Publications

2025

• Zawadzki P.; Dziwoki G.; Kucharczyk M.; Machniewski J.; Sułek W.; Izydorczyk J.; Izydorczyk W.; Kłosowski P.; Dustor A.; Filipowski W.; Paszek K.; Zawadzka A.; Quantum Enabled Data Authentication Without Classical Control Interaction; Electronics; 2025
• Halama M.; Połys K.; Domańska J.; Speech-based analysis of aggression in social content: resistance of Large Language Models to signal degradation; 2025 IEEE International Conference on Big Data; 2025
• Kołodziej K.; Głomb P.; Zawadzka A.; Challenges associated with the integration of Large Multimodal Models for waste sorting; 6th Polish Conference on Artificial Intelligence (PP-RAI 2025); 2025
• Marek D.; Szyguła J.; Biernacki P.; Paszkuta M.; Domański A.; Szczygieł M.; Fojcik M.; Wojciechowski K.; Neural Tuning of Parameters in a Collision Avoidance Mechanism for Swarms of Drones; ACM MobiCom '25; 2025
• Filus K.; Domańska J.; How CNNs and ViTs perceive similarities between categories; European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD); 2025
• Śmierzchalski T.; Dziubyna A.; Jałowiecki K.; Mzaouali Z.; Pawela Ł.; Gardas B.; Rams M.; SpinGlassPEPS.jl: Tensor-network package for Ising-like optimization on quasi-two-dimensional graphs; SoftwareX; 2025
• Sarkar S.; Wójtowicz G.; Gardas B.; Rams M.; Zwolak M.; Approaching the scaling limit of transport through lattices with dephasing; The Journal of Chemical Physics; 2025
• Książek K.; Masarczyk W.; Głomb P.; Romaszewski M.; Buza K.; Sekuła P.; Cholewa M.; Kołodziej K.; Gorczyca P.; Piegza M.; Deep learning approach for automatic assessment of schizophrenia and bipolar disorder in patients using R-R intervals; PLOS Computational Biology; 2025
• Sekuła P.; He Q.; Sadabadi K.; Moscosso R.; Jacobs T.; Laan Z.; Franz M.; Cholewa M.; Vehicle-to-Infrastructure System Prototype for Intersection Safety; Applied Sciences; 2025
• Sobczak Ł.; Biernacki P.; Domańska J.; Visual Encoding Method for Semantic Mapping with Federated Learning Concept; MobiHoc '25: Proceedings of the Twenty-sixth International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing (ACM Symposium on Mobile Ad Hoc Networking and Computing); 2025
• Okoniewska M.; Sionkowski P.; Kruszewska N.; Błażejczyk K.; Domino K.; A Scalable and Automated Recurrence Plot Method for Detecting Climate Change: The Case of the UTCI Bioclimatic Index in Central Europe; IEEE Transactions on Geoscience and Remote Sensing; 2025
• Gupta M.; Romaszewski M.; Gawron P.; Potential of quantum machine learning for processing multispectral Earth observation data; Bulletin of the Polish Academy of Sciences Technical Sciences; 2025
• Kelesoglu N.; Halama M.; Strzoda A.; Enhancing LoRa-based Outdoor Localization Accuracy Using Machine Learning; IEEE Access; 2025
• Kuaban G.; Czachórski T.; Gelenbe E.; Czekalski P.; Time-Dependent Analysis of the Interaction Between Energy Harvesting, Leakage, and Consumption Processes in a Green IoT Device; IEEE Access ; 2025
• Zhang Z.; Han H.; Yan Z.; Gelenbe E.; A Survey on Cross-Shard Transaction Allocation Optimization and Processing Mechanisms; IEEE Communications Surveys and Tutorials; 2025
• Czekalski P.; Borowiecki M.; Pochopie´ B.; Kuaban G.; An Analysis and Implementation of the Switching Sequence Table Method; 29th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems; 2025
• Czekalski P.; Tokarz K.; Kuaban G.; Sell R.; Nikitenko A.; Berkolds K.; Lipka Ł.; Design and Implementation of a Next-Generation Remote Lab for IoT and Industry 4.0; 29th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems; 2025
• Macek W.; Deja M.; Pojda D.; Korpyś M.; Jiang C.; Lesiuk G.; Quantitative Techniques for Assessing Fatigue Damage After Failure; Book of Abstracts of the 3rd International Symposium on Risk Analysis and Safety of Complex Structures (September 11–12, 2025 in Wrocław, Poland); 2025
• Dziubyna A.; Śmierzchalski T.; Gardas B.; Rams M.; Mohseni M.; Limitations of tensor-network approaches for optimization and sampling: A comparison to quantum and classical Ising machines; Physical Review Applied; 2025
• Kuaban G.; Nkemeni V.; Czekalski P.; An Analytical Framework for Optimizing the Renewable Energy Dimensioning of Green IoT Systems in Pipeline Monitoring; Sensors; 2025
• Puchała Z.; Kukulski R.; Pawela Ł.; Quantum Probabilistic Error Correction Method; 2025
• Żarski M.; Nowaczyk S.; Balancing Performance and Scalability of Demand Forecasting ML Models; Intelligent Data Analysis XXIII [IDA]; 2025
• Sell R.; Czekalski P.; Tokarz K.; Kuaban G.; Nikitenko A.; Berkolds K.; Lipka L.; An international hands-on IoT education platform towards Industry; Proceedings of the Estonian Academy of Sciences; 2025
• Sekuła P.; Shayesteh N.; He Q.; Zahedian S.; Moscosso R.; Cholewa M.; Move Over Law Compliance Analysis Utilizing a Deep Learning Computer Vision Approach; Applied Sciences; 2025
• Kuaban G.; Nycz T.; Nycz M.; Czachórski T.; Czekalski P.; Modelling the Transient Evolution of Queues in Plugged-in Electric Vehicles(PEV) Fast Charging Stations; 25th International Conference on Computational Science; 2025