dr inż. Monika Kulisz
Dyscyplina:
inżynieria mechaniczna
nauki o zarządzaniu i jakości
Artykuły z 2026 (1)
1. Improving the reliability of industrial reactors by using differential neural network architecture in ultrasonic tomography / Tomasz Rymarczyk, Monika Kulisz, Grzegorz Kłosowski, Dariusz Wójcik, Marcin Kowalski, Krzysztof Król // Eksploatacja i Niezawodność-Maintenance and Reliability.- 2026, vol. 28, nr 1, s. 1-21 [MNiSW: 5]
Artykuły z 2025 (15)
1. Application of machine learning in electrical process tomography with variable frequency measurement sequences / Grzegorz Kłosowski, Monika Kulisz, Tomasz Rymarczyk, Łukasz Skowron, Paweł Olszewski, Konrad Niderla // Measurement.- 2025, vol. 247, s. 1-14 [MNiSW: 200]
2. Awareness of the impact of IT/AI on energy consumption in enterprises: a machine learning-based modelling towards a sustainable digital transformation / Jolanta Słoniec, Monika Kulisz, Marta Małecka-Dobrogowska, Zhadyra Konurbayeva, Łukasz Sobaszek // Energies.- 2025, vol. 18, nr 21, s. 1-24 [MNiSW: 140]
3. Comparison of machine learning methods in predictive maintenance of machines / Michał Cioch, Monika Kulisz, Arkadiusz Gola // Advances in Science and Technology Research Journal.- 2025, vol. 19, nr 11, s. 33-44 [MNiSW: 100]
4. Comparison of machine learning models for predicting the compressive strength of cement mixtures with zeolite / Justyna Michaluk, Monika Kulisz, Justyna Kujawska, Edyta Wojtaś, Aliya Aldungarova // Advances in Science and Technology Research Journal.- 2025, vol. 19, nr 10, s. 123-135 [MNiSW: 100]
5. Crystallization process optimization using hybrid tomographic imaging and deep reinforcement learning for sustainable energy systems / Konrad Niderla, Tomasz Rymarczyk, Grzegorz Kłosowski, Monika Kulisz, Grzegorz Bartnik, Paweł Kaleta, Emanuel Józefacki, Dariusz Dudek // Energies.- 2025, vol. 18, nr 23, s. 1-24 [MNiSW: 140]
6. Developing an expert system for analyzing defects on production lines / Krzysztof Król, Grzegorz Kłosowski, Monika Kulisz, Arkadiusz Małek // Przegląd Elektrotechniczny.- 2025, vol. 101, nr 1, s. 183-186 [MNiSW: 70]
7. Evaluating and predicting CO2 fux from agricultural soils treated with organic amendments: a comparative study of ANN and ElasticNet models / Justyna Kujawska, Monika Kulisz, Wojciech Cel, Cezary A. Kwiatkowski, Elżbieta Harasim & Lidia Bandura // Journal of Soils and Sediments.- 2025, vol. 25, s. 1-19 [MNiSW: 100]
8. Factor-based analysis of certification validity in engineering safety / Samat Baigereyev, Zhadyra Konurbayeva, Monika Kulisz, Saule Rakhmetullina, Assiya Mashekenova // Safety.- 2025, vol. 11, nr 4, s. 1-18 [MNiSW: 20]
9. Measuring the Digital Economy in Kazakhstan: From Global Indices to a Contextual Composite Index (IDED) / Oxana Denissova, Zhadyra Konurbayeva, Monika Kulisz, Madina Yussubaliyeva and Saltanat Suieubayeva // Economies.- 2025, vol. 13, nr 8, s. 1-26 [MNiSW: 40]
10. Modeling air pollution from urban transport and strategies for transitioning to eco-friendly mobility in urban environments / Sayagul Zhaparova, Monika Kulisz, Nurzhan Kospanov, Anar Ibrayeva, Zulfiya Bayazitova, Aigul Kurmanbayeva // Environments.- 2025, vol. 12, nr 11, s. 1-29 [MNiSW: 20]
