Efficiency and accuracy of simulated microstructure images generated by machine learning / Aneta Gądek-Moszczak, Renata Filipowska // W: 14th WCCM-ECCOMAS Congress 2020, January, 11-15, 2021 : virtual ... więcej

Efficiency and accuracy of simulated microstructure images generated by machine learning / Aneta Gądek-Moszczak, Renata Filipowska // W: 14th WCCM-ECCOMAS Congress 2020, January, 11-15, 2021 : virtual congress [Dokument elektroniczny] / eds. F. Chinesta [et al.]. – Barcelona : International Centre for Numerical Methods in Engineering (CIMNE), 2021. – 8 s. : rys., schem. – Tryb dostępu: https://www.scipedia.com/public/Gadek-Moszczak_Filipowska_2021a. – Bibliogr. 35 poz., Abstr. – Ścieżka dostępu: dział 1000 - Manufacturing and Materials Processing. – doi: 10.23967/wccm-eccomas.2020.129

Computer image analysis is a well-known method in material science, mechanical engineering and other branches of science and engineering. Application of the machine learning method in image processing ... więcej

Computer image analysis is a well-known method in material science, mechanical engineering and other branches of science and engineering. Application of the machine learning method in image processing delivers promising results, especially in images with a high level of noise and low contrast. Employing automatic classification, predictive models, simulation models deliver a huge benefit in research. The former model of science-based mainly on experiments slowly passing away. It is still an important part of research but, using advanced computer methods save time and allow significantly reduces the cost of studies. It begins new branch of material science and new research challenges, interdisciplinary filed of materials informatics, incorporating scientists exploring, mathematics, informatics and material science.