首页|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)
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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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.”
ChangshaPeople’s Republic of ChinaAs iaPattern Recognition and Artificial IntelligenceMachine LearningHunan Uni versity
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