11. Modeling Ecological Risk in Bottom Sediments Using Predictive Data Analytics: Implications for Energy Systems / Bartosz Przysucha, Monika Kulisz, Justyna Kujawska, Michał Cioch, Adam Gawryluk, Rafał Garbacz // Energies.- 2025, vol. 18, nr 9, s. 1-23 [MNiSW: 140]
12. Predictive modeling and decision support using machine learning in business contexts / Agnieszka Barbara Bojanowska, Monika Kulisz // Advances in Science and Technology Research Journal.- 2025, vol. 19, nr 10, s. 385-395 [MNiSW: 100]
13. Process Control via Electrical Impedance Tomography for Energy-Aware Industrial Systems / Krzysztof Król, Grzegorz Kłosowski, Tomasz Rymarczyk, Konrad Gauda, Monika Kulisz, Ewa Golec and Agnieszka Surowiec // Energies.- 2025, vol. 18, nr 22, s. 1-25 [MNiSW: 140]
14. Selected Problems of Effectiveness and Quality in the Dry Rough Milling of Magnesium Alloy AZ91D Using End Mills with Different Helix Angles / Ireneusz Zagórski, Jarosław Korpysa, Monika Kulisz, Agnieszka Skoczylas // Management and Production Engineering Review.- 2025, vol. 16, nr 3, s. 1-21 [MNiSW: 70]
15. Vibration and stability in dry rough milling AZ31B magnesium alloy using end mills with different edge geometry / Ireneusz Zagórski, Andrzej Weremczuk, Monika Kulisz, Agnieszka Skoczylas // Measurement.- 2025, vol. 256, nr Pt E, s. 1-17 [MNiSW: 200]
Artykuły z 2024 (19)
1. Artificial neural networks as a method for forecasting migration balance (a case study of the city of Lublin in Poland) / Adam Gawryluk, Agnieszka Komor, Monika Kulisz, Patrycjusz Zarębski, Dominik Katarzyński // Sustainability.- 2024, vol. 16, nr 24, s. 1-18 [MNiSW: 100]
2. Comparative Analysis of Machine Learning Methods for Predicting Energy Recovery from Waste / Monika Kulisz, Justyna Kujawska, Michał Cioch, Wojciech Cel and Jakub Pizoń // Applied Sciences.- 2024, vol. 14, nr 7, s. 1-18 [MNiSW: 100]
3. Evaluation and Comparison of Selected Machine Learning Methods for Improving Maintenance Processes / Katarzyna Antosz, Monika Kulisz, Jozef Husar // IFAC-PapersOnLine.- 2024, vol. 58, nr 8, s. 85-90 [MNiSW: 20]
4. Evaluation of High-Frequency Measurement Errors from Turned Surface Topography Data Using Machine Learning Methods / Przemysław Podulka, Monika Kulisz and Katarzyna Antosz // Materials.- 2024, vol. 17, nr 7, s. 1-19 [MNiSW: 140]
5. Identification of an Arbitrary Shape Obstacle of Scattering Problem Using Near Field Data / Tomasz Rymarczyk, Jan Sikora, Monika Kulisz, Grzegorz Kłosowski // Advances in Science and Technology Research Journal.- 2024, vol. 18, nr 7, s. 396-405 [MNiSW: 100]
6. Implementing AI Collaborative Robots in Manufacturing – Modeling Enterprise Challenges in Industry 5.0 with Fuzzy Logic / Michał Cioch, Monika Kulisz, Łukasz Kański // Advances in Science and Technology Research Journal.- 2024, vol. 18, nr 7, s. 229-238 [MNiSW: 100]
7. Management Decision Making in a Retail Establishment Using Machine Learning Methods / Agnieszka Bojanowska, Monika Kulisz, Alfonso Infante-Moro // Advances in Science and Technology Research Journal.- 2024, vol. 18, nr 7, s. 460-474 [MNiSW: 100]
8. Methods of Applying the Environmental Approach in Architectural Design in Modern Residential Complexes / M. G. Baidrakhmanova, A. K. Aldungarova, Monika Kulisz // BULLETIN D. Serikbayev of EKTU.- 2024, vol. 1, s. 70-83 [MNiSW: 5]
