="normal" font="default" size="100%">Krzysztof Grochla</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Mitigation of LoRa interferences via dynamic channel weights</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%">10/2021</style></date></pub-dates></dates><secondary-title><style face="normal" font="default" size="100%">European Simulation and Modelling Conference (formelly European Simulation Multiconference) - ESM </style></secondary-title><urls><style face="normal" font="default" size="100%">https://www.researchgate.net/publication/356041519_Mitigation_of_LORA_Interferences_via_Dynamic_Channel_Weights</style></urls><pages><style face="normal" font="default" size="100%">150-154</style></pages><abstract><style face="normal" font="default" size="100%">&lt;p&gt;The Low Power Wide Area Networks, such as LoRa (Long Range), allow communication over a large area with limited bandwidth and small data rates, using an unlicensed band. LoRa uses multiple channels, but the number of channels available is relatively narrow - e.g. 8 in most countries in Europe. The transmission is subject to interferences due to many other devices transmitting within the same frequencies. In this paper, we evaluate how strong the interferences' influence is by analysing the packet delivery rate in a large scale LoRa network. The measurements have been made over more than seven months and show noticeable variability in packet delivery rate per channel both in space and in time. We propose to estimate the scale of interferences through continuous observation of the number of delivered packets for every channel per LoRa gateway or per selected area. We also discuss how this estimation may mitigate the interferences by assigning the dynamic weights to the LoRa channel selection procedure. We created an algorithm that periodically updates the weights, and a simulation model to evaluate the algorithm. A significant improvement in the efficiency of package delivery is visible, from 12% to 49% less packet loss.&lt;/p&gt;&#13;
</style></abstract><publisher><style face="normal" font="default" size="100%">Eurosis</style></publisher><pub-location><style face="normal" font="default" size="100%">Rome</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%">Rafał Marjasz</style></author><author><style face="normal" font="default" size="100%">Konrad Połys</style></author><author><style face="normal" font="default" size="100%">Anna Strzoda</style></author><author><style face="normal" font="default" size="100%">Krzysztof Grochla</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Improving Delivery Ratio in LoRa Network</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%">Proceedings of the 19th ACM International Symposium on Mobility Management and Wireless Access</style></secondary-title><urls><style face="normal" font="default" size="100%">https://dl.acm.org/doi/10.1145/3479241.3486698?cid=99659913397</style></urls><electronic-resource-num><style face="normal" font="default" size="100%">10.1145/3479241.3486698</style></electronic-resource-num><abstract><style face="normal" font="default" size="100%">&lt;p&gt;The LoRa (Long Range) radio communication provides large coverage areas, low bandwidth, small data rates, and transmitting limited data sizes, with very low energy usage. Multiple transmission channels are used, but the number of channels available is fairly limited - e.g. 8 in most countries in Europe. The amount of interferences may be estimated by the continuous observation of the number of delivered packets and the received signal strength. We propose to aggregate and analyse those metrics per channel and geographical area. When the proportion of received packets per some of the areas decreases, it is subjected to heavier interferences than other parts of the network and should be used less intensively. Thus we propose to allocate the weights for each channel per geographic area and/or device, defining the probability of the channel usage. Furthermore, we created an algorithm that periodically updates the weights and a simulation model using OMNeT++, FloRa, taking into account possible packets collisions. The algorithm has been validated for both random and realistic network topologies. The simulation evaluations show a significant improvement in the package delivery efficiency, by almost 50% in scenarios with very high interference level simulated and by more than 13% in scenarios fed with real-life measurements of packet delivery probability changes in time.&lt;/p&gt;&#13;
