| 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 | 26 | 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 | 23 | 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 |
| 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 | 15 | 2023 |
| 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 | 11 | 2020 |
| 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 | 8 | 2022 |
| 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 | 8 | 2019 |
| 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 | 7 | 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 | 6 | 2021 |
| Energy efficiency for IoT A Luntovskyy, B Shubyn Reliability Engineering and Computational Intelligence, 199-215, 2021 | 6 | 2021 |
| 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 | 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 |
| 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 | 4 | 2021 |
| Blockchain-based network functions virtualization for 5G network slicing T Maksymyuk, V Andrushchak, S Dumych, B Shubyn, BUG Gabriel, ... Acta Electrotechnica et Informatica 20 (4), 54-59, 2020 | 4 | 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 | 3 | 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 | 3 | 2021 |
| Advanced architectures for IoT scenarios A Luntovskyy, B Shubyn 2020 5th International Conference on Smart and Sustainable Technologies …, 2020 | 2 | 2020 |
| 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 | 1 | 2023 |
| Resource Consumption of Federated Learning Approach Applied on Edge IoT Devices in the AGV Environment B Shubyn, P Grzesik, T Maksymyuk, D Kostrzewa, P Benecki, JH Syu, ... International Conference on Computational Science, 492-504, 2023 | 1 | 2023 |
| Federated Learning techniques for 5G mobile networks B Shubyn, D Mrozek, L Fabry, T Maksymyuk, EM Amhoud, J Gazda 2022 IEEE 16th International Conference on Advanced Trends in …, 2022 | 1 | 2022 |
Taras MaksymyukPhD,Lviv Polytechnic National UniversityVerified email at lp.edu.ua
