Rough sets applied to the RoughCast system for steel castings S Kluska-Nawarecka, D Wilk-Kołodziejczyk, K Regulski, G Dobrowolski Intelligent Information and Database Systems: Third International Conference …, 2011 | 30 | 2011 |
Diagnosis of casting defects using uncertain and incomplete knowledge Z Górny, S Kluska-Nawarecka, D Wilk-Kołodziejczyk, K Regulski Archives of Metallurgy and Materials 55 (3), 827-836, 2010 | 30 | 2010 |
The use of LPR (logic of plausible reasoning) to obtain information on innovative casting technologies S Kluska-Nawarecka, B Śnieżyński, W Parada, M Lustofin, ... Archives of Civil and Mechanical Engineering 14 (1), 25-31, 2014 | 22 | 2014 |
Attribute-based knowledge representation in the process of defect diagnosis Z Górny, S Kluska-Nawarecka, D Wilk-Kołodziejczyk Archives of metallurgy and Materials 55 (3), 819-826, 2010 | 22 | 2010 |
Computer-assisted integration of knowledge in the context of identification of the causes of defects in castings S Kluska-Nawarecka, D Wilk-Kolodziejczyk, J Dajda, M Macura, ... Archives of Metallurgy and Materials 59 (2), 743-746, 2014 | 21 | 2014 |
Application of selected artificial intelligence methods in a system predicting the microstructure of compacted graphite iron B Mrzygłód, G Gumienny, D Wilk-Kołodziejczyk, K Regulski Journal of Materials Engineering and Performance 28, 3894-3904, 2019 | 20 | 2019 |
Methodology for the construction of a rule-based knowledge base enabling the selection of appropriate bronze heat treatment parameters using rough sets Z Gorny, S Kluska-Nawarecka, D Wilk-Kołodziejczyk, K Regulski Archives of Metallurgy and Materials 60, 2015 | 19 | 2015 |
The logistic of plausible reasoning in the diagnosis of castings defects S Kluska-Nawarecka, Z Górny, D Wilk-Kołodziejczyk, A Smolarek-Grzyb Archives of Metallurgy and Materials 52, 375-380, 2007 | 18 | 2007 |
Heuristic Models of the Toughening Process to Improve the Properties of Non-Ferrous Metal Alloys DWK Z. G ó r n y, S. K l u s k a - N a w a r e c k a Archives of Metallurgy and Materials 58 (3/2013), 849-852, 2013 | 16 | 2013 |
Methods of development fuzzy logic driven decision-support models in copper alloys processing S Kluska-Nawarecka, Z Górny, B Mrzygłód, D Wilk-Kołodziejczyk, ... Archives of Foundry Engineering 10 (1), 23-28, 2010 | 16 | 2010 |
Agent-based decision support system for technology recommendation G Legien, B Sniezynski, D Wilk-Kołodziejczyk, S Kluska-Nawarecka, ... Procedia Computer Science 108, 897-906, 2017 | 13 | 2017 |
Practical aspects of knowledge integration using attribute tables generated from relational databases KR Stanisława Kluska-Nawarecka, Dorota Wilk Springer-Verlag, cop. 2011. — (Studies in Computationak [et al.]. l …, 2011 | 12* | 2011 |
The selection of heat treatment parameters to obtain austempered ductile iron with the required impact strength D Wilk-Kołodziejczyk, K Regulski, T Giętka, G Gumienny, K Jaśkowiec, ... Journal of Materials Engineering and Performance 27, 5865-5878, 2018 | 11 | 2018 |
Heuristic modeling of casting processes under the conditions uncertainty J David, P Švec, R Garzinová, S Kluska-Nawarecka, D Wilk-Kołodziejczyk, ... Archives of civil and mechanical Engineering 16 (2), 179-185, 2016 | 11 | 2016 |
Methods of computational intelligence in the context of quality assurance in foundry products G Rojek, K Regulski, D Wilk-Kołodziejczyk Archives of Foundry Engineering 16, 2016 | 11 | 2016 |
Structuralization of knowledge about casting defects diagnosis based on rough sets theory S Kluska-Nawarecka, D Wilk-Kolodziejczyk, G Dobrowolski, E Nawarecki Computer Methods In Materials Science 9, 341-346, 2009 | 11 | 2009 |
Data mining methods for prediction of multi-component Al-Si alloy properties based on cooling curves K Regulski, D Wilk-Kołodziejczyk, T Szymczak, G Gumienny, Z Pirowski, ... Journal of Materials Engineering and Performance 28, 7431-7444, 2019 | 9 | 2019 |
Influence of process parameters on the properties of austempered ductile iron (adi) examined with the use of data mining methods D Wilk-Kołodziejczyk, B Mrzygłód, K Regulski, I Olejarczyk-Wożeńska, ... Metalurgija 55 (4), 849-851, 2016 | 9 | 2016 |
Knowledge representation of casting metal defects by means of ontology AA S. Kluska-Nawarecka, A. SMOLAREK-GRZYB, D. WILK Archives of Foundry Engineering / Polish Academy of Sciences. Commission of …, 2007 | 9* | 2007 |
Assessment of the quality and mechanical parameters of castings using machine learning methods K Jaśkowiec, D Wilk-Kołodziejczyk, Ś Bartłomiej, W Reczek, A Bitka, ... Materials 15 (8), 2884, 2022 | 8 | 2022 |