</style></abstract><isbn><style face="normal" font="default" size="100%">9781450390798</style></isbn><publisher><style face="normal" font="default" size="100%">Association for Computing Machinery</style></publisher><pub-location><style face="normal" font="default" size="100%">New York, NY, 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>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Anna Strzoda</style></author><author><style face="normal" font="default" size="100%">Krzysztof Grochla</style></author><author><style face="normal" font="default" size="100%">Konrad Połys</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Variability of BLE Advertisement Packets Received Signal Strength and Delivery Probability in the Presence of Interferences</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%">ACM MSWIM 22 - The 25th International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems, DIVANET Symposium</style></secondary-title><urls><style face="normal" font="default" size="100%">https://dl.acm.org/doi/abs/10.1145/3551662.3560933</style></urls><electronic-resource-num><style face="normal" font="default" size="100%">10.1145/3551662.3560933</style></electronic-resource-num><abstract><style face="normal" font="default" size="100%">&lt;p&gt;The Bluetooth Low Energy (BLE) advertisement messages allow estimating the location and distance between mobile devices. We analyse how the signal level varies depending on interferences, distance and the orientation of the transmitting and receiving devices. To provide a representative BLE Received Signal Strength Index (RSSI) dataset, we present a series of experimental measurements, including different receiver antenna orientations for several distances. We analyse the signal level variability as a function of distance and angle in an indoor environment. Our measurements show that the mean RSSI value equals -65.5 dBm, -78.4 dBm, -84.1 dBm and -90.8 dBm for 1m, 5m, 10m, and 16m, respectively. The standard deviation changes from 5.7 dBm through 5.9 dBm, 4.5 dBm to 3.5 dBm for 1m, 5m, 10m, and 16m, respectively. We also investigate the influence of the interference, emulating environment in which devices actively transmit BLE signals with varying intensities; on average, at every 0ms (no additional signals), 4ms and 8ms. The experiments show that from 13% to 40% fewer packets are delivered per second in the presence of interferences. Nevertheless, the RSSI characteristics remain very similar regardless of the presence of emulated traffic or not.&lt;/p&gt;&#13;
</style></abstract><isbn><style face="normal" font="default" size="100%">9781450394826</style></isbn><publisher><style face="normal" font="default" size="100%">Association for Computing Machinery</style></publisher><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%">Michał Gorawski</style></author><author><style face="normal" font="default" size="100%">Konrad Połys</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Localization of mobile nodes in graphs using the True-range multilateration with node sorting (TriSort) approach in an indoor environment</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%">03/2023</style></date></pub-dates></dates><secondary-title><style face="normal" font="default" size="100%">24th IEEE International Conferences on High Performance Computing and Communications - HPCC-2022</style></secondary-title><urls><style face="normal" font="default" size="100%">https://ieeexplore.ieee.org/document/10074642</style></urls><electronic-resource-num><style face="normal" font="default" size="100%">10.1109/HPCC-DSS-SmartCity-DependSys57074.2022.00153</style></electronic-resource-num><abstract><style face="normal" font="default" size="100%">&lt;pre&gt;&#13;
Mobile device localization is still an actual research problem. In many cases, we have a lack in all the positions but there is enough data to calculate position with the use of the multilateration. Our research proves that the order in which we calculate the positions with multilateration matters. We consider a network with mobile and stationary devices which are represented in the form of a graph with calculated distances as edges. Our contribution to solving the problem of indoor localization is true-range multilateration with a node sorting approach (TriSort). We based our research on an existing problem of smartphone localization in an enclosed indoor space using the BLE connection. The proposed algorithm is evaluated in a simulator. The distances are calculated using the BLE signal level estimation. We use the Genetic Algorithm commonly used for such problems to assess our TriSort approach. We compare the results of both methods according to obtained errors and their processing times, showing that the proposed TriSort method provides a minimal decrease in accuracy compared to global optimization (below 14%), with almost four orders of magnitudes lower complexity.&lt;/pre&gt;&#13;
