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 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 |
Assessment model of cutting tool condition for real-time supervision system E Koz³owsKi, D MAzurKiEwicz, T ¯AbiñsKi, S Prucnal, J Sêp Eksploatacja i Niezawodno¶æ 21 (4), 679-685, 2019 | 82 | 2019 |
Machining sensor data management for operation-level predictive model E Koz³owski, D Mazurkiewicz, T ¯abiñski, S Prucnal, J Sêp Expert Systems with Applications 159, 113600, 2020 | 60 | 2020 |
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 |
Water demand forecasting by trend and harmonic analysis E Koz³owski, B Kowalska, D Kowalski, D Mazurkiewicz Archives of Civil and Mechanical Engineering 18, 140-148, 2018 | 59 | 2018 |
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 |
The use of stationary tests for analysis of monitored residual processes E KosicKA, E Koz³owsKi, D MAzurKiEwicz Eksploatacja i Niezawodno¶æ 17 (4), 604-609, 2015 | 45 | 2015 |
Intelligent systems of forecasting the failure of machinery park and supporting fulfilment of orders of spare parts E Kosicka, E Koz³owski, D Mazurkiewicz Intelligent Systems in Production Engineering and Maintenance–ISPEM 2017 …, 2018 | 37 | 2018 |
Application of survival function in robust scheduling of production jobs £ Sobaszek, A Gola, E Koz³owski 2017 Federated Conference on Computer Science and Information Systems …, 2017 | 34 | 2017 |
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 |
Application of the logistic regression for determining transition probability matrix of operating states in the transport systems E Koz³owski, A Borucka, A ¦widerski Eksploatacja i Niezawodno¶æ 22 (2), 192-200, 2020 | 27 | 2020 |
Integrating advanced measurement and signal processing for reliability decision-making E Koz³owski, K Antosz, D Mazurkiewicz, J Sêp, T ¯abiñski Eksploatacja i Niezawodno¶æ 23 (4), 2021 | 20 | 2021 |
Predictive analysis of the impact of the time of day on road accidents in Poland A Borucka, E Koz³owski, P Oleszczuk, A ¦widerski Open Engineering 11 (1), 142-150, 2020 | 20 | 2020 |
Binary linear programming as a decision-making aid for water intake operators E Koz³owski, D Mazurkiewicz, B Kowalska, D Kowalski Intelligent Systems in Production Engineering and Maintenance–ISPEM 2017 …, 2018 | 19 | 2018 |
Analiza i identyfikacja szeregów czasowych E Koz³owski Politechnika Lubelska, 2015 | 19 | 2015 |
Classification Trees in the Assessment of the Road–Railway Accidents Mortality E Koz³owski, A Borucka, A ¦widerski, P Skoczyñski Energies 14 (12), 3462, 2021 | 15 | 2021 |
Predictive scheduling with Markov chains and ARIMA models £ Sobaszek, A Gola, E Koz³owski Applied Sciences 10 (17), 6121, 2020 | 15 | 2020 |
Application of a multidimensional scaling method to identify the factors influencing on reliability of deep wells E Koz³owski, D Mazurkiewicz, B Kowalska, D Kowalski Intelligent Systems in Production Engineering and Maintenance, 56-65, 2019 | 15 | 2019 |