Robotics & Machine Learning Daily News2024,Issue(Mar.19) :99-100.DOI:10.1177/14759217241226804

Zhejiang University Researcher Provides Details of New Studies and Findings in t he Area of Machine Learning (Unsupervised deep learning approach for structural anomaly detection using probabilistic features)

Robotics & Machine Learning Daily News2024,Issue(Mar.19) :99-100.DOI:10.1177/14759217241226804

Zhejiang University Researcher Provides Details of New Studies and Findings in t he Area of Machine Learning (Unsupervised deep learning approach for structural anomaly detection using probabilistic features)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New study results on artificial intell igence have been published. According to news originating from Hangzhou, People’ s Republic of China, by NewsRx editors, the research stated, “Civil structures m ay deteriorate during their service life due to degradation or damage imposed by natural hazards such as earthquakes, wind, and impact. Structural performance a nomaly detection is essential to provide an early warning of structural degradat ion limit states in order to prevent potential catastrophic failure.”

Key words

Zhejiang University/Hangzhou/People’s Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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参考文献量52
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