</style></abstract><publisher><style face="normal" font="default" size="100%">IEEE</style></publisher><pub-location><style face="normal" font="default" size="100%">Hainan, China</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%">Viacheslav Kovtun</style></author><author><style face="normal" font="default" size="100%">Krzysztof Grochla</style></author><author><style face="normal" font="default" size="100%">Konrad Połys</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Investigation of the Information Interaction of the Sensor Network end IoT Device and the Hub at the Transport Protocol Level</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%">11/2023</style></date></pub-dates></dates><secondary-title><style face="normal" font="default" size="100%">MDPI Electronics</style></secondary-title><urls><style face="normal" font="default" size="100%">https://www.mdpi.com/2079-9292/12/22/4662</style></urls><electronic-resource-num><style face="normal" font="default" size="100%">https://doi.org/10.3390/electronics12224662</style></electronic-resource-num><volume><style face="normal" font="default" size="100%">12</style></volume><issue><style face="normal" font="default" size="100%">22</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%">Viacheslav Kovtun</style></author><author><style face="normal" font="default" size="100%">Krzysztof Grochla</style></author><author><style face="normal" font="default" size="100%">Wojciech Kempa</style></author><author><style face="normal" font="default" size="100%">Konrad Połys</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Reliably Controlling Massive Traffic between a Sensor Network End Internet of Things Device Environment and a Hub Using Transmission Control Protocol Mechanisms</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%">12/2023</style></date></pub-dates></dates><secondary-title><style face="normal" font="default" size="100%">MDPI Electronics</style></secondary-title><urls><style face="normal" font="default" size="100%">https://www.mdpi.com/2079-9292/12/24/4920</style></urls><electronic-resource-num><style face="normal" font="default" size="100%">https://doi.org/10.3390/electronics12244920</style></electronic-resource-num><volume><style face="normal" font="default" size="100%">12</style></volume><issue><style face="normal" font="default" size="100%">24</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%">Viacheslav Kovtun</style></author><author><style face="normal" font="default" size="100%">Krzysztof Grochla</style></author><author><style face="normal" font="default" size="100%">Konrad Połys</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">The concept of network resource control of a 5G cluster focused on the smart city's critical infrastructure needs</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%">5/2024</style></date></pub-dates></dates><secondary-title><style face="normal" font="default" size="100%">Alexandria Engineering Journal</style></secondary-title><urls><style face="normal" font="default" size="100%">https://www.sciencedirect.com/science/article/pii/S1110016824002825</style></urls><electronic-resource-num><style face="normal" font="default" size="100%">https://doi.org/10.1016/j.aej.2024.03.038</style></electronic-resource-num><volume><style face="normal" font="default" size="100%">94</style></volume><section><style face="normal" font="default" size="100%">248</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%">Viacheslav Kovtun</style></author><author><style face="normal" font="default" size="100%">Oksana Kovtun</style></author><author><style face="normal" font="default" size="100%">Krzysztof Grochla</style></author><author><style face="normal" font="default" size="100%">Konrad Połys</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Assessment of Communication Resource Allocation by the Transmission Control Protocol for the Target Virtual Connection under Competitive Conditions</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%">3/2024</style></date></pub-dates></dates><secondary-title><style face="normal" font="default" size="100%">Electronics</style></secondary-title><urls><style face="normal" font="default" size="100%">https://www.mdpi.com/2079-9292/13/7/1180/pdf</style></urls><electronic-resource-num><style face="normal" font="default" size="100%">10.3390/electronics13071180</style></electronic-resource-num><volume><style face="normal" font="default" size="100%">13</style></volume><issue><style face="normal" font="default" size="100%">7</style></issue><section><style face="normal" font="default" size="100%">1180</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%">Rafał Marjasz</style></author><author><style face="normal" font="default" size="100%">Krzysztof Grochla</style></author><author><style face="normal" font="default" size="100%">Konrad Połys</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">A Comprehensive Algorithm for Vertical Positioning in Multi-Building Environments as an