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Shubyn, Bohdan
22  results:
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1

Towards Detection of Anomalies in Automated Guided Vehicles..:

, In: Computational Science – ICCS 2024; Lecture Notes in Computer Science,
Benecki, Paweł ; Kostrzewa, Daniel ; Drewniak, Marek... - p. 192-207 , 2024
Link: https://doi.org/10.1007/..
 
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2

Enhancing Anomaly Detection in Automated Guided Vehicles th..:

, In: Proceedings of the Genetic and Evolutionary Computation Conference Companion,
Benecki, Pawel ; Kostrzewa, Daniel ; Grzesik, Piotr.. - p. 79-80 , 2024
Link: https://dl.acm.org/doi/1..
 
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3

Metaverse of Things in 6G Era: An Emerging Fusion of IoT, X..:

, In: Emerging Networking in the Digital Transformation Age; Lecture Notes in Electrical Engineering,
Maksymyuk, Taras ; Gazda, Juraj ; Shubyn, Bohdan... - p. 546-564 , 2023
Link: https://doi.org/10.1007/..
 
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4

Feature Engineering for Deep Learning-Based Anomaly Detecti..:

, In: 2023 IEEE 12th International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS),
Maksymyuk, Taras ; Lutsiv, Nazarii ; Shubyn, Bohdan.. - p. 1110-1113 , 2023
Link: https://doi.org/10.1109/..
 
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5

Effective Prediction of Energy Consumption in Automated Gui..:

, In: 2023 IEEE International Conference on Big Data (BigData),
Benecki, Pawel ; Kostrzewa, Daniel ; Grzesik, Piotr... - p. 5024-5030 , 2023
Link: https://doi.org/10.1109/..
 
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6

Resource Consumption of Federated Learning Approach Applied..:

, In: Computational Science – ICCS 2023; Lecture Notes in Computer Science,
Shubyn, Bohdan ; Grzesik, Piotr ; Maksymyuk, Taras... - p. 492-504 , 2023
Link: https://doi.org/10.1007/..
 
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7

Optimizing Telemetry Signal Influence for Power Consumption..:

, In: Proceedings of the Companion Conference on Genetic and Evolutionary Computation,
Benecki, Pawel ; Kostrzewa, Daniel ; Grzesik, Piotr.. - p. 51-52 , 2023
Link: https://dl.acm.org/doi/1..
 
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8

Federated Learning for improved prediction of failures in A..:

Shubyn, Bohdan ; Kostrzewa, Daniel ; Grzesik, Piotr...
Journal of Computational Science.  68 (2023)  - p. 101956 , 2023
Link: https://doi.org/10.1016/..
 
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9

Forecasting of Energy Consumption for Anomaly Detection in ..:

, In: 2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC),
Benecki, Pawel ; Kostrzewa, Daniel ; Grzesik, Piotr.. - p. 2073-2079 , 2022
Link: https://doi.org/10.1109/..
 
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10

On-Edge Aggregation Strategies over Industrial Data Produce..:

, In: Computational Science – ICCS 2022; Lecture Notes in Computer Science,
Grzesik, Piotr ; Benecki, Paweł ; Kostrzewa, Daniel.. - p. 458-471 , 2022
Link: https://doi.org/10.1007/..
 
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11

Federated Learning Techniques for 5G Mobile Networks:

, In: 2022 IEEE 16th International Conference on Advanced Trends in Radioelectronics, Telecommunications and Computer Engineering (TCSET),
Shubyn, Bohdan ; Mrozek, Dariusz ; Fabry, Ludvig... - p. 653-657 , 2022
Link: https://doi.org/10.1109/..
 
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12

Federated Learning for Anomaly Detection in Industrial IoT-..:

, In: Computational Science – ICCS 2022; Lecture Notes in Computer Science,
Shubyn, Bohdan ; Mrozek, Dariusz ; Maksymyuk, Taras... - p. 409-421 , 2022
Link: https://doi.org/10.1007/..
 
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13

5G Slicing and Handover Scenarios: Compulsoriness and Machi..:

, In: Current Trends in Communication and Information Technologies; Lecture Notes in Networks and Systems,
Luntovskyy, Andriy ; Shubyn, Bohdan ; Maksymyuk, Taras. - p. 223-255 , 2021
Link: https://doi.org/10.1007/..
 
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14

Energy Efficiency for IoT:

, In: Studies in Computational Intelligence; Reliability Engineering and Computational Intelligence,
Luntovskyy, Andriy ; Shubyn, Bohdan - p. 199-215 , 2021
Link: https://doi.org/10.1007/..
 
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15

AI-Enabled Blockchain Framework for Dynamic Spectrum Manage..:

, In: Lecture Notes in Electrical Engineering; Future Intent-Based Networking,
Maksymyuk, Taras ; Gazda, Juraj ; Liyanage, Madhusanka... - p. 322-338 , 2021
Link: https://doi.org/10.1007/..
 
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