9. Modeling Energy Access Challenges in Europe: A Neural Network Approach to Predicting Household Heating Inadequacy Using Macro-Energy Indicators / Monika Kulisz, Justyna Kujawska, Michał Cioch, Wojciech Cel // Energies.- 2024, vol. 17, nr 23, s. 1-14 [MNiSW: 140]
10. Modeling of optimal Probe Measurement Time on Amachine Tool Using Machine Learning Methods / Jerzy Jóźwik, Magdalena Zawada - Michałowska, Monika Kulisz, Paweł Tomiło, Marcin Barszcz, Paweł Pieśko, Michał Leleń, Kamil Cybul // Applied Computer Science.- 2024, vol. 20, nr 2, s. 43-59 [MNiSW: 70]
11. Modelling the properties of aerated concrete on the basis of raw materials and ash-and-slag wastes using machine learning paradigm / Olga Rudenko, Darya Galkina, Marzhan Sadenova, Nail Beisekenov, Monika Kulisz, Meiram Begentayev // Frontiers in Materials.- 2024, vol. 11, s. 1-21 [MNiSW: 70]
12. Optimizing the Neural Network Loss Function in Electrical Tomography to Increase Energy Efficiency in Industrial Reactors / Monika Kulisz, Grzegorz Kłosowski, Tomasz Rymarczyk, Jolanta Słoniec, Konrad Gauda, Wiktor Cwynar // Energies.- 2024, vol. 17, nr 3, s. 1-17 [MNiSW: 140]
13. PCA Analysis of Resource Availability as One of the Inputs in the Process of Estimating the Length of Assembly Time for Complex Products / Jolanta Brzozowska, Monika Kulisz, Arkadiusz Gola // IFAC-PapersOnLine.- 2024, vol. 58, nr 19, s. 767-771 [MNiSW: 20]
14. Predicting Food Consumption to Reduce the Risk of Food Insecurity in Kazakhstan / Aigerim Duisenbekova, Monika Kulisz, Alina Danilowska, Arkadiusz Gola, Madina Ryspekova // Economies.- 2024, vol. 12, nr 1, s. 1-20 [MNiSW: 40]
15. Prediction of Buckling Behaviour of Composite Plate Element Using Artificial Neural Networks / Katarzyna Falkowicz, Monika Kulisz // Advances in Science and Technology Research Journal.- 2024, vol. 18, nr 1, s. 231-243 [MNiSW: 100]
16. Review of Magnesium Wheel Types and Methods of Their Manufacture / Anna Dziubińska, Ewa Siemionek, Piotr Surdacki, Monika Kulisz, Bartosz Koczurkiewicz // Materials.- 2024, vol. 17, nr 3, s. 1-29 [MNiSW: 140]
17. Roughness Parameters with Statistical Analysis and Modelling Using Artificial Neural Networks After Finish Milling of Magnesium Alloys with Different Edge Helix Angle Tools / Ireneusz Zagórski, Monika Kulisz, Anna Szczepaniak // Strojniški vestnik – Journal of Mechanical Engineering.- 2024, vol. 70, nr 1-2, s. 27-41 [MNiSW: 100]
18. The use of the multi-sequential LSTM in electrical tomography for masonry wall moisture detection / Monika Kulisz, Grzegorz Kłosowski,Tomasz Rymarczyk, Anna Hoła, Konrad Niderla, Jan Sikora // Measurement.- 2024, vol. 234, s. 1-16 [MNiSW: 200]
19. Using Business Process Model and Notation 2.0 to Deploy Cobots in a Manufacturing System – Case Study / Jakub Pizoń, Łukasz Kański, Monika Kulisz, Jan Chadam, Eduardo Sánchez García // Advances in Science and Technology Research Journal.- 2024, vol. 18, nr 7, s. 150-162 [MNiSW: 100]
Artykuły z 2023 (10)
1. 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 / Katarzyna Biruk-Urban, Ireneusz Zagórski, Monika Kulisz and Michał Leleń // Materials.- 2023, vol. 16, nr 9, s. 1-18 [MNiSW: 140]
