Pawel Benecki

According to our database, Pawel Benecki authored at least 22 papers between 2008 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

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., April, 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

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Perceptual Loss for Training Multi-Image Super-Resolution.

Pawel Benecki, Daniel Kostrzewa, Michal Kawulok

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 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

Proceedings of the Computational Science - ICCS 2023, 2023

Optimizing Telemetry Signal Influence for Power Consumption Prediction.

Pawel Benecki, Daniel Kostrzewa, Piotr Grzesik, Bohdan Shubyn, Dariusz Mrozek

Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

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

Proceedings of the IEEE International Conference on Big Data, 2023

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

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 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

Proceedings of the Computational Science - ICCS 2022, 2022

Designing a Training Set for Musical Instruments Identification.

Daniel Kostrzewa, Blazej Koza, Pawel Benecki

Proceedings of the Computational Science - ICCS 2022, 2022

On-Edge Aggregation Strategies over Industrial Data Produced by Autonomous Guided Vehicles.

Piotr Grzesik, Pawel Benecki, Daniel Kostrzewa, Bohdan Shubyn, Dariusz Mrozek

Proceedings of the Computational Science - ICCS 2022, 2022

2021

Detecting anomalies in spacecraft telemetry using evolutionary thresholding and LSTMs.

Pawel Benecki, Szymon Piechaczek, Daniel Kostrzewa, Jakub Nalepa

Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

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

Evaluating Super-Resolution of Satellite Images: A Proba-V Case Study.

Michal Kawulok, Pawel Benecki, Jakub Nalepa, Daniel Kostrzewa

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

2019

On Training Deep Networks for Satellite Image Super-Resolution.

Michal Kawulok, Szymon Piechaczek, Krzysztof Hrynczenko, Pawel Benecki, Daniel Kostrzewa, Jakub Nalepa

Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

Super-Resolution Reconstruction Using Deep Learning: Should We Go Deeper?

Daniel Kostrzewa, Szymon Piechaczek, Krzysztof Hrynczenko, Pawel Benecki, Jakub Nalepa, Michal Kawulok

Proceedings of the Beyond Databases, Architectures and Structures. Paving the Road to Smart Data Processing and Analysis, 2019

Enhancing the Resolution of Satellite Images Using the Best Matching Image Fragment.

Daniel Kostrzewa, Pawel Benecki, Lukasz Jenczmyk

Proceedings of the Intelligent Information and Database Systems - 11th Asian Conference, 2019

2018

Optimizing Super-resolution Reconstruction using a Genetic Algorithm.

Michal Kawulok, Daniel Kostrzewa, Pawel Benecki, Lukasz Skonieczny

Proceedings of the 10th International Conference on Agents and Artificial Intelligence, 2018

Evolving imaging model for super-resolution reconstruction.

Michal Kawulok, Pawel Benecki, Daniel Kostrzewa, Lukasz Skonieczny

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

Towards Evolutionary Super-Resolution.

Michal Kawulok, Pawel Benecki, Daniel Kostrzewa, Lukasz Skonieczny

Proceedings of the Applications of Evolutionary Computation, 2018

B4MultiSR: A Benchmark for Multiple-Image Super-Resolution Reconstruction.

Daniel Kostrzewa, Lukasz Skonieczny, Pawel Benecki, Michal Kawulok

Proceedings of the Beyond Databases, Architectures and Structures. Facing the Challenges of Data Proliferation and Growing Variety, 2018

Towards Robust Evaluation of Super-Resolution Satellite Image Reconstruction.

Michal Kawulok, Pawel Benecki, Jakub Nalepa, Daniel Kostrzewa, Lukasz Skonieczny

Proceedings of the Intelligent Information and Database Systems - 10th Asian Conference, 2018

2008

Estimation of Similarity between Colour Images.

Pawel Benecki, Adam Switonski

Proceedings of the New Trends in Multimedia and Network Information Systems, 2008