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2020 – today
- 2024
[c9]Pawel Benecki
, Daniel Kostrzewa, Piotr Grzesik, Bohdan Shubyn, Dariusz Mrozek:
Enhancing Anomaly Detection in Automated Guided Vehicles through Feature Weight Optimization. GECCO Companion 2024: 79-80- [c8]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: 192-207 - 2023
- [j1]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: 101956 (2023) - [c7]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. IEEE Big Data 2023: 5024-5030 - [c6]Pawel Benecki, Daniel Kostrzewa, Piotr Grzesik, Bohdan Shubyn, Dariusz Mrozek:
Optimizing Telemetry Signal Influence for Power Consumption Prediction. GECCO Companion 2023: 51-52 - [c5]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: 492-504 - [c4]Taras Maksymyuk, Nazarii Lutsiv, Bohdan Shubyn, Juraj Gazda, Orest Ivakhiv:
Feature Engineering for Deep Learning-Based Anomaly Detection in 5G and Beyond. IDAACS 2023: 1110-1113 - 2022
- [c3]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: 409-421 - [c2]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: 458-471 - [c1]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: 2073-2079
Coauthor Index
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