Pawel Benecki

29 papers B 5C 5Journal 4Unranked 14
YearRankTypeTitle / Venue / Authors
2025 C conf
Keypoint-based metric for evaluating image super-resolution quality.
FedCSIS
Jakub Sadel, Tomasz Tarasiewicz, Pawel Kowaleczko, Maciej Ziaja, Daniel Kostrzewa, Pawel Benecki, Michal Kawulok
2025 B conf
Metric Learning for Multi-image Super-Resolution.
PRICAI
Pawel Benecki, Daniel Kostrzewa, Michal Kawulok
2024 — conf
Enhancing Anomaly Detection in Automated Guided Vehicles through Feature Weight Optimization.
GECCO Companion
Pawel Benecki, Daniel Kostrzewa, Piotr Grzesik, Bohdan Shubyn, Dariusz Mrozek
2024 B conf
Fuzzy Querying in the Cloud-based Environment for Data Stream-driven Predictive Maintenance in AGV-enabled Smart Factories.
IEEE Big Data
Bozena Malysiak-Mrozek, Dominik Romanów, Piotr Grzesik, Pawel Benecki, Alexandre Niyomugaba, Theodore Habimana, Daniel Kostrzewa, Krzysztof Tokarz, Che-Lun Hung, Dariusz Mrozek
2024 — conf
Towards Detection of Anomalies in Automated Guided Vehicles Based on Telemetry Data.
ICCS (7)
Pawel Benecki, Daniel Kostrzewa, Marek Drewniak, Bohdan Shubyn, Piotr Grzesik, Vaidy S. Sunderam, Boleslaw Pochopien, Andrzej Kwiecien, Bozena Malysiak-Mrozek, Dariusz Mrozek
2023 C conf
A Sequential Approach for On-board Rock Detection from Lunar Images.
IGARSS
Piotr Bosowski, Jakub Sadel, Marcin Cwiek, Tomasz Strzalka, Marek Wiejak, Pawel Benecki, Michal Kawulok
2023 B conf
Effective Prediction of Energy Consumption in Automated Guided Vehicles with Recurrent and Convolutional Neural Networks.
IEEE Big Data
Pawel Benecki, Daniel Kostrzewa, Piotr Grzesik, Bohdan Shubyn, Jia-Hao Syu, Jerry Chun-Wei Lin, Vaidy S. Sunderam, Dariusz Mrozek
2023 J jnl
Federated Learning for improved prediction of failures in Autonomous Guided Vehicles.
J. Comput. Sci.
Bohdan Shubyn, Daniel Kostrzewa, Piotr Grzesik, Pawel Benecki, Taras Maksymyuk, Vaidy S. Sunderam, Jia-Hao Syu, Jerry Chun-Wei Lin, Dariusz Mrozek
2023 — conf
Optimizing Telemetry Signal Influence for Power Consumption Prediction.
GECCO Companion
Pawel Benecki, Daniel Kostrzewa, Piotr Grzesik, Bohdan Shubyn, Dariusz Mrozek
2023 C conf
Perceptual Loss for Training Multi-Image Super-Resolution.
IGARSS
Pawel Benecki, Daniel Kostrzewa, Michal Kawulok
2023 — conf
Resource Consumption of Federated Learning Approach Applied on Edge IoT Devices in the AGV Environment.
ICCS (5)
Bohdan Shubyn, Piotr Grzesik, Taras Maksymyuk, Daniel Kostrzewa, Pawel Benecki, Jia-Hao Syu, Jerry Chun-Wei Lin, Vaidy S. Sunderam, Dariusz Mrozek
2022 — conf
Designing a Training Set for Musical Instruments Identification.
ICCS (1)
Daniel Kostrzewa, Blazej Koza, Pawel Benecki
2022 — conf
Federated Learning for Anomaly Detection in Industrial IoT-enabled Production Environment Supported by Autonomous Guided Vehicles.
