Robotics & Machine Learning Daily News2024,Issue(Jan.22) :66-67.

Recent Findings from Chongqing Technology and Business Institute Highlight Research in Support Vector Machines (Abnormal noise identification of engines based on wavelet packet transform and bispectrum analysis)

Robotics & Machine Learning Daily News2024,Issue(Jan.22) :66-67.

Recent Findings from Chongqing Technology and Business Institute Highlight Research in Support Vector Machines (Abnormal noise identification of engines based on wavelet packet transform and bispectrum analysis)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Researchers detail new data in support vector machines. According to news originatingfrom Chongqing, People’s Republic of China, by NewsRx correspondents, research stated, “Abnormal noiseis the most prominent problem for motorcycles and affects the consumers’ purchasing desire and drivingexperience and the enterprise’s competitiveness. Usually, the noise from a newly assembled engine isdetected by manual auscultation (MA) to determine if the engine is operating normally.”

Key words

Chongqing Technology and Business Institute/Chongqing/People’s Republic of China/Asia/Emerging Technologies/Machine Learning/Support Vector Machines/Vector Machines

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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