Advancement in Indoor Floor-Level Detection</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%">06/2024</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://www.nature.com/articles/s41598-024-64824-9</style></urls><electronic-resource-num><style face="normal" font="default" size="100%">https://doi.org/10.1038/s41598-024-64824-9</style></electronic-resource-num><volume><style face="normal" font="default" size="100%">14</style></volume><issue><style face="normal" font="default" size="100%">14034</style></issue><section><style face="normal" font="default" size="100%">1</style></section><abstract><style face="normal" font="default" size="100%">&lt;p&gt;The proliferation of smartphones has catalyzed diverse services, mainly focusing on indoor localization to determine users’ and devices’ positions within buildings. Despite decades of exploration, the seamless integration of wireless technologies in tracking devices and users has become pivotal in various sectors, including health, industry, disaster management, building operations, and surveillance. Extensive research in laboratory and industrial settings, particularly in wireless sensor networks and robotics, has informed indoor localization techniques. This paper, referencing surveys and original literature reviews, proposes an innovative indoor location system amalgamating GPS and barometer readings. GPS identifies entry through doors, while barometer readings facilitate accurate floor-level tracking. The integration promises continuous real-time location updates, enhancing security, navigation, and emergency response. Notably, the algorithm is infrastructure-independent, relying on the smartphone’s barometer, and versatile, detecting elevator travel when Wi-Fi AP or LTE signals are available. Results indicate high accuracy, with building entry exceeding 93%, elevator recognition achieving 75% sensitivity and 97% specificity, and floor change detection surpassing 95% sensitivity and nearly 98% specificity (which translates to nearly 97% accuracy). This comprehensive solution, emphasizing the critical role of precise vertical positioning, signifies an advancement in tracking within urban structures.&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%">Marzena Halama</style></author><author><style face="normal" font="default" size="100%">Sławomir Nowak</style></author><author><style face="normal" font="default" size="100%">Konrad Połys</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Semantic Orientation for Indoor Navigation System using Large Language 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%">2025</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://link.springer.com/article/10.1038/s41598-025-25281-0</style></urls><electronic-resource-num><style face="normal" font="default" size="100%">10.1038/s41598-025-25281-0</style></electronic-resource-num><abstract><style face="normal" font="default" size="100%">&lt;p&gt;Autonomous robots play an important role in modern indoor navigation, but existing systems often struggle with seamless human interaction and semantic understanding of environments. This paper presents an Artificial Intelligence (AI)-driven object recognition system enhanced by Large Language Models (LLMs), such as GPT-4 Vision and Gemini, to bridge this gap. Our approach combines vision-based mapping techniques with natural language processing and interactions to enable intuitive collaboration in solving navigation tasks. By leveraging multimodal input and vector space analysis, our system achieves enhanced object recognition, semantic embedding, and context-aware responses, setting a new standard for autonomous indoor navigation. This approach provides a novel framework for improving spatial understanding and dynamic interaction, making it suitable for complex indoor environments.&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%">Marzena Halama</style></author><author><style face="normal" font="default" size="100%">Konrad Połys</style></author><author><style face="normal" font="default" size="100%">Joanna Domańska</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Speech-based analysis of aggression in social content: resistance of Large Language Models to signal degradation</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%">2025</style></date></pub-dates></dates><secondary-title><style face="normal" font="default" size="100%">2025 IEEE International Conference on Big Data</style></secondary-title><abstract><style face="normal" font="default" size="100%">&lt;p&gt;Artificial Intelligence (AI) systems, including robotic assistants and voice interfaces, are increasingly present in public spaces such as airports, train stations, hospitals, and government offices, offering new opportunities to enhance user safety and comfort. Detecting aggression and