ICCS (4)
Bohdan Shubyn, Dariusz Mrozek, Taras Maksymyuk, Vaidy S. Sunderam, Daniel Kostrzewa, Piotr Grzesik, Pawel Benecki
2022 B conf
Forecasting of Energy Consumption for Anomaly Detection in Automated Guided Vehicles: Models and Feature Selection.
SMC
Pawel Benecki, Daniel Kostrzewa, Piotr Grzesik, Bohdan Shubyn, Dariusz Mrozek
2022 — conf
On-Edge Aggregation Strategies over Industrial Data Produced by Autonomous Guided Vehicles.
ICCS (4)
Piotr Grzesik, Pawel Benecki, Daniel Kostrzewa, Bohdan Shubyn, Dariusz Mrozek
2021 — conf
Detecting anomalies in spacecraft telemetry using evolutionary thresholding and LSTMs.
GECCO Companion
Pawel Benecki, Szymon Piechaczek, Daniel Kostrzewa, Jakub Nalepa
2020 J jnl
Deep Learning for Multiple-Image Super-Resolution.
IEEE Geosci. Remote. Sens. Lett.
Michal Kawulok, Pawel Benecki, Szymon Piechaczek, Krzysztof Hrynczenko, Daniel Kostrzewa, Jakub Nalepa
2020 C conf
Evaluating Super-Resolution of Satellite Images: A Proba-V Case Study.
IGARSS
Michal Kawulok, Pawel Benecki, Jakub Nalepa, Daniel Kostrzewa
2019 J jnl
Deep Learning for Multiple-Image Super-Resolution.
CoRR
Michal Kawulok, Pawel Benecki, Szymon Piechaczek, Krzysztof Hrynczenko, Daniel Kostrzewa, Jakub Nalepa
2019 — conf
Enhancing the Resolution of Satellite Images Using the Best Matching Image Fragment.
ACIIDS (1)
Daniel Kostrzewa, Pawel Benecki, Lukasz Jenczmyk
2019 C conf
On Training Deep Networks for Satellite Image Super-Resolution.
IGARSS
Michal Kawulok, Szymon Piechaczek, Krzysztof Hrynczenko, Pawel Benecki, Daniel Kostrzewa, Jakub Nalepa
2019 J jnl
On training deep networks for satellite image super-resolution.
CoRR
Michal Kawulok, Szymon Piechaczek, Krzysztof Hrynczenko, Pawel Benecki, Daniel Kostrzewa, Jakub Nalepa
2019 — conf
Super-Resolution Reconstruction Using Deep Learning: Should We Go Deeper?
BDAS
Daniel Kostrzewa, Szymon Piechaczek, Krzysztof Hrynczenko, Pawel Benecki, Jakub Nalepa, Michal Kawulok
2018 — conf
B4MultiSR: A Benchmark for Multiple-Image Super-Resolution Reconstruction.
BDAS
Daniel Kostrzewa, Lukasz Skonieczny, Pawel Benecki, Michal Kawulok
2018 — conf
Evolving imaging model for super-resolution reconstruction.
GECCO (Companion)
Michal Kawulok, Pawel Benecki, Daniel Kostrzewa, Lukasz Skonieczny
2018 — conf
Optimizing Super-resolution Reconstruction using a Genetic Algorithm.
ICAART (2)
Michal Kawulok, Daniel Kostrzewa, Pawel Benecki, Lukasz Skonieczny
2018 B conf
Towards Evolutionary Super-Resolution.
EvoApplications
Michal Kawulok, Pawel Benecki, Daniel Kostrzewa, Lukasz Skonieczny
2018 — conf
Towards Robust Evaluation of Super-Resolution Satellite Image Reconstruction.
ACIIDS (1)
Michal Kawulok, Pawel Benecki, Jakub Nalepa, Daniel Kostrzewa, Lukasz Skonieczny
2008 — ch.
Estimation of Similarity between Colour Images.
New Trends in Multimedia and Network Information Systems
Pawel Benecki, Adam Switonski