Logistic regression for machine learning in process tomography T Rymarczyk, E Kozłowski, G Kłosowski, K Niderla Sensors 19 (15), 3400, 2019 | 196 | 2019 |
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 | 149 | 2018 |
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), 138-147, 2020 | 100 | 2020 |
Comparison of Selected Machine Learning Algorithms for Industrial Electrical Tomography T Rymarczyk, G Kłosowski, E Kozłowski, P Tchórzewski Sensors 19 (7), 1521, 2019 | 96 | 2019 |
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 | 88 | 2020 |
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 | 80 | 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 | 72 | 2018 |
Increasing the Reliability of Flood Embankments with Neural Imaging Method G Kłosowski, T Rymarczyk, A Gola Applied Sciences 8 (2018), 1457, 2018 | 65 | 2018 |
Development of computer-controlled material handling model by means of fuzzy logic and genetic algorithms A Gola, G Kłosowski Neurocomputing, 2019 | 64 | 2019 |
Integer linear programming in optimization of waste after cutting in the furniture manufacturing G Kłosowski, E Kozłowski, A Gola Intelligent Systems in Production Engineering and Maintenance–ISPEM 2017 …, 2018 | 61 | 2018 |
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 | 60 | 2020 |
Using neural networks and deep learning algorithms in electrical impedance tomography G Kłosowski, T Rymarczyk Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska 7 (3 …, 2017 | 57 | 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 | 56 | 2016 |
Computational intelligence in control of AGV multimodal systems G Kłosowski, A Gola, T Amila Ifac-papersonline 51 (11), 1421-1427, 2018 | 51 | 2018 |
Risk-based estimation of manufacturing order costs with artificial intelligence G Kłosowski, A Gola 2016 Federated Conference on Computer Science and Information Systems …, 2016 | 49 | 2016 |
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 | 47 | 2021 |
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 | 47 | 2019 |
Application of fuzzy logic and genetic algorithms in automated works transport organization A Gola, G Kłosowski Distributed Computing and Artificial Intelligence, 14th International …, 2018 | 39 | 2018 |
Historical buildings dampness analysis using electrical tomography and machine learning algorithms T Rymarczyk, G Kłosowski, A Hoła, J Hoła, J Sikora, P Tchórzewski, ... Energies 14 (5), 1307, 2021 | 37 | 2021 |
Electrical impedance tomography in 3D flood embankments testing–elastic net approach T Rymarczyk, E Kozłowski, G Kłosowski Transactions of the Institute of Measurement and Control 42 (4), 680-690, 2020 | 37 | 2020 |