| Logistic regression for machine learning in process tomography T Rymarczyk, E Kozłowski, G Kłosowski, K Niderla Sensors 19 (15), 3400, 2019 | 176 | 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 | 142 | 2018 |
| Comparison of selected machine learning algorithms for industrial electrical tomography T Rymarczyk, G Kłosowski, E Kozłowski, P Tchórzewski Sensors 19 (7), 1521, 2019 | 91 | 2019 |
| Assessment model of cutting tool condition for real-time supervision system E KozłowsKi, D MAzurKiEwicz, T ŻAbińsKi, S Prucnal, J Sęp Eksploatacja i Niezawodność 21 (4), 679-685, 2019 | 84 | 2019 |
| Machining sensor data management for operation-level predictive model E Kozłowski, D Mazurkiewicz, T Żabiński, S Prucnal, J Sęp Expert Systems with Applications 159, 113600, 2020 | 61 | 2020 |
| Water demand forecasting by trend and harmonic analysis E Kozłowski, B Kowalska, D Kowalski, D Mazurkiewicz Archives of Civil and Mechanical Engineering 18, 140-148, 2018 | 60 | 2018 |
| 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 | 60 | 2018 |
| 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 | 45 | 2019 |
| The use of stationary tests for analysis of monitored residual processes E KosicKA, E KozłowsKi, D MAzurKiEwicz Eksploatacja i Niezawodność 17 (4), 604-609, 2015 | 45 | 2015 |
| 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 |
| Intelligent systems of forecasting the failure of machinery park and supporting fulfilment of orders of spare parts E Kosicka, E Kozłowski, D Mazurkiewicz Intelligent Systems in Production Engineering and Maintenance–ISPEM 2017 …, 2018 | 37 | 2018 |
| Application of survival function in robust scheduling of production jobs Ł Sobaszek, A Gola, E Kozłowski 2017 Federated Conference on Computer Science and Information Systems …, 2017 | 35 | 2017 |
| Application of the logistic regression for determining transition probability matrix of operating states in the transport systems E Kozłowski, A Borucka, A Świderski Eksploatacja i Niezawodność 22 (2), 192-200, 2020 | 31 | 2020 |
| Evaluation of the maintenance system readiness using the semi-Markov model taking into account hidden factors E Kozłowski, A Borucka, P Oleszczuk, T Jałowiec Eksploatacja i Niezawodność 25 (4), 2023 | 26 | 2023 |
| Predictive analysis of the impact of the time of day on road accidents in Poland A Borucka, E Kozłowski, P Oleszczuk, A Świderski Open Engineering 11 (1), 142-150, 2020 | 24 | 2020 |
| Integrating advanced measurement and signal processing for reliability decision-making E Kozłowski, K Antosz, D Mazurkiewicz, J Sęp, T Żabiński Eksploatacja i Niezawodność 23 (4), 2021 | 22 | 2021 |
| Analiza i identyfikacja szeregów czasowych E Kozłowski Politechnika Lubelska, 2015 | 20 | 2015 |
| Binary linear programming as a decision-making aid for water intake operators E Kozłowski, D Mazurkiewicz, B Kowalska, D Kowalski Intelligent Systems in Production Engineering and Maintenance–ISPEM 2017 …, 2018 | 19 | 2018 |
| Predictive scheduling with Markov chains and ARIMA models Ł Sobaszek, A Gola, E Kozłowski 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 Kozłowski, D Mazurkiewicz, B Kowalska, D Kowalski Intelligent Systems in Production Engineering and Maintenance, 56-65, 2019 | 15 | 2019 |