hate speech in audio data from such locations is critical to protecting users and creating safe spaces. Previous approaches in this area have mainly relied on classification using classical Machine Learning (ML) methods and Deep Learning (DL) techniques, primarily focused on pure text analysis. However, most systems do not take into account real-world challenges such as background noise, incomplete utterances, or transcription errors resulting from automatic speech recognition. In this work, we propose a comprehensive approach that exploits the potential of Large Language Models (LLMs) to classify aggressive content in degraded audio transcriptions. We create a realistic test environment by converting tagged social media posts with offensive content into recordings with simulated noise and compare the performance of the models under different data quality conditions. Our research provides practical guidance on how to build more resilient and accessible voice moderation systems using LLM.&lt;/p&gt;&#13;
</style></abstract><publisher><style face="normal" font="default" size="100%">IEEE BigData 2025</style></publisher><pub-location><style face="normal" font="default" size="100%">Macau SAR, China</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%">Inna Skarga-Bandurova</style></author><author><style face="normal" font="default" size="100%">James Lambert</style></author><author><style face="normal" font="default" size="100%">Tetiana Biloborodova</style></author><author><style face="normal" font="default" size="100%">Saif Nabhani</style></author><author><style face="normal" font="default" size="100%">Tiana Kaleeva</style></author><author><style face="normal" font="default" size="100%">Andrii Davydiuk</style></author><author><style face="normal" font="default" size="100%">Volodymyr Artemchuk</style></author><author><style face="normal" font="default" size="100%">Konrad Połys</style></author><author><style face="normal" font="default" size="100%">Igor Linkov</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Developmental Goals and AI in the Context of Crises and Disasters</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%">Digital Technologies for Enhancing Resilience</style></secondary-title><urls><style face="normal" font="default" size="100%">https://ebooks.iospress.nl/volumearticle/76753</style></urls><electronic-resource-num><style face="normal" font="default" size="100%">10.3233/NICSP250018</style></electronic-resource-num><pages><style face="normal" font="default" size="100%">159-202</style></pages><volume><style face="normal" font="default" size="100%">67</style></volume><number><style face="normal" font="default" size="100%">NATO Science for Peace and Security Series - D: Information and Communication Security</style></number><section><style face="normal" font="default" size="100%">Section 2. Digital Systems and Operating Capacity</style></section><abstract><style face="normal" font="default" size="100%">&lt;p&gt;Artificial Intelligence (AI) holds significant promise for advancing peace, digital resilience, and sustainable development in countries experiencing conflict, crisis, or undergoing political transition. Grounded in the Sustainable Development Goals (SDGs), this chapter presents a framework for prioritizing SDGs across the phases of crisis (emergency response, stabilization, and long-term development) and demonstrates how AI and digital technologies can operationalize sustainable development even in the most adverse conditions. By shifting from a peace-time ideal to a crisis-informed implementation model, we can transform the SDGs from aspirational blueprints into tools for resilience, recovery, and transformation. We argue that effective AI-enabled resilience begins with robust foundational infrastructure and services, upon which increasingly sophisticated digital security and decision-support layers must be built. Beyond technical measures, we emphasize the need for strategic cross-sector alignment, inclusive governance, and international cooperation coupled with a culture of cybersecurity awareness and preparedness.&lt;/p&gt;&#13;
