Program:
Matej Babič, PhD. – Faculty of information studies, Novo mesto, Slovenia
New composite intelligent system of machine learning
One of the most important characteristics of the microstructure of a material is hardness. The analysis of structure is based on statistical methods and on the principle: from the general image of the structure to the particular (individual grains) by averaging. With computer methods, material structure is characterized by determination complexity of microstructure. The aim of this presentation is to present machine learning methods to predict mechanical properties of robot laser hardened specimens with a new technology of hardening, a novel approach for pattern recognition by using fractal geometry. Microstructures were obtained from SEM images of robot laser–hardened specimens from which we calculated the fractal dimension of 3D objects. I will present process of robot laser hardening under different angles of laser beam.
CV – Matej Babič received his Ph.D. degree in Computer Science in 2014 from the Faculty of Electrical Engineering and Computer Science of the University of Maribor, Slovenia. He studied Mathematics at the Faculty of Education in Maribor, Slovenia. He concluded postdoc at Jožef Stefan Institute, Ljubljana, Slovenia. At this time, he is Assistant Professor at Faculty of information studies, Novo mesto, Slovenia. His research interest is in fractal geometry, graph theory, intelligent systems, hybrid machine learning, public transport and topography of materials after hardening.
Location: online at https://meet.goto.com/iisas/ladislavhluchy