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2020 – today
- 2024
[c22]Bozena Malysiak-Mrozek, Dominik Romanów, Piotr Grzesik, Pawel Benecki, Alexandre Niyomugaba, Theodore Habimana, Daniel Kostrzewa, Krzysztof Tokarz, Che-Lun Hung, Dariusz Mrozek:
Fuzzy Querying in the Cloud-based Environment for Data Stream-driven Predictive Maintenance in AGV-enabled Smart Factories. IEEE Big Data 2024: 8188-8197- [c21]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 - [c20]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
- [j2]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) - [c19]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 - [c18]Pawel Benecki, Daniel Kostrzewa, Piotr Grzesik, Bohdan Shubyn, Dariusz Mrozek:
Optimizing Telemetry Signal Influence for Power Consumption Prediction. GECCO Companion 2023: 51-52 - [c17]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 - [c16]Piotr Bosowski, Jakub Sadel, Marcin Cwiek, Tomasz Strzalka, Marek Wiejak, Pawel Benecki, Michal Kawulok:
A Sequential Approach for On-board Rock Detection from Lunar Images. IGARSS 2023: 4195-4197 - [c15]Pawel Benecki, Daniel Kostrzewa, Michal Kawulok:
Perceptual Loss for Training Multi-Image Super-Resolution. IGARSS 2023: 6330-6333 - 2022
- [c14]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 - [c13]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 - [c12]Daniel Kostrzewa, Blazej Koza, Pawel Benecki:
Designing a Training Set for Musical Instruments Identification. ICCS (1) 2022: 599-610 - [c11]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 - 2021
- [c10]Pawel Benecki, Szymon Piechaczek, Daniel Kostrzewa, Jakub Nalepa:
Detecting anomalies in spacecraft telemetry using evolutionary thresholding and LSTMs. GECCO Companion 2021: 143-144 - 2020
- [j1]Michal Kawulok, Pawel Benecki, Szymon Piechaczek, Krzysztof Hrynczenko, Daniel Kostrzewa, Jakub Nalepa:
Deep Learning for Multiple-Image Super-Resolution. IEEE Geosci. Remote. Sens. Lett. 17(6): 1062-1066 (2020) - [c9]Michal Kawulok, Pawel Benecki, Jakub Nalepa, Daniel Kostrzewa:
Evaluating Super-Resolution of Satellite Images: A Proba-V Case Study. IGARSS 2020: 641-644
2010 – 2019
- 2019
- [c8]Daniel Kostrzewa, Pawel Benecki, Lukasz Jenczmyk:
Enhancing the Resolution of Satellite Images Using the Best Matching Image Fragment. ACIIDS (1) 2019: 576-586 - [c7]Daniel Kostrzewa, Szymon Piechaczek, Krzysztof Hrynczenko, Pawel Benecki, Jakub Nalepa, Michal Kawulok:
Super-Resolution Reconstruction Using Deep Learning: Should We Go Deeper? BDAS 2019: 204-216 - [c6]Michal Kawulok, Szymon Piechaczek, Krzysztof Hrynczenko, Pawel Benecki, Daniel Kostrzewa, Jakub Nalepa:
On Training Deep Networks for Satellite Image Super-Resolution. IGARSS 2019: 3125-3128 - [i2]Michal Kawulok, Pawel Benecki, Szymon Piechaczek, Krzysztof Hrynczenko, Daniel Kostrzewa, Jakub Nalepa:
Deep Learning for Multiple-Image Super-Resolution. CoRR abs/1903.00440 (2019) - [i1]Michal Kawulok, Szymon Piechaczek, Krzysztof Hrynczenko, Pawel Benecki, Daniel Kostrzewa, Jakub Nalepa:
On training deep networks for satellite image super-resolution. CoRR abs/1906.06697 (2019) - 2018
- [c5]Michal Kawulok, Pawel Benecki, Jakub Nalepa, Daniel Kostrzewa, Lukasz Skonieczny:
Towards Robust Evaluation of Super-Resolution Satellite Image Reconstruction. ACIIDS (1) 2018: 476-486 - [c4]Daniel Kostrzewa, Lukasz Skonieczny, Pawel Benecki, Michal Kawulok:
B4MultiSR: A Benchmark for Multiple-Image Super-Resolution Reconstruction. BDAS 2018: 361-375 - [c3]Michal Kawulok, Pawel Benecki, Daniel Kostrzewa, Lukasz Skonieczny:
Towards Evolutionary Super-Resolution. EvoApplications 2018: 480-496 - [c2]Michal Kawulok, Pawel Benecki, Daniel Kostrzewa, Lukasz Skonieczny:
Evolving imaging model for super-resolution reconstruction. GECCO (Companion) 2018: 284-285 - [c1]Michal Kawulok, Daniel Kostrzewa, Pawel Benecki, Lukasz Skonieczny:
Optimizing Super-resolution Reconstruction using a Genetic Algorithm. ICAART (2) 2018: 599-605
2000 – 2009
- 2008
- [p1]Pawel Benecki, Adam Switonski:
Estimation of Similarity between Colour Images. New Trends in Multimedia and Network Information Systems 2008: 3-15
Coauthor Index
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