| Forecasting water quality index in groundwater using artificial neural network M Kulisz, J Kujawska, B Przysucha, W Cel Energies 14 (18), 5875, 2021 | 51 | 2021 |
| Trochoidal milling and neural networks simulation of magnesium alloys I Zagórski, M Kulisz, M Kłonica, J Matuszak Materials 12 (13), 2070, 2019 | 39 | 2019 |
| Prediction of municipal waste generation in Poland using neural network modeling M Kulisz, J Kujawska Sustainability 12 (23), 10088, 2020 | 30 | 2020 |
| Effect of the AWJM method on the machined surface layer of AZ91D magnesium alloy and simulation of roughness parameters using neural networks I Zagórski, M Kłonica, M Kulisz, K Łoza Materials 11 (11), 2111, 2018 | 28 | 2018 |
| Properties of the surface layer after trochoidal milling and brushing: experimental study and artificial neural network simulation M Kulisz, I Zagórski, J Matuszak, M Kłonica Applied Sciences 10 (1), 75, 2019 | 27 | 2019 |
| Artificial neural network modelling of vibration in the milling of AZ91D alloy I Zagórski, M Kulisz, A Semeniuk, A Malec Advances in Science and Technology. Research Journal 11 (3), 261-269, 2017 | 22 | 2017 |
| The effect of abrasive waterjet machining parameters on the condition of Al-Si alloy M Kulisz, I Zagórski, J Korpysa Materials 13 (14), 3122, 2020 | 21 | 2020 |
| Machine learning methods to forecast the concentration of PM10 in Lublin, Poland J Kujawska, M Kulisz, P Oleszczuk, W Cel Energies 15 (17), 6428, 2022 | 19 | 2022 |
| Using an LSTM network to monitor industrial reactors using electrical capacitance and impedance tomography-a hybrid approach G Kłosowski, T Rymarczyk, K Niderla, M Kulisz, Ł Skowron, M Soleimani Eksploatacja i Niezawodność 25 (1), 2023 | 18 | 2023 |
| Application of artificial neural network (ANN) for water quality index (WQI) prediction for the river Warta, Poland M Kulisz, J Kujawska Journal of Physics: conference series 2130 (1), 012028, 2021 | 15 | 2021 |
| Consumer‘s behaviour regarding cashless payments during the COVID-19 pandemic M Kulisz, A Bojanowska, K Toborek University of Piraeus. International Strategic Management Association, 2021 | 15 | 2021 |
| Polish consumers’ response to social media eco-marketing techniques A Bojanowska, M Kulisz Sustainability 12 (21), 8925, 2020 | 14 | 2020 |
| Matrix profile implementation perspective in Industrial Internet of Things production maintenance application J Pizoń, M Kulisz, J Lipski Journal of Physics: Conference Series 1736 (1), 012036, 2021 | 12 | 2021 |
| Artificial neural network modelling of cutting force components in milling I Zagórski, M Kulisz, A Semeniuk ITM Web of Conferences 15, 02001, 2017 | 10 | 2017 |
| ARTIFICIAL NEURAL NETWORK MODELLING OF CUTTING FORCE COMPONENTS DURING AZ91HP ALLOY MILLING M Kulisz, I Zagórski, A Semeniuk Applied Computer Science 12 (4), 49-58, 2016 | 8 | 2016 |
| Analysis and prediction of the impact of technological parameters on cutting force components in rough milling of AZ31 magnesium alloy M Kulisz, I Zagórski, A Weremczuk, R Rusinek, J Korpysa Archives of Civil and Mechanical Engineering 22 (1), 1, 2021 | 7 | 2021 |
| The use of transfer learning with very deep convolutional neural network in quality management G Kłosowski, M Kulisz, J Lipski, M Maj, R Białek University of Piraeus. International Strategic Management Association, 2021 | 6 | 2021 |
| Improved prediction of the higher heating value of biomass using an artificial neural network model based on the selection of input parameters J Kujawska, M Kulisz, P Oleszczuk, W Cel Energies 16 (10), 4162, 2023 | 5 | 2023 |
| Analysis of Vibration, Deflection Angle and Surface Roughness in Water-Jet Cutting of AZ91D Magnesium Alloy and Simulation of Selected Surface Roughness Parameters Using ANN K Biruk-Urban, I Zagórski, M Kulisz, M Leleń Materials 16 (9), 3384, 2023 | 5 | 2023 |
| The influence of technological parameters on cutting force components in milling of magnesium alloys with PCD tools and prediction with artificial neural networks I Zagórski, M Kulisz Advances in Manufacturing II: Volume 4-Mechanical Engineering, 176-188, 2019 | 5 | 2019 |
Jakub PizońEngD, Lublin University of Technology, Faculty of ManagementE-mail confirmado em pollub.pl
