Robotics & Machine Learning Daily News2024,Issue(Mar.14) :17-17.

Findings from Hunan University Yields New Data on Pattern Recognition and Artifi cial Intelligence (Gcnet: Ground Collapse Prediction Based On the Ground-penetra ting Radar and Deep Learning Technique)

Robotics & Machine Learning Daily News2024,Issue(Mar.14) :17-17.

Findings from Hunan University Yields New Data on Pattern Recognition and Artifi cial Intelligence (Gcnet: Ground Collapse Prediction Based On the Ground-penetra ting Radar and Deep Learning Technique)

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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 - Pattern Recognition and Artificial Intelligence. According to n ews reporting out of Changsha, People’s Republic of China, by NewsRx editors, re search stated, “Manual methods to detect and identify potential ground collapse hazards have a high volume of workload and rely on manual skills and experience strongly, with substantial inconsistencies. This paper proposes an automatic rec ognition method of potential underground hazards and designs an object detection -based algorithm to predict the hidden danger of ground collapse, called GCNet.”

Key words

Changsha/People’s Republic of China/As ia/Pattern Recognition and Artificial Intelligence/Machine Learning/Hunan Uni versity

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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