Pawel Benecki

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 25

Top Topics

Image Super Resolution

High Resolution Images

Energy Consumption

Anomaly Detection

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)
Pawel Benecki, Daniel Kostrzewa, Michal Kawulok
Perceptual Loss for Training Multi-Image Super-Resolution. IGARSS (2023)
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)
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)
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)
Daniel Kostrzewa, Blazej Koza, Pawel Benecki
Designing a Training Set for Musical Instruments Identification. ICCS (1) (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)
Pawel Benecki, Szymon Piechaczek, Daniel Kostrzewa, Jakub Nalepa
Detecting anomalies in spacecraft telemetry using evolutionary thresholding and LSTMs. GECCO Companion (2021)
Michal Kawulok, Pawel Benecki, Jakub Nalepa, Daniel Kostrzewa
Evaluating Super-Resolution of Satellite Images: A Proba-V Case Study. IGARSS (2020)
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) (2020)
Michal Kawulok, Szymon Piechaczek, Krzysztof Hrynczenko, Pawel Benecki, Daniel Kostrzewa, Jakub Nalepa
On Training Deep Networks for Satellite Image Super-Resolution. IGARSS (2019)
Daniel Kostrzewa, Pawel Benecki, Lukasz Jenczmyk
Enhancing the Resolution of Satellite Images Using the Best Matching Image Fragment. ACIIDS (1) (2019)
Michal Kawulok, Pawel Benecki, Szymon Piechaczek, Krzysztof Hrynczenko, Daniel Kostrzewa, Jakub Nalepa
Deep Learning for Multiple-Image Super-Resolution. CoRR (2019)
Michal Kawulok, Szymon Piechaczek, Krzysztof Hrynczenko, Pawel Benecki, Daniel Kostrzewa, Jakub Nalepa
On training deep networks for satellite image super-resolution. CoRR (2019)
Daniel Kostrzewa, Szymon Piechaczek, Krzysztof Hrynczenko, Pawel Benecki, Jakub Nalepa, Michal Kawulok
Super-Resolution Reconstruction Using Deep Learning: Should We Go Deeper? BDAS (2019)
Michal Kawulok, Pawel Benecki, Jakub Nalepa, Daniel Kostrzewa, Lukasz Skonieczny
Towards Robust Evaluation of Super-Resolution Satellite Image Reconstruction. ACIIDS (1) (2018)
Michal Kawulok, Pawel Benecki, Daniel Kostrzewa, Lukasz Skonieczny
Evolving imaging model for super-resolution reconstruction. GECCO (Companion) (2018)
Michal Kawulok, Pawel Benecki, Daniel Kostrzewa, Lukasz Skonieczny
Towards Evolutionary Super-Resolution. EvoApplications (2018)
Michal Kawulok, Daniel Kostrzewa, Pawel Benecki, Lukasz Skonieczny
Optimizing Super-resolution Reconstruction using a Genetic Algorithm. ICAART (2) (2018)
Daniel Kostrzewa, Lukasz Skonieczny, Pawel Benecki, Michal Kawulok
B4MultiSR: A Benchmark for Multiple-Image Super-Resolution Reconstruction. BDAS (2018)