A Non-Destructive System Based on Electrical Tomography and Machine Learning to Analyze the Moisture of Buildings T Rymarczyk, G Kłosowski, E Kozłowski Sensors 2018 18 (7), 2285, 2018 | 113 | 2018 |
Logistic regression for machine learning in process tomography T Rymarczyk, E Kozłowski, G Kłosowski, K Niderla Sensors 19 (15), 3400, 2019 | 93 | 2019 |
Application of neural reconstruction of tomographic images in the problem of reliability of flood protection facilities T Rymarczyk, G Kłosowski Eksploatacja i Niezawodnosc – Maintenance and Reliability 20 (3), 425–434, 2018 | 67 | 2018 |
Innovative methods of neural reconstruction for tomographic images in maintenance of tank industrial reactors T Rymarczyk, K Grzegorz Eksploatacja i Niezawodnosc – Maintenance and Reliability 21 (2), 261–267, 2019 | 61 | 2019 |
Comparison of Selected Machine Learning Algorithms for Industrial Electrical Tomography T Rymarczyk, G Kłosowski, E Kozłowski, P Tchórzewski Sensors 19 (7), 1521, 2019 | 58 | 2019 |
Increasing the Reliability of Flood Embankments with Neural Imaging Method G Kłosowski, T Rymarczyk, A Gola Applied Sciences 8 (2018), 1457, 2018 | 56 | 2018 |
Integer linear programming in optimization of waste after cutting in the furniture manufacturing G Kłosowski, E Kozłowski, A Gola International Conference on Intelligent Systems in Production Engineering …, 2017 | 56 | 2017 |
Application of fuzzy logic in assigning workers to production tasks G Kłosowski, A Gola, A Świć Distributed Computing and Artificial Intelligence, 13th International …, 2016 | 52 | 2016 |
Development of computer-controlled material handling model by means of fuzzy logic and genetic algorithms A Gola, G Kłosowski Neurocomputing, 2019 | 49 | 2019 |
Risk-based estimation of manufacturing order costs with artificial intelligence G Kłosowski, A Gola 2016 Federated Conference on Computer Science and Information Systems …, 2016 | 45 | 2016 |
Using neural networks and deep learning algorithms in electrical impedance tomography G Kłosowski, T Rymarczyk Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska 7, 2017 | 43 | 2017 |
Maintenance of industrial reactors supported by deep learning driven ultrasound tomography G KłosowsKi, T RymARczyK, K KAniA, A Świć, T Cieplak Eksploatacja i Niezawodność 22 (1), 2020 | 40 | 2020 |
Application of fuzzy logic and genetic algorithms in automated works transport organization A Gola, G Kłosowski International symposium on distributed computing and artificial intelligence …, 2017 | 34 | 2017 |
The use of time-frequency moments as inputs of lstm network for ecg signal classification G Kłosowski, T Rymarczyk, D Wójcik, S Skowron, T Cieplak, ... Electronics 9 (9), 1452, 2020 | 31 | 2020 |
Computational intelligence in control of AGV multimodal systems G Kłosowski, A Gola, T Amila Ifac-papersonline 51 (11), 1421-1427, 2018 | 30 | 2018 |
Application of fuzzy logic controller for machine load balancing in discrete manufacturing system G Kłosowski, A Gola, A Świć International Conference on Intelligent Data Engineering and Automated …, 2015 | 30 | 2015 |
Area monitoring using the ERT method with multisensor electrodes T Rymarczyk, G Kłosowski, P Tchórzewski, T Cieplak, E Kozłowski Przegląd Elektrotechniczny 95 (1), 153-156, 2019 | 26 | 2019 |
Quality assessment of the neural algorithms on the example of EIT-UST hybrid tomography G Kłosowski, T Rymarczyk, T Cieplak, K Niderla, Ł Skowron Sensors 20 (11), 3324, 2020 | 23 | 2020 |
Zastosowanie symulacji komputerowej w sterowaniu przepływem produkcji mebli G Kłosowski Zarządzanie przedsiębiorstwem 14 (2), 29-37, 2011 | 18 | 2011 |
Comparison of machine learning methods in electrical tomography for detecting moisture in building walls T Rymarczyk, G Kłosowski, A Hoła, J Sikora, T Wołowiec, P Tchórzewski, ... Energies 14 (10), 2777, 2021 | 13 | 2021 |