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    Investment competition on dedicated terminals under demand ambiguity

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    202208 bcwwNot applicableOthersNational Key Research and Development Program of China; National Science Foundation of China; The Social Science and Humanities Research Council of CanadaPublished36 month

    Research on surface defect detection method of metallurgical saw blade based on YOLOV5

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    As a typical cutting tool with good performance and high processing efficiency, metallurgical saw blades are widely used in various industries, but surface defects are inevitably generated in the manufacturing process. To solve this problem, this paper proposes a YOLOv5-based surface defect detection model for product quality, which can distinguish three common metallurgical sawblade surface defects with mAP value of 96,1 % in each defect category detection of metallurgical sawblades and detection time of 139,8 ms per image

    Search for vector-boson resonances decaying into a top quark and a bottom quark using pp collisions at s = 13 TeV with the ATLAS detector