首页|New Findings on Machine Learning from Xi’an Jiaotong University Summarized (Tran s-scale Analysis of 3d Braided Composites With Voids Based On Micro-ct Imaging a nd Unsupervised Machine Learning)
New Findings on Machine Learning from Xi’an Jiaotong University Summarized (Tran s-scale Analysis of 3d Braided Composites With Voids Based On Micro-ct Imaging a nd Unsupervised Machine Learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators discuss new findings in Machine Learning. According to news reporting originating in Xi’an, People’s Rep ublic of China, by NewsRx journalists, research stated, “Voids are unavoidable d uring the manufacturing of 3D braided composites. This study proposes an unsuper vised machine learning method combined with micro-computed tomography (micro-CT) scanning and a progressive damage analysis to analyze defects in these composit es at a trans-scale level.” Financial supporters for this research include National Natural Science Foundati on of China (NSFC), National Key R & D Program of China.
Xi’anPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningXi’an Jiaotong University
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