Bohdan Shubyn

According to our database, Bohdan Shubyn authored at least 8 papers between 2022 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Federated Learning for improved prediction of failures in Autonomous Guided Vehicles.

Bohdan Shubyn, Daniel Kostrzewa, Piotr Grzesik, Pawel Benecki, Taras Maksymyuk, Vaidy S. Sunderam, Jia-Hao Syu, Jerry Chun-Wei Lin, Dariusz Mrozek

J. Comput. Sci., April, 2023

Feature Engineering for Deep Learning-Based Anomaly Detection in 5G and Beyond.

Taras Maksymyuk, Nazarii Lutsiv, Bohdan Shubyn, Juraj Gazda, Orest Ivakhiv

Proceedings of the 12th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, 2023

Resource Consumption of Federated Learning Approach Applied on Edge IoT Devices in the AGV Environment.

Bohdan Shubyn, Piotr Grzesik, Taras Maksymyuk, Daniel Kostrzewa, Pawel Benecki, Jia-Hao Syu, Jerry Chun-Wei Lin, Vaidy S. Sunderam, Dariusz Mrozek

Proceedings of the Computational Science - ICCS 2023, 2023

Optimizing Telemetry Signal Influence for Power Consumption Prediction.

Pawel Benecki, Daniel Kostrzewa, Piotr Grzesik, Bohdan Shubyn, Dariusz Mrozek

Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

Effective Prediction of Energy Consumption in Automated Guided Vehicles with Recurrent and Convolutional Neural Networks.

Pawel Benecki, Daniel Kostrzewa, Piotr Grzesik, Bohdan Shubyn, Jia-Hao Syu, Jerry Chun-Wei Lin, Vaidy S. Sunderam, Dariusz Mrozek

Proceedings of the IEEE International Conference on Big Data, 2023

2022

Forecasting of Energy Consumption for Anomaly Detection in Automated Guided Vehicles: Models and Feature Selection.

Pawel Benecki, Daniel Kostrzewa, Piotr Grzesik, Bohdan Shubyn, Dariusz Mrozek

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022

Federated Learning for Anomaly Detection in Industrial IoT-enabled Production Environment Supported by Autonomous Guided Vehicles.

Bohdan Shubyn, Dariusz Mrozek, Taras Maksymyuk, Vaidy S. Sunderam, Daniel Kostrzewa, Piotr Grzesik, Pawel Benecki

Proceedings of the Computational Science - ICCS 2022, 2022

On-Edge Aggregation Strategies over Industrial Data Produced by Autonomous Guided Vehicles.

Piotr Grzesik, Pawel Benecki, Daniel Kostrzewa, Bohdan Shubyn, Dariusz Mrozek

Proceedings of the Computational Science - ICCS 2022, 2022