Robotics & Machine Learning Daily News2024,Issue(Sep.23) :34-34.

Researchers from Chinese Academy of Sciences Report on Findings in Machine Learn ing (Identification of Anomaly of Tunnel Segment Strain Using an Adaptive Machin e Learning Model)

Robotics & Machine Learning Daily News2024,Issue(Sep.23) :34-34.

Researchers from Chinese Academy of Sciences Report on Findings in Machine Learn ing (Identification of Anomaly of Tunnel Segment Strain Using an Adaptive Machin e Learning Model)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on Ma chine Learning. According to news originating from Wuhan, People’s Republic of C hina, by NewsRx correspondents, research stated, “Anomaly identification is a cr ucial issue for preventing diseases in tunnel structures. However, distinguishin g whether the structure is abnormal from outliers is challenging, as the monitor ing dataset composed of time series may contain non-structural abnormal data cau sed by operational environmental pollution.”

Key words

Wuhan/People’s Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learning/Risk and Prevention/Chinese Academy of Sciences

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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