Grzegorz Kłosowski
Cited by
Cited by
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
Logistic regression for machine learning in process tomography
T Rymarczyk, E Kozłowski, G Kłosowski, K Niderla
Sensors 19 (15), 3400, 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
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
Comparison of Selected Machine Learning Algorithms for Industrial Electrical Tomography
T Rymarczyk, G Kłosowski, E Kozłowski, P Tchórzewski
Sensors 19 (7), 1521, 2019
Increasing the Reliability of Flood Embankments with Neural Imaging Method
G Kłosowski, T Rymarczyk, A Gola
Applied Sciences 8 (2018), 1457, 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
Application of fuzzy logic in assigning workers to production tasks
G Kłosowski, A Gola, A Świć
Distributed Computing and Artificial Intelligence, 13th International …, 2016
Development of computer-controlled material handling model by means of fuzzy logic and genetic algorithms
A Gola, G Kłosowski
Neurocomputing, 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
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
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
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
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
Computational intelligence in control of AGV multimodal systems
G Kłosowski, A Gola, T Amila
Ifac-papersonline 51 (11), 1421-1427, 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
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
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
Zastosowanie symulacji komputerowej w sterowaniu przepływem produkcji mebli
G Kłosowski
Zarządzanie przedsiębiorstwem 14 (2), 29-37, 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
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