首页|Reports from University of Electronic Science and Technology of China Add New Da ta to Findings in Machine Learning (Hybrid Physics Machine Learning for Ultrason ic Field Guided 3d Generation and Reconstruction of Rail Defects)
Reports from University of Electronic Science and Technology of China Add New Da ta to Findings in Machine Learning (Hybrid Physics Machine Learning for Ultrason ic Field Guided 3d Generation and Reconstruction of Rail Defects)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Researchers detail new data in Machine Learning. According to news reporting originatingfrom Chengdu, People’s Republ ic of China, by NewsRx correspondents, research stated, “Ultrasonictechnology i s widely used in the field of rail defects detection. 3D reconstruction of rail defects can intuitivelyrestore the 3D size and spatial position of the defects inside the rail. Currently, ultrasound-based3D reconstruction requires a multi- probe or mechanical scanning platform in a laboratory setting, whichis not suit able for the railway environment.”
ChengduPeople’s Republic of ChinaAsi aCyborgsEmerging TechnologiesMachine LearningUniversity of Electronic Sc ience and Technology of China
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