| Logistic regression for machine learning in process tomography T Rymarczyk, E Koz³owski, G K³osowski, K Niderla Sensors 19 (15), 3400, 2019 | 164 | 2019 |
| A Non-Destructive System Based on Electrical Tomography and Machine Learning to Analyze the Moisture of Buildings T Rymarczyk, G K³osowski, E Koz³owski Sensors 2018 18 (7), 2285, 2018 | 141 | 2018 |
| Comparison of Selected Machine Learning Algorithms for Industrial Electrical Tomography T Rymarczyk, G K³osowski, E Koz³owski, P Tchórzewski Sensors 19 (7), 1521, 2019 | 90 | 2019 |
| Maintenance of industrial reactors supported by deep learning driven ultrasound tomography G K³osowsKi, T Rymarczyk, K Kania, A ¦wiæ, T Cieplak Eksploatacja i Niezawodno¶æ 22 (1), 138-147, 2020 | 89 | 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 | 75 | 2019 |
| The use of time-frequency moments as inputs of lstm network for ecg signal classification G K³osowski, T Rymarczyk, D Wójcik, S Skowron, T Cieplak, ... Electronics 9 (9), 1452, 2020 | 74 | 2020 |
| Application of neural reconstruction of tomographic images in the problem of reliability of flood protection facilities T Rymarczyk, G K³osowski Eksploatacja i Niezawodnosc – Maintenance and Reliability 20 (3), 425–434, 2018 | 71 | 2018 |
| Increasing the Reliability of Flood Embankments with Neural Imaging Method G K³osowski, 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 K³osowski Neurocomputing, 2019 | 61 | 2019 |
| Integer linear programming in optimization of waste after cutting in the furniture manufacturing G K³osowski, E Koz³owski, A Gola Intelligent Systems in Production Engineering and Maintenance–ISPEM 2017 …, 2018 | 60 | 2018 |
| Quality assessment of the neural algorithms on the example of EIT-UST hybrid tomography G K³osowski, T Rymarczyk, T Cieplak, K Niderla, £ Skowron Sensors 20 (11), 3324, 2020 | 55 | 2020 |
| Application of fuzzy logic in assigning workers to production tasks G K³osowski, A Gola, A ¦wiæ Distributed Computing and Artificial Intelligence, 13th International …, 2016 | 54 | 2016 |
| Using neural networks and deep learning algorithms in electrical impedance tomography G K³osowski, T Rymarczyk Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie ¦rodowiska 7 (3 …, 2017 | 53 | 2017 |
| Risk-based estimation of manufacturing order costs with artificial intelligence G K³osowski, A Gola 2016 Federated Conference on Computer Science and Information Systems …, 2016 | 48 | 2016 |
| Area monitoring using the ERT method with multisensor electrodes T Rymarczyk, G K³osowski, P Tchórzewski, T Cieplak, E Koz³owski Przegl±d Elektrotechniczny 95 (1), 153-156, 2019 | 45 | 2019 |
| Comparison of machine learning methods in electrical tomography for detecting moisture in building walls T Rymarczyk, G K³osowski, A Ho³a, J Sikora, T Wo³owiec, P Tchórzewski, ... Energies 14 (10), 2777, 2021 | 44 | 2021 |
| Computational intelligence in control of AGV multimodal systems G K³osowski, A Gola, T Amila Ifac-papersonline 51 (11), 1421-1427, 2018 | 43 | 2018 |
| Application of fuzzy logic and genetic algorithms in automated works transport organization A Gola, G K³osowski Distributed Computing and Artificial Intelligence, 14th International …, 2018 | 39 | 2018 |
| Historical buildings dampness analysis using electrical tomography and machine learning algorithms T Rymarczyk, G K³osowski, A Ho³a, J Ho³a, J Sikora, P Tchórzewski, ... Energies 14 (5), 1307, 2021 | 35 | 2021 |
| Electrical impedance tomography in 3D flood embankments testing–elastic net approach T Rymarczyk, E Koz³owski, G K³osowski Transactions of the Institute of Measurement and Control 42 (4), 680-690, 2020 | 32 | 2020 |
Tomasz RymarczykPhD, DSc, Director in Research and Development Center Netrix S.A. / Prof. UniversityVerified email at rymarczyk.com
