Estimation of Similarity between Colour Images. - Pawel Benecki; Adam Switonski (New Trends in Multimedia and Network Information Systems, 2008)

Towards Robust Evaluation of Super-Resolution Satellite Image Reconstruction. - Michal Kawulok; Pawel Benecki; Jakub Nalepa; Daniel Kostrzewa; Lukasz Skonieczny (ACIIDS (1), 2018)

B4MultiSR: A Benchmark for Multiple-Image Super-Resolution Reconstruction. - Daniel Kostrzewa; Lukasz Skonieczny; Pawel Benecki; Michal Kawulok (BDAS, 2018)

Towards Evolutionary Super-Resolution. - Michal Kawulok; Pawel Benecki; Daniel Kostrzewa; Lukasz Skonieczny (EvoApplications, 2018)

Evolving imaging model for super-resolution reconstruction. - Michal Kawulok; Pawel Benecki; Daniel Kostrzewa; Lukasz Skonieczny (GECCO (Companion), 2018)

Optimizing Super-resolution Reconstruction using a Genetic Algorithm. - Michal Kawulok; Daniel Kostrzewa; Pawel Benecki; Lukasz Skonieczny (ICAART (2), 2018)

Enhancing the Resolution of Satellite Images Using the Best Matching Image Fragment. - Daniel Kostrzewa; Pawel Benecki; Lukasz Jenczmyk (ACIIDS (1), 2019)

Super-Resolution Reconstruction Using Deep Learning: Should We Go Deeper? - Daniel Kostrzewa; Szymon Piechaczek; Krzysztof Hrynczenko; Pawel Benecki; Jakub Nalepa; Michal Kawulok (BDAS, 2019)

On Training Deep Networks for Satellite Image Super-Resolution. - Michal Kawulok; Szymon Piechaczek; Krzysztof Hrynczenko; Pawel Benecki; Daniel Kostrzewa; Jakub Nalepa (IGARSS, 2019)

Evaluating Super-Resolution of Satellite Images: A Proba-V Case Study. - Michal Kawulok; Pawel Benecki; Jakub Nalepa; Daniel Kostrzewa (IGARSS, 2020)

Deep Learning for Multiple-Image Super-Resolution. - Michal Kawulok; Pawel Benecki; Szymon Piechaczek; Krzysztof Hrynczenko; Daniel Kostrzewa; Jakub Nalepa (IEEE Geosci. Remote. Sens. Lett., 2020)

Detecting anomalies in spacecraft telemetry using evolutionary thresholding and LSTMs. - Pawel Benecki; Szymon Piechaczek; Daniel Kostrzewa; Jakub Nalepa (GECCO Companion, 2021)

On-Edge Aggregation Strategies over Industrial Data Produced by Autonomous Guided Vehicles. - Piotr Grzesik; Pawel Benecki; Daniel Kostrzewa; Bohdan Shubyn; Dariusz Mrozek (ICCS (4), 2022)

Designing a Training Set for Musical Instruments Identification. - Daniel Kostrzewa; Blazej Koza; Pawel Benecki (ICCS (1), 2022)

Federated Learning for Anomaly Detection in Industrial IoT-enabled Production Environment Supported by Autonomous Guided Vehicles. - Bohdan Shubyn; Dariusz Mrozek; Taras Maksymyuk; Vaidy S. Sunderam; Daniel Kostrzewa; Piotr Grzesik; Pawel Benecki (ICCS (4), 2022)

Forecasting of Energy Consumption for Anomaly Detection in Automated Guided Vehicles: Models and Feature Selection. - Pawel Benecki; Daniel Kostrzewa; Piotr Grzesik; Bohdan Shubyn; Dariusz Mrozek (SMC, 2022)

Effective Prediction of Energy Consumption in Automated Guided Vehicles with Recurrent and Convolutional Neural Networks. - Pawel Benecki; Daniel Kostrzewa; Piotr Grzesik; Bohdan Shubyn; Jia-Hao Syu; Jerry Chun-Wei Lin; Vaidy S. Sunderam; Dariusz Mrozek (IEEE Big Data, 2023)

Optimizing Telemetry Signal Influence for Power Consumption Prediction. - Pawel Benecki; Daniel Kostrzewa; Piotr Grzesik; Bohdan Shubyn; Dariusz Mrozek (GECCO Companion, 2023)

Resource Consumption of Federated Learning Approach Applied on Edge IoT Devices in the AGV Environment. - Bohdan Shubyn; Piotr Grzesik; Taras Maksymyuk; Daniel Kostrzewa; Pawel Benecki; Jia-Hao Syu; Jerry Chun-Wei Lin; Vaidy S. Sunderam; Dariusz Mrozek (ICCS (5), 2023)

Perceptual Loss for Training Multi-Image Super-Resolution. - Pawel Benecki; Daniel Kostrzewa; Michal Kawulok (IGARSS, 2023)

A Sequential Approach for On-board Rock Detection from Lunar Images. - Piotr Bosowski; Jakub Sadel; Marcin Cwiek; Tomasz Strzalka; Marek Wiejak; Pawel Benecki; Michal Kawulok (IGARSS, 2023)

Federated Learning for improved prediction of failures in Autonomous Guided Vehicles. - Bohdan Shubyn; Daniel Kostrzewa; Piotr Grzesik; Pawel Benecki; Taras Maksymyuk; Vaidy S. Sunderam; Jia-Hao Syu; Jerry Chun-Wei Lin; Dariusz Mrozek (J. Comput. Sci., 2023)

Fuzzy Querying in the Cloud-based Environment for Data Stream-driven Predictive Maintenance in AGV-enabled Smart Factories. - Bozena Malysiak-Mrozek; Dominik Romanów; Piotr Grzesik; Pawel Benecki; Alexandre Niyomugaba; Theodore Habimana; Daniel Kostrzewa; Krzysztof Tokarz; Che-Lun Hung; Dariusz Mrozek (IEEE Big Data, 2024)

Enhancing Anomaly Detection in Automated Guided Vehicles through Feature Weight Optimization. - Pawel Benecki; Daniel Kostrzewa; Piotr Grzesik; Bohdan Shubyn; Dariusz Mrozek (GECCO Companion, 2024)

Towards Detection of Anomalies in Automated Guided Vehicles Based on Telemetry Data. - Pawel Benecki; Daniel Kostrzewa; Marek Drewniak; Bohdan Shubyn; Piotr Grzesik; Vaidy S. Sunderam; Boleslaw Pochopien; Andrzej Kwiecien; Bozena Malysiak-Mrozek; Dariusz Mrozek (ICCS (7), 2024)