| Deep learning for multiple-image super-resolution M Kawulok, P Benecki, S Piechaczek, K Hrynczenko, D Kostrzewa, ... IEEE Geoscience and Remote Sensing Letters 17 (6), 1062-1066, 2019 | 99 | 2019 |
| Evaluating super-resolution reconstruction of satellite images P Benecki, M Kawulok, D Kostrzewa, L Skonieczny Acta Astronautica 153, 15-25, 2018 | 33 | 2018 |
| Federated learning for improved prediction of failures in autonomous guided vehicles B Shubyn, D Kostrzewa, P Grzesik, P Benecki, T Maksymyuk, ... Journal of Computational Science 68, 101956, 2023 | 23 | 2023 |
| Evaluating algorithms for anomaly detection in satellite telemetry data J Nalepa, M Myller, J Andrzejewski, P Benecki, S Piechaczek, ... Acta Astronautica 198, 689-701, 2022 | 22 | 2022 |
| On training deep networks for satellite image super-resolution M Kawulok, S Piechaczek, K Hrynczenko, P Benecki, D Kostrzewa, ... IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium …, 2019 | 18 | 2019 |
| Detecting anomalies in spacecraft telemetry using evolutionary thresholding and LSTMs P Benecki, S Piechaczek, D Kostrzewa, J Nalepa Proceedings of the genetic and evolutionary computation conference companion …, 2021 | 15 | 2021 |
| Evolving imaging model for super-resolution reconstruction M Kawulok, P Benecki, D Kostrzewa, L Skonieczny Proceedings of the genetic and evolutionary computation conference companion …, 2018 | 14 | 2018 |
| Forecasting of energy consumption for anomaly detection in automated guided vehicles: Models and feature selection P Benecki, D Kostrzewa, P Grzesik, B Shubyn, D Mrozek 2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2022 | 12 | 2022 |
| Federated learning for anomaly detection in industrial iot-enabled production environment supported by autonomous guided vehicles B Shubyn, D Mrozek, T Maksymyuk, V Sunderam, D Kostrzewa, P Grzesik, ... International Conference on Computational Science, 409-421, 2022 | 11 | 2022 |
| Deep learning for fast super-resolution reconstruction from multiple images M Kawulok, P Benecki, K Hrynczenko, D Kostrzewa, S Piechaczek, ... Real-Time Image Processing and Deep Learning 2019 10996, 44-51, 2019 | 10 | 2019 |
| Towards evolutionary super-resolution M Kawulok, P Benecki, D Kostrzewa, L Skonieczny International Conference on the Applications of Evolutionary Computation …, 2018 | 7 | 2018 |
| On-edge aggregation strategies over industrial data produced by Autonomous Guided Vehicles P Grzesik, P Benecki, D Kostrzewa, B Shubyn, D Mrozek International Conference on Computational Science, 458-471, 2022 | 5 | 2022 |
| B4MultiSR: a benchmark for multiple-image super-resolution reconstruction D Kostrzewa, Ł Skonieczny, P Benecki, M Kawulok International Conference: Beyond Databases, Architectures and Structures …, 2018 | 5 | 2018 |
| Towards robust evaluation of super-resolution satellite image reconstruction M Kawulok, P Benecki, J Nalepa, D Kostrzewa, Ł Skonieczny Asian Conference on Intelligent Information and Database Systems, 476-486, 2018 | 5 | 2018 |
| Optimizing Telemetry Signal Influence for Power Consumption Prediction P Benecki, D Kostrzewa, P Grzesik, B Shubyn, D Mrozek Proceedings of the Companion Conference on Genetic and Evolutionary …, 2023 | 3 | 2023 |
| Effective Prediction of Energy Consumption in Automated Guided Vehicles with Recurrent and Convolutional Neural Networks P Benecki, D Kostrzewa, P Grzesik, B Shubyn, JH Syu, JCW Lin, ... 2023 IEEE International Conference on Big Data (BigData), 5024-5030, 2023 | 2 | 2023 |
| Optimizing Super-resolution Reconstruction using a Genetic Algorithm. M Kawulok, D Kostrzewa, P Benecki, L Skonieczny ICAART (2), 599-605, 2018 | 2 | 2018 |
| Resource Consumption of Federated Learning Approach Applied on Edge IoT Devices in the AGV Environment B Shubyn, P Grzesik, T Maksymyuk, D Kostrzewa, P Benecki, JH Syu, ... International Conference on Computational Science, 492-504, 2023 | 1 | 2023 |
| Towards Detection of Anomalies in Automated Guided Vehicles Based on Telemetry Data P Benecki, D Kostrzewa, M Drewniak, B Shubyn, P Grzesik, V Sunderam, ... International Conference on Computational Science, 192-207, 2024 | | 2024 |
| Perceptual Loss for Training Multi-Image Super-Resolution P Benecki, D Kostrzewa, M Kawulok IGARSS 2023-2023 IEEE International Geoscience and Remote Sensing Symposium …, 2023 | | 2023 |
