首页|Findings from State University Broaden Understanding of Machine Learning (Identi fying Grain Size In Astm A36 Steel Using Ultrasonic Backscattered Signals and Ma chine Learning)
Findings from State University Broaden Understanding of Machine Learning (Identi fying Grain Size In Astm A36 Steel Using Ultrasonic Backscattered Signals and Ma chine Learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Current study results on Machine Learn ing have been published. According to news reporting out of Campinas, Brazil, by NewsRx editors, research stated, "Ultrasonic nondestructive techniques can be u seful tools in the microstructural classification of metallic alloys. Among the most common techniques for characterizing materials, backscattered signal analys is stands out because it does not require a back surface echo." Financial supporters for this research include Coordenacao de Aperfeicoamento de Pessoal de Nivel Superior (CAPES), Conselho Nacional de Desenvolvimento Cientif ico e Tecnologico (CNPQ), Fundacao de Amparo a Pesquisa do Estado de Minas Gerai s (FAPEMIG).
CampinasBrazilSouth AmericaCyborgsEmerging TechnologiesMachine LearningState University
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