Wilk-Kolodziejczyk Dorota
Wilk-Kolodziejczyk Dorota
AGH, University of Science and Technology and SBŁ-KiT
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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
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
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
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
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
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 (1), 309--312, 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 (3), 375-380, 2007
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
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
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
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
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
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 (2), 341-346, 2009
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
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
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
Approximation of ausferrite content in the compacted graphite iron with the use of combined techniques of data mining
K Regulski, D Wilk-Kołodziejczyk, B Kacprzyk, G Gumienny, G Rojek, ...
Archives of Foundry Engineering 17 (3), 117-122, 2017
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
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
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
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