Federated learning for improved prediction of failures in autonomous guided vehicles B Shubyn, D Kostrzewa, P Grzesik, P Benecki, T Maksymyuk, ... Journal of Computational Science 68, 101956, 2023 | 37 | 2023 |
Deep learning based adaptive handover optimization for ultra-dense 5G mobile networks B Shubyn, N Lutsiv, O Syrotynskyi, R Kolodii 2020 IEEE 15th International Conference on Advanced Trends in …, 2020 | 32 | 2020 |
Intelligent handover management in 5G mobile networks based on recurrent neural networks B Shubyn, T Maksymyuk 2019 3rd International Conference on Advanced Information and Communications …, 2019 | 31 | 2019 |
Intelligent spectrum management in 5G mobile networks based on recurrent neural networks T Maksymyuk, L Han, S Larionov, B Shubyn, A Luntovskyy, M Klymash 2019 IEEE 15th International conference on the experience of designing and …, 2019 | 23 | 2019 |
Forecasting of energy consumption for anomaly detection in automated guided vehicles: Models and feature selection P Benecki, D Kostrzewa, P Grzesik, B Shubyn, D Mrozek 2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2022 | 16 | 2022 |
Federated learning for anomaly detection in industrial iot-enabled production environment supported by autonomous guided vehicles B Shubyn, D Mrozek, T Maksymyuk, V Sunderam, D Kostrzewa, P Grzesik, ... International Conference on Computational Science, 409-421, 2022 | 15 | 2022 |
5G slicing and handover scenarios: compulsoriness and machine learning A Luntovskyy, B Shubyn, T Maksymyuk, M Klymash International Conference Infocommunications–Present and Future, 223-255, 2020 | 12 | 2020 |
Highly-distributed systems based on micro-services and their construction paradigms A Luntovskyy, B Shubyn 2020 IEEE 15th International Conference on Advanced Trends in …, 2020 | 10 | 2020 |
Metaverse of Things in 6G era: an emerging fusion of IoT, XR, edge AI and blockchain technologies T Maksymyuk, J Gazda, B Shubyn, O Karpin, O Kapshii, O Urikova, ... IEEE lnternational Conference on Advanced Trends in Radioelectronics …, 2022 | 9 | 2022 |
Energy efficiency and security for IoT scenarios via WSN, RFID and NFC A Luntovskyy, T Zobjack, B Shubyn, M Klymash 2021 IEEE International Conference on Information and Telecommunication …, 2021 | 9 | 2021 |
Energy efficiency for IoT A Luntovskyy, B Shubyn Reliability Engineering and Computational Intelligence, 199-215, 2021 | 9 | 2021 |
From big data to smart data: the most effective approaches for data analytics A Luntovskyy, L Globa, B Shubyn Conference on Mathematical Control Theory, 23-40, 2019 | 9 | 2019 |
Ai-enabled blockchain framework for dynamic spectrum management in multi-operator 6g networks T Maksymyuk, J Gazda, M Liyanage, L Han, B Shubyn, B Strykhaliuk, ... Future Intent-Based Networking: On the QoS Robust and Energy Efficient …, 2021 | 6 | 2021 |
Blockchain-based network functions virtualization for 5G network slicing T Maksymyuk, V Andrushchak, S Dumych, B Shubyn, B Gabriel, J GAZDA Acta Electrotechnica et Informatica 20 (4), 54-59, 2020 | 6 | 2020 |
On-edge aggregation strategies over industrial data produced by Autonomous Guided Vehicles P Grzesik, P Benecki, D Kostrzewa, B Shubyn, D Mrozek International Conference on Computational Science, 458-471, 2022 | 5 | 2022 |
Information Security During Electronic Voting: Threats and Mechanisms for Ensuring M Buchyn, A Helesh, B Shubyn 2021 IEEE 4th International Conference on Advanced Information and …, 2021 | 4 | 2021 |
Dynamic System State Estimation with a Resilience to Observation Data Anomalies A Volovyk, Y Pyrih, O Urikova, A Masiuk, B Shubyn, T Maksymyuk Contemporary Mathematics, 2024 | 3 | 2024 |
Optimizing Telemetry Signal Influence for Power Consumption Prediction P Benecki, D Kostrzewa, P Grzesik, B Shubyn, D Mrozek Proceedings of the Companion Conference on Genetic and Evolutionary …, 2023 | 3 | 2023 |
Advanced architectures for IoT scenarios A Luntovskyy, B Shubyn 2020 5th International Conference on Smart and Sustainable Technologies …, 2020 | 3 | 2020 |
Towards detection of anomalies in automated guided vehicles based on telemetry data P Benecki, D Kostrzewa, M Drewniak, B Shubyn, P Grzesik, V Sunderam, ... International Conference on Computational Science, 192-207, 2024 | 2 | 2024 |