2. Implications of Neural Network as a Decision-Making Tool In Managing Kazakhstan’s Agricultural Economy / Monika Kulisz, Aigerim Duisenbekova, Justyna Kujawska, Danira Kaldybayeva, Bibigul Issayeva, Piotr Lichograj, Wojciech Cel // Applied Computer Science.- 2023, vol. 19, nr 4, s. 121-135 [MNiSW: 70]
3. Improved Prediction of the Higher Heating Value of Biomass Using an Artificial Neural Network Model Based on the Selection of Input Parameters / Justyna Kujawska, Monika Kulisz, Piotr Oleszczuk and Wojciech Cel // Energies.- 2023, vol. 16, nr 10, s. 1-16 [MNiSW: 140]
4. Influence of loss function on training the LSTM network in wall moisture tomography / Tomasz Rymarczyk, Monika Kulisz, Grzegorz Kłosowski // International Journal of Applied Electromagnetics and Mechanics.- 2023, vol. 73, nr 4, s. 353-367 [MNiSW: 70]
5. Prediction of river salinity with artificial neural networks / Monika Kulisz, Justyna Kujawska, Zulfiya Aubakirova, Edyta Wojtaś // Journal of Physics : Conference Series.- 2023, vol. 2676, s. 1-10 [MNiSW: 40]
6. Problems of forecasting the length of the assembly cycle of complex products realized in the MTO (Make-to-Order) model / Jolanta Brzozowska, Arkadiusz Gola, Monika Kulisz // Technologia i Automatyzacja Montażu = Assembly Techniques and Technologies.- 2023, vol. 121, nr 3, s. 13-20 [MNiSW: 70]
7. Risk Awareness in Making Consumer Online Decisions During Covid-19 Pandemic / Agnieszka Barbara Bojanowska, Monika Kulisz, Agnieszka Surowiec // Journal of Modern Science.- 2023, vol. 54, nr 5, s. 43-65 [MNiSW: 140]
8. Using an LSTM network to monitor industrial reactors using electrical capacitance and impedance tomography – a hybrid approach / Grzegorz Kłosowski, Tomasz Rymarczyk, Konrad Niderla, Monika Kulisz, Łukasz Skowron, Manuchehr Soleimani // Eksploatacja i Niezawodność-Maintenance and Reliability.- 2023, vol. 25, nr 1, s. 1-11 [MNiSW: 200]
9. Using Fuzzy Logic to Make Decisions Based on the Data From Customer Relationship Management Systems / Agnieszka Barbara Bojanowska, Monika Kulisz // Advances in Science and Technology Research Journal.- 2023, vol. 17, nr 5, s. 269-279 [MNiSW: 100]
10. Wykorzystanie logiki rozmytej w procesie decyzyjnym dotyczącym stosowania outsourcingu w przedsiębiorstwach / Michał Cioch, Monika Kulisz // Journal of Modern Science.- 2023, vol. 54, nr 5, s. 66-82 [MNiSW: 140]
Artykuły z 2022 (10)
1. 2D Geometric Surface Structure ANN Modeling after Milling of the AZ91D Magnesium Alloy / Monika Kulisz, Ireneusz Zagórski, Jerzy Józwik // Advances in Science and Technology Research Journal.- 2022, vol. 16, nr 2, s. 131-140 [MNiSW: 100]
2. 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.- 2022, vol. 22, nr 1, s. 1-19 [MNiSW: 140]
3. Application of artificial neural networks model to predict the levels of sulfur dioxides in the air of Zamość, Poland / Justyna Kujawska, Monika Kulisz, Zulfiya Aubakirova // Journal of Physics : Conference Series.- 2022, vol. 2412, s. 1-9 [MNiSW: 40]
4. Identification of surface defects using deep and transfer learning / Grzegorz Kłosowski and Monika Kulisz // Journal of Physics : Conference Series.- 2022, vol. 2408, s. 1-8 [MNiSW: 40]
5. Influence of the Tool Cutting Edge Helix Angle on the Surface Roughness after Finish Milling of Magnesium Alloys / Ireneusz Zagórski, Anna Szczepaniak, Monika Kulisz, Jarosław Korpysa // Materials.- 2022, vol. 15, nr 9, s. 1-31 [MNiSW: 140]
