| Data mining in manufacturing: significance analysis of process parameters M Perzyk, R Biernacki, J Kozlowski Proceedings of the Institution of Mechanical Engineers, Part B: Journal of …, 2008 | 43 | 2008 |
| Comparison of data mining tools for significance analysis of process parameters in applications to process fault diagnosis M Perzyk, A Kochanski, J Kozlowski, A Soroczynski, R Biernacki Information Sciences 259, 380-392, 2014 | 38 | 2014 |
| Prediction of properties of austempered ductile iron assisted by artificial neural network R Biernacki, J Kozłowski, D Myszka, M Perzyk Materials Science (Medžiagotyra) 12 (1), 11-15, 2006 | 24 | 2006 |
| Modeling of foundry processes in the era of industry 4.0 J Kozłowski, R Sika, F Górski, O Ciszak Design, Simulation, Manufacturing: The Innovation Exchange, 62-71, 2018 | 22 | 2018 |
| Application of time-series analysis in foundry production M Perzyk, K Krawiec, J Kozłowski Archives of Foundry Engineering 9 (3), 109-114, 2009 | 13 | 2009 |
| A hybrid system with regression trees in steel-making process M Kordos, M Blachnik, M Perzyk, J Kozłowski, O Bystrzycki, M Gródek, ... Hybrid Artificial Intelligent Systems: 6th International Conference, HAIS …, 2011 | 12 | 2011 |
| Introducing advanced data analytics in perspective of industry 4.0 in a die casting foundry M Perzyk, B Dybowski, J Kozłowski Archives of Foundry Engineering, 2019 | 9 | 2019 |
| Analysis and control of high-pressure die-casting process parameters with use of data mining tools J Kozłowski, M Jakimiuk, M Rogalewicz, R Sika, J Hajkowski Advances in Manufacturing II: Volume 2-Production Engineering and Management …, 2019 | 8 | 2019 |
| Effectiveness of SCADA systems in control of green sands properties Z Ignaszak, R Sika, M Perzyk, A Kochański, J Kozłowski Archives of Foundry Engineering 16 (1), 5--12, 2016 | 8 | 2016 |
| Istotność względna sygnałów wejściowych sieci neuronowej M Perzyk, A Kochański, J Kozłowski Informatyka w Technologii Materiałów 3 (3-4), 172--179, 2003 | 8 | 2003 |
| Methodology of fault diagnosis in ductile iron melting process M Perzyk, J Kozlowski Archives of Foundry Engineering 16 (4), 101--108, 2016 | 7 | 2016 |
| Applications of data mining to diagnosis and control of manufacturing processes M Perzyk, R Biernacki, A Kochanski, J Kozlowski, A Soroczynski Knowledge–Oriented Applications in Data Mining, 147-166, 2011 | 7 | 2011 |
| Optimization of side feeders systems by means of simulation of solidification M Perzyk, J Kozlowski, M Mazur, K Szymczewski Archives of Foundry Engineering, 2015 | 6 | 2015 |
| Application of time-series analysis for prediction of molding sand properties in production cycle M Perzyk, S Maciejak, J Kozłowski Archives of Foundry Engineering 11 (2), 95-100, 2011 | 6 | 2011 |
| Comparison of statistical and neural networks based methods in analysis of significance and interaction of manufacturing process parameter M Perzyk, J Kozlowski Computer Methods in Materials Science 6 (2), 81-93, 2006 | 6 | 2006 |
| Data mining in manufacturing: methods, potentials, limitations M Perzyk, R Biernacki, J Kozlowski Proceedings of the 2007 Advances in Production Engineering Conference, 147-156, 2007 | 5 | 2007 |
| Applications of rough sets theory in control of foundry processes M Perzyk, A Soroczynski, J Kozlowski Arch. Metall. Mater 55 (3), 889-898, 2010 | 4 | 2010 |
| Zastosowanie PLA jako spoiwa w masach formierskich i rdzeniowych J Kozłowski, A Kochański, M Perzyk, M Tryznowski Archives of Foundry Engineering 14 (2 spec), 51-54, 2014 | 3 | 2014 |
| Application of computational intelligence methods in control and diagnosis of production processes M Perzyk, J Kozłowski, K Zarzycki Systemy Wspomagania w Inżynierii Produkcji, 2013 | 3 | 2013 |
| Applying rough set theory for the modeling of austempered ductile iron properties A Kochański, A Soroczyński, J Kozłowski Archives of Foundry Engineering 13 (2 spec), 70-73, 2013 | 3 | 2013 |
Andrzej Kochanskidr inż., Politechnika WarszawskaVerified email at wip.pw.edu.pl
