Robotics & Machine Learning Daily News2024,Issue(MAY.7) :20-20.

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)

Robotics & Machine Learning Daily News2024,Issue(MAY.7) :20-20.

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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Abstract

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.

Key words

Xi’an/People’s Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learning/Xi’an Jiaotong University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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