首页|Reports on Support Vector Machines Findings from University of Science and Technology Beijing Provide New Insights (Research on surface defect identification of steel balls based on improved K-CV parameter optimization support vector machine)
Reports on Support Vector Machines Findings from University of Science and Technology Beijing Provide New Insights (Research on surface defect identification of steel balls based on improved K-CV parameter optimization support vector machine)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews - Research findings on are discussed in a new report. According to news originating from Beijing,People’s Republic of China, by NewsRx correspondents, research stated, “Surface defects generated duringthe production process of steel balls can lead to bearing failures, which makes it crucial to promptly detectand classify these defects.”
University of Science and Technology BeijingBeijingPeople’s Republic of ChinaAsiaAlgorithmsEmerging TechnologiesMachine LearningSupport Vector MachinesVector Machines
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