| Logistic regression for machine learning in process tomography T Rymarczyk, E Kozłowski, G Kłosowski, 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 Kłosowski, E Kozłowski Sensors 18 (7), 2285, 2018 | 141 | 2018 |
| Comparison of selected machine learning algorithms for industrial electrical tomography T Rymarczyk, G Kłosowski, E Kozłowski, P Tchórzewski Sensors 19 (7), 1521, 2019 | 90 | 2019 |
| 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 | 89 | 2020 |
| Innovative methods of neural reconstruction for tomographic images in maintenance of tank industrial reactors T RymARczyk, G Kłosowski Eksploatacja i Niezawodność 21 (2), 261-267, 2019 | 75 | 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 | 74 | 2020 |
| Application of neural reconstruction of tomographic images in the problem of reliability of flood protection facilities T RymARczyk, G Kłosowski Eksploatacja i Niezawodność 20 (3), 425-434, 2018 | 71 | 2018 |
| Characterization of the shape of unknown objects by inverse numerical methods T Rymarczyk PRZEGLAD ELEKTROTECHNICZNY 88 (7B), 138-140, 2012 | 67 | 2012 |
| Increasing the reliability of flood embankments with neural imaging method G Kłosowski, T Rymarczyk, A Gola Applied Sciences 8 (9), 1457, 2018 | 65 | 2018 |
| New Methods to Determine Moisture Areas by Electrical Impedance Tomography T Rymarczyk INTERNATIONAL JOURNAL OF APPLIED ELECTROMAGNETICS AND MECHANICS 52 (1-2), 79-87, 2016 | 61 | 2016 |
| Using electrical impedance tomography to monitoring flood banks T Rymarczyk International journal of applied electromagnetics and mechanics 45 (1-4 …, 2014 | 61 | 2014 |
| Applying industrial tomography to control and optimization flow systems T Rymarczyk, J Sikora Open Physics 16 (1), 332-345, 2018 | 59 | 2018 |
| Measurement methods and image reconstruction in electrical impedance tomography SF Filipowicz, T Rymarczyk Przeglad Elektrotechniczny 88 (6), 247-250, 2012 | 59 | 2012 |
| Practical implementation of electrical tomography in a distributed system to examine the condition of objects T Rymarczyk, P Tchórzewski, P Adamkiewicz, K Duda, J Szumowski, ... IEEE Sensors Journal 17 (24), 8166-8186, 2017 | 56 | 2017 |
| 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 | 55 | 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 | 53 | 2017 |
| New electrical tomographic method to determine dampness in historical buildings T Rymarczyk, P Adamkiewicz, K Duda, J Szumowski, J Sikora Achieve of Electrical Engineering 65 (2), 273-283, 2016 | 53 | 2016 |
| The shape reconstruction of unknown objects for inverse problems T Rymarczyk, F Filipowicz, Stefan Przegląd Elektrotechniczny 88 (3A), 55-57, 2012 | 53* | 2012 |
| Quality of imaging in multipath tomography K Polakowski, SF Filipowicz, J Sikora, T Rymarczyk Przeglad Elektrotechniczny 85 (12), 134-136, 2009 | 53 | 2009 |
| A quantitative ultrasonic travel-time tomography to investigate liquid elaborations in industrial processes P Koulountzios, T Rymarczyk, M Soleimani Sensors 19 (23), 5117, 2019 | 48 | 2019 |
Grzegorz KłosowskiLublin University of TechnologyVerified email at pollub.pl
