首页|Researchers from University of Kasdi Merbah Ouargla Describe Findings in Machine Learning (Advancing Micromechanical Property Characterization In Ceramic Multil ayer Coatings Via Hierarchical Machine Learning)
Researchers from University of Kasdi Merbah Ouargla Describe Findings in Machine Learning (Advancing Micromechanical Property Characterization In Ceramic Multil ayer Coatings Via Hierarchical Machine Learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Researchers detail new data in Machine Learning. According to news reporting originating in Ouargla, Algeria, by NewsR x journalists, research stated, "This study focuses on a numerical data-driven m achine learning (ML) approach applied to predict critical parameters, including hardness, Von Mises stress, and equivalent plastic strain in various ceramic mul tilayer coatings on a Ti alloy substrate, such as Ti/TiN, Ti/TiVN, Ti/TiZrN, Cr/ CrN, Cr/CrAlN, and Ta/Ti-Zr-Ta, through the nanoindentation process. The regress ion analysis demonstrated the model's effectiveness in predicting these paramete rs, with heightened accuracy in hardness and stress compared to plastic strain." Financial supporters for this research include Institutional Fund Projects, Mini stry of Education and King Abdulaziz University, Deanship of Scientific Research (DSR), Jeddah, Saudi Arabia.
OuarglaAlgeriaCyborgsEmerging Tech nologiesMachine LearningUniversity of Kasdi Merbah Ouargla
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