Zespół Modelowania, Oceny Efektywności i Bezpieczeństwa Systemów Komputerowych

• Nasereddin M.; Gelenbe E.; Parameter Sensitivity of AADRNN-Based Attack Detection; Submitted: 31st Symposium on Computers and Communications (IEEE ISCC 2026)
• Filus K.; Żarski M.; Beyond Accuracy: Uncovering the Role of Similarity Perception and its Alignment with Semantics in Supervised Learning; Submitted: arXiv preprint
• Filus K.; Romaszewski M.; Żarski M.; Semantic Depth Matters: Explaining Errors of Deep Vision Networks through Perceived Class Similarities; Submitted: arXiv preprint

2026

• Czachórski T.; Grochla K.; Pecka P.; Strzoda A.; Fourneau J.; Mokdad L.; Nycz M.; Nycz T.; The impact of CSMA on LoRaWAN gateways' performance in IoT networks; In Press: CCNC2026; 2026

• Gelenbe E.; Abdelrahman O.; Signalling Storms and Taylor’s Law; In Press: 33rd International Symposium on the Modeling, Analysis, and Simulation of Computer and Telecommunication Systems, Paris, France
• Gelenbe E.; Ren Q.; Yan Z.; A Probabilistic Dynamic Network Trust Model for IoT Systems with Lost Messages and Cyberattacks; In Press: 33rd International Symposium on the Modeling, Analysis, and Simulation of Computer and Telecommunication Systems, Paris, France
• Kuaban G.; Czachórski T.; Atmaca T.; Czekalski P.; Power models for O-RAN O-DU planning and optimisation; In Press: IEEE Consumer Communications and Networking Conference (CCNC 2026)
• Kuaban G.; Nkemeni V.; Czachórski T.; Czekalski P.; Djomadji E.; Dimensioning the renewable energy system of a Green Cellular Base Station Site; In Press: EAI/Springer Innovations in Communication and Computing
• Jaja M.; Nkemeni V.; Kuaban G.; Acha A.; Nwobodo O.; Djomadji E.; Tsafack P.; Brosselard P.; A Comprehensive Crop Recommendation System Lever- aging Internet of Things and Machine Learning; In Press: EAI/Springer Innovations in Communication and Computing

2026

• Czachórski T.; Queueing Theory and Diffusion Approximation with their Applications; Materials for Lectures at UPES Univerity Dehradun, India; 2026
• Kelesoglu N.; Sobczak Ł.; Domańska J.; CPU Utilization Forecasting in Large-Scale Cloud Clusters Using Gradient Boosting; 7th Polish Conference on Artificial Intelligence (PP-RAI'2026); 2026
• Kelesoglu N.; Sobczak Ł.; Domańska J.; When LLMs Speak ZigBee: Exploring Low-Latency and Reasoning Models for Network Traffic Generation; Scientific Reports; 2026

2025

• Halama M.; Domańska J.; Gancarczyk A.; Abdirakhimov M.; Tworzenie bazy danych zeolitów z użyciem LLM; 2025
• Halama M.; Optimization for Pre-trained CNNs; SCIENCE TECHNOLOGY ENGINEERING MATHEMATICS; 2025
• Osee K.; Nkemeni V.; Sone M.; Kuaban G.; A Hybrid Ensemble-Based QoE Prediction from QoS and User Satisfaction Data: A case study on Cameroon’s 3G/4G Mobile Networks; IEEE ACCESS; 2025
• Bergquist J.; Gelenbe E.; Nasereddin M.; Sigman K.; Mitigating massive access with Quasi-Deterministic Transmission: Experiments and stationary analysis; Performance Evaluation ; 2025
• Gelenbe E.; Nasereddin M.; Data Driven Optimum Cyberattack Mitigation; IEEE DSAA'25: Data Science and Advanced Analytics Conference, Birmingham, UK; 2025
• Kuaban G.; Czachórski T.; Atmaca T.; Czekalski P.; Analytical Power Efficiency Models for Open Radio Access Network (O-RAN); 33rd International Symposium on the Modeling, Analysis, and Simulation of Computer and Telecommunication System; 2025
• Kuaban G.; Czachórski T.; Gelenbe E.; Pecka P.; Czekalski P.; Energy Dynamics of Green IoT Nodes with Time-Varying Energy Harvesting, Leakage, and Consumption Patterns; 33rd International Symposium on the Modeling, Analysis, and Simulation of Computer and Telecommunication System; 2025
• Kuaban G.; Atmaca T.; Turgut Z.; Czachórski T.; Czekalski P.; Leveraging Packet Aggregation to Optimise QoS and Energy Trade-offs in 5G/6G Optical Fronthaul Networks; The 21st International Conference on Wireless and Mobile Computing, Networking and Communications.; 2025
• Filus K.; Pokuciński S.; SPHEREA: Synthetic dataset generation for equirectangular panoramas of home environments; Knowledge-Based Systems; 2025
• Biernacki P.; Ziębiński A.; The method of reflection-based marker detection and identification to ensure accurate AGV docking; Scientific Reports; 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
• 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