首页|Study Findings on Machine Learning Are Outlined in Reports from Hunan University [Characterizing Damage Evolution In Fiber Reinforced Composi tes Using In-situ X-ray Computed Tomography, Deep Machine Learning and Digital V olume Correlation (Dvc)]
Study Findings on Machine Learning Are Outlined in Reports from Hunan University [Characterizing Damage Evolution In Fiber Reinforced Composi tes Using In-situ X-ray Computed Tomography, Deep Machine Learning and Digital V olume Correlation (Dvc)]
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators discuss new findings in Machine Learning. According to news reportingout of Changsha, People’s Republic of China, by NewsRx editors, research stated, “In-situ X-ray computedtomograph y (CT) techniques enable to examine microstructural evolution of composite mater ials continuouslyand nondestructively under loading for better understanding th e initiation and propagation ofmicroscopic damages. This study explores the ten sile damage behavior of notched woven carbon/epoxycomposites under successive l oading process.”
ChangshaPeople’s Republic of ChinaAs iaComputed TomographyCyborgsEmerging TechnologiesImaging TechnologyMac hine LearningTechnologyHunan University
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