6. Machine Learning Methods to Forecast the Concentration of PM10 in Lublin, Poland / Justyna Kujawska, Monika Kulisz, Piotr Oleszczuk and Wojciech Cel // Energies.- 2022, vol. 15, nr 17, s. 1-24 [MNiSW: 140]
7. Modelowanie salda migracji dla miasta Poznania z wykorzystaniem sztucznych sieci neuronowych / Adam Gawryluk, Monika Kulisz, Agnieszka Komor // Rozwój Regionalny i Polityka Regionalna.- 2022, vol. 62, s. 87-102 [MNiSW: 70]
8. Potential applicability of tailings as fine aggregate for concrete paving slabs / Zulfiya Aubakirova, Aldiyar Теmirbekov, Monika Kulisz, Gulnaz Zhairbaeva // Technobius.- 2022, vol. 2, nr 3, s. 1-8 [MNiSW: 5]
9. Prediction of the Compressive Strength of Environmentally Friendly Concrete Using Artificial Neural Network / Monika Kulisz, Justyna Kujawska, Zulfiya Aubakirova, Gulnaz Zhairbaeva,Tomasz Warowny // Applied Computer Science.- 2022, vol. 18, nr 4, s. 68-81 [MNiSW: 70]
10. Research, Modelling and Prediction of the Influence of Technological Parameters on the Selected 3D Roughness Parameters, as Well as Temperature, Shape and Geometry of Chips in Milling AZ91D Alloy / Monika Kulisz, Ireneusz Zagórski, Jerzy Józwik, Jarosław Korpysa // Materials.- 2022, vol. 15, nr 12, s. 1-23 [MNiSW: 140]
Artykuły z 2021 (7)
1. About The Conference / Zbigniew Czyż, Monika Kulisz, Mirosław Szala, Marcin Badurowicz, Wojciech Cel, Katarzyna Falkowicz, Justyna Kujawska // Journal of Physics : Conference Series.- 2021, vol. 2130, s. 1-6
2. Application of artificial neural network (ANN) for water quality index (WQI) prediction for the river Warta, Poland / M. Kulisz and J. Kujawska // Journal of Physics : Conference Series.- 2021, vol. 2130, s. 1-11 [MNiSW: 40]
3. Consumer‘s Behaviour Regarding Cashless Payments during the Covid-19 Pandemic / Monika Kulisz, Agnieszka Bojanowska, Katarzyna Toborek // European Research Studies Journal.- 2021, vol. 24, nr Special Issue 2, s. 278-290 [MNiSW: 100]
4. Forecasting Water Quality Index in Groundwater Using Artificial Neural Network / Monika Kulisz, Justyna Kujawska, Bartosz Przysucha, Wojciech Cel // Energies.- 2021, vol. 14, nr 18, s. 1-16 [MNiSW: 140]
5. Matrix profile implementation perspective in Industrial Internet of Thingsproduction maintenance application / J. Pizoń, M. Kulisz, J. Lipski // Journal of Physics : Conference Series.- 2021, vol. 1736, s. 1-11 [MNiSW: 40]
6. Surface quality simulation with statistical analysis after milling AZ91D magnesium alloy using PCD tool / M. Kulisz, I. Zagórski and J. Korpysa // Journal of Physics : Conference Series.- 2021, vol. 1736, s. 1-11 [MNiSW: 40]
7. The Use of Transfer Learning with Very Deep Convolutional Neural Network in Quality Management / Grzegorz Kłosowski, Monika Kulisz, Jerzy Lipski, Michał Maj, Ryszard Białek // European Research Studies Journal.- 2021, vol. 24, nr Special Issue 2, s. 253-263 [MNiSW: 100]
Artykuły z 2020 (4)
1. Polish Consumers’ Response to Social Media EcoMarketing Techniques / Agnieszka Bojanowska, Monika Kulisz // Sustainability.- 2020, vol. 12, nr 21, s. 1-19 [MNiSW: 100]
2. Prediction of Municipal Waste Generation in Poland Using Neural Network Modeling / Monika Kulisz, Justyna Kujawska // Sustainability.- 2020, vol. 12, nr 23, s. 1-16 [MNiSW: 100]
