Robotics & Machine Learning Daily News2024,Issue(Jul.17) :72-73.

Findings in Engineering Reported from Nanjing University of Aeronautics and Astr onautics (A New Surface Roughness Measurement Method Based On Qr-svm)

Robotics & Machine Learning Daily News2024,Issue(Jul.17) :72-73.

Findings in Engineering Reported from Nanjing University of Aeronautics and Astr onautics (A New Surface Roughness Measurement Method Based On Qr-svm)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Researchers detail new data in Enginee ring. According to news originating fromNanjing, People’s Republic of China, by NewsRx correspondents, research stated, “In this paper, a methodfor detecting surface roughness in machining processes is proposed to solve the problem of low detection accuracy caused by a small sample size in machine vision detection. T he proposed method combines QRdecomposition with the support vector machine (SV M) classifier to accurately assess surface roughness.”

Key words

Nanjing/People’s Republic of China/Asi a/Engineering/Emerging Technologies/Machine Learning/Machine Vision/Nanjing University of Aeronautics and Astronautics

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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