首页|Study Findings on Robotics Are Outlined in Reports from China University of Mini ng and Technology (Transformer Discharge Carbon- Trace Detection Based on Improve d MSRCR Image-Enhancement Algorithm and YOLOv8 Model)
Study Findings on Robotics Are Outlined in Reports from China University of Mini ng and Technology (Transformer Discharge Carbon- Trace Detection Based on Improve d MSRCR Image-Enhancement Algorithm and YOLOv8 Model)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Research findings on robotics are discussed in a new report. According to news reporting originatingfrom Xuzhou, People’s Republ ic of China, by NewsRx correspondents, research stated, “It is difficult to visually detect internal defects in a large transformer with a metal closure. For co nvenient internal inspection,a micro-robot was adopted, and an inspection metho d based on an image-enhancement algorithm and animproved deep-learning network was proposed in this paper.”
China University of Mining and Technolog yXuzhouPeople’s Republic of ChinaAsiaAlgorithmsEmerging TechnologiesMachine LearningRobotRobotics
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