3. Properties of the Surface Layer After Trochoidal Milling and Brushing: Experimental Study and Artificial Neural Network Simulation / Monika Kulisz, Ireneusz Zagórski, Jakub Matuszak and Mariusz Kłonica // Applied Sciences.- 2020, vol. 10, nr 1, s. 1-26 [MNiSW: 100]
4. The Effect of Abrasive Waterjet Machining Parameters on the Condition of Al-Si Alloy / Monika Kulisz, Ireneusz Zagórski and Jarosław Korpysa // Materials.- 2020, vol. 13, nr 14, s. 1-22 [MNiSW: 140]
Artykuły z 2019 (4)
1. Application of neural network in determination of parameters for milling AZ91HP magnesium alloy with surface roughness constraint / Monika Kulisz and Ireneusz Zagórski // MATEC Web of Conferences.- 2019, vol. 252, s. 1-6 [MNiSW: 5]
2. Effect of technological parameters on vibration acceleration in milling and vibration prediction with artificial neural networks / Ireneusz Zagórski, Monika Kulisz // MATEC Web of Conferences.- 2019, vol. 252, s. 1-6 [MNiSW: 5]
3. Surface quality simulation with neural networks in AZ91D Mg alloy milling / M. Kulisz, I. Zagórski and J. Korpysa // IOP Conference Series : Materials Science and Engineering.- 2019, vol. 710, nr 1, s. 1-11 [MNiSW: 5]
4. Trochoidal Milling and Neural Networks Simulation of Magnesium Alloys / Ireneusz Zagórski, Monika Kulisz, Mariusz Kłonica and Jakub Matuszak // Materials.- 2019, vol. 12, nr 13, s. 1-25 [MNiSW: 140]
Artykuły z 2018 (3)
1. Effect of the AWJM method on the machined surface layer of AZ91D magnesium alloy and simulation of roughness parameters using neural networks / Ireneusz Zagórski, Mariusz Kłonica, Monika Kulisz, Katarzyna Łoza // Materials.- 2018, vol. 11, nr 11, s. 1-18 [MNiSW: 35]
2. Evaluation of sap system implementation in an enterprise of the automotive industry - case study / Monika Kulisz // Applied Computer Science.- 2018, vol. 14, nr 4, s. 81-92 [MNiSW: 11]
3. Wpływ parametrów technologicznych na chropowatość powierzchni po toczeniu oraz predykcja chropowatości z użyciem sztucznych sieci neuronowych / Ireneusz Zagórski, Monika Kulisz, Tomasz Warda // Mechanik.- 2018, vol. 91, nr 10, s. 898-900 [MNiSW: 11]
Artykuły z 2017 (2)
1. Artificial neural network modelling of cutting force components in milling / Ireneusz Zagórski, Monika Kulisz, Aleksandra Semeniuk // ITM Web of Conferences.- 2017, vol. 15, s. 1-8 [MNiSW: 15]
2. Artificial neural network modelling of vibration in the milling of AZ91D alloy / Ireneusz Zagórski, Monika Kulisz, Aleksandra Semeniuk, Anna Malec // Advances in Science and Technology Research Journal.- 2017, vol. 11, nr 3, s. 261-269 [MNiSW: 10]
Artykuły z 2016 (1)
1. Artificial neural network modelling of cutting force components during AZ91HP alloy milling / Monika Kulisz, Ireneusz Zagórski, Aleksandra Semeniuk // Applied Computer Science.- 2016, vol. 12, nr 4, s. 49-58 [MNiSW: 11]
Artykuły z 2014 (1)
1. Identyfikacja systemu logistycznego na przykładzie przedsiębiorstwa produkującego meble / Monika Kulisz // Systemy Logistyczne Wojsk.- 2014, nr 40, s. 167-175 [MNiSW: 6]
Artykuły z 2011 (1)
1. Identyfikacja i weryfikacja modelu obiektu dynamicznego na przykładzie procesu frezowania / Monika Kulisz // Postępy Nauki i Techniki.- 2011, nr 8, s. 76-81 [MNiSW: 4]
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