Bohdan Shubyn

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 10

Top Topics

Anomaly Detection

Energy Consumption

Feature Engineering

Top Venues

GECCO Companion

Publications

Pawel Benecki, Daniel Kostrzewa, Marek Drewniak, Bohdan Shubyn, Piotr Grzesik, Vaidy S. Sunderam, Boleslaw Pochopien, Andrzej Kwiecien, Bozena Malysiak-Mrozek, Dariusz Mrozek
Towards Detection of Anomalies in Automated Guided Vehicles Based on Telemetry Data. ICCS (7) (2024)
Pawel Benecki, Daniel Kostrzewa, Piotr Grzesik, Bohdan Shubyn, Dariusz Mrozek
Enhancing Anomaly Detection in Automated Guided Vehicles through Feature Weight Optimization. GECCO Companion (2024)
Bohdan Shubyn, Daniel Kostrzewa, Piotr Grzesik, Pawel Benecki, Taras Maksymyuk, Vaidy S. Sunderam, Jia-Hao Syu, Jerry Chun-Wei Lin, Dariusz Mrozek
Federated Learning for improved prediction of failures in Autonomous Guided Vehicles. J. Comput. Sci. 68 (2023)
Pawel Benecki, Daniel Kostrzewa, Piotr Grzesik, Bohdan Shubyn, Jia-Hao Syu, Jerry Chun-Wei Lin, Vaidy S. Sunderam, Dariusz Mrozek
Effective Prediction of Energy Consumption in Automated Guided Vehicles with Recurrent and Convolutional Neural Networks. BigData (2023)
Bohdan Shubyn, Piotr Grzesik, Taras Maksymyuk, Daniel Kostrzewa, Pawel Benecki, Jia-Hao Syu, Jerry Chun-Wei Lin, Vaidy S. Sunderam, Dariusz Mrozek
Resource Consumption of Federated Learning Approach Applied on Edge IoT Devices in the AGV Environment. ICCS (5) (2023)
Pawel Benecki, Daniel Kostrzewa, Piotr Grzesik, Bohdan Shubyn, Dariusz Mrozek
Optimizing Telemetry Signal Influence for Power Consumption Prediction. GECCO Companion (2023)
Taras Maksymyuk, Nazarii Lutsiv, Bohdan Shubyn, Juraj Gazda, Orest Ivakhiv
Feature Engineering for Deep Learning-Based Anomaly Detection in 5G and Beyond. IDAACS (2023)
Pawel Benecki, Daniel Kostrzewa, Piotr Grzesik, Bohdan Shubyn, Dariusz Mrozek
Forecasting of Energy Consumption for Anomaly Detection in Automated Guided Vehicles: Models and Feature Selection. SMC (2022)
Bohdan Shubyn, Dariusz Mrozek, Taras Maksymyuk, Vaidy S. Sunderam, Daniel Kostrzewa, Piotr Grzesik, Pawel Benecki
Federated Learning for Anomaly Detection in Industrial IoT-enabled Production Environment Supported by Autonomous Guided Vehicles. ICCS (4) (2022)
Piotr Grzesik, Pawel Benecki, Daniel Kostrzewa, Bohdan Shubyn, Dariusz Mrozek
On-Edge Aggregation Strategies over Industrial Data Produced by Autonomous Guided Vehicles. ICCS (4) (2022)