</style></abstract><publisher><style face="normal" font="default" size="100%">IOS Press</style></publisher><pub-location><style face="normal" font="default" size="100%">Amsterdam</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%">James Lambert</style></author><author><style face="normal" font="default" size="100%">Kelsey Stoddard</style></author><author><style face="normal" font="default" size="100%">Megan Marcellin</style></author><author><style face="normal" font="default" size="100%">Thomas Polmateer</style></author><author><style face="normal" font="default" size="100%">Tetiana Biloborodova</style></author><author><style face="normal" font="default" size="100%">Volodymyr Artemchuk</style></author><author><style face="normal" font="default" size="100%">Inna Skarga-Bandurova</style></author><author><style face="normal" font="default" size="100%">Jenny Laird</style></author><author><style face="normal" font="default" size="100%">Moshe Vardi</style></author><author><style face="normal" font="default" size="100%">Boyan Jekov</style></author><author><style face="normal" font="default" size="100%">Tiana Kaleeva</style></author><author><style face="normal" font="default" size="100%">Konrad Połys</style></author><author><style face="normal" font="default" size="100%">Petar Tsankov</style></author><author><style face="normal" font="default" size="100%">Thomas Welsh</style></author><author><style face="normal" font="default" size="100%">Emanuele Bellini</style></author><author><style face="normal" font="default" size="100%">Ernesto Damiani</style></author><author><style face="normal" font="default" size="100%">Andrii Davydiuk</style></author><author><style face="normal" font="default" size="100%">Benjamin Trump</style></author><author><style face="normal" font="default" size="100%">Igor Linkov</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Roles for AI/ML in Resilience of Cyber-Based Systems and Other Infrastructure: Working Group Summary</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%">Digital Technologies for Enhancing Resilience</style></secondary-title><urls><style face="normal" font="default" size="100%">https://ebooks.iospress.nl/volumearticle/76752</style></urls><electronic-resource-num><style face="normal" font="default" size="100%">10.3233/NICSP250017</style></electronic-resource-num><pages><style face="normal" font="default" size="100%">139 - 158</style></pages><volume><style face="normal" font="default" size="100%">67</style></volume><section><style face="normal" font="default" size="100%">Section 2. Digital Systems and Operating Capacity</style></section><publisher><style face="normal" font="default" size="100%">IOS Press</style></publisher><pub-location><style face="normal" font="default" size="100%">Amsterdam</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%">Marzena Halama</style></author><author><style face="normal" font="default" size="100%">Konrad Połys</style></author><author><style face="normal" font="default" size="100%">Joanna Domańska</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">AI-Assisted Zeolite Design through Retrieval-Augmented Scientific Language Models</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%">SCIENCE TECHNOLOGY ENGINEERING MATHEMATICS</style></secondary-title><abstract><style face="normal" font="default" size="100%">&lt;p style="border-style:none;line-height:normal;margin-bottom:.0001pt;text-align:justify;"&gt;&lt;span style="color:black;font-size:11.0pt;font-weight:normal;" lang="EN-US"&gt;Designing materials such as zeolites is a major challenge due to the wide range of possible structures and synthesis conditions. Furthermore, knowledge on this subject is widely scattered across numerous publications and experimental notes. Therefore, large language models (LLMs) represent a promising tool for building knowledge bases, supporting the analysis of scientific literature, although their responses may be incomplete or fallible. In addition, in the case of zeolites, the relationship between material properties and their topology is of crucial importance, which limits the effectiveness of approaches based solely on text. In this study, we investigate a Retrieval-Augmented Generation (RAG) approach extended with a multimodal component that combines textual and structural information.&lt;/span&gt;&lt;/p&gt;&lt;p style="border-style:none;line-height:normal;margin-bottom:.0001pt;text-align:justify;"&gt;&#160;&lt;/p&gt;&lt;p style="border-style:none;line-height:normal;margin-bottom:.0001pt;text-align:justify;"&gt;&#160;&lt;/p&gt;&lt;p style="border-style:none;line-height:normal;margin-bottom:.0001pt;text-align:justify;"&gt;&#160;&lt;/p&gt;</style></abstract><publisher><style face="normal" font="default" size="100%">2nd International Conference PUT STEM Day 2026: Book of Abstracts</style></publisher></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%">Marzena Halama</style></author><author><style face="normal" font="default" size="100%">Konrad Połys</style></author><author><style face="normal" font="default" size="100%">Sławomir Nowak</style></author><author><style face="normal" font="default" size="100%">Joanna Domańska</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">External Semantic Memory as a Cognitive Layer for Large Language Models</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%">PP-RAI 2026</style></secondary-title><publisher><style face="normal" font="default" size="100%">AGH University Press</style></publisher></record></records></xml>
