Robotics & Machine Learning Daily News2024,Issue(Mar.28) :50-51.

Investigators from China University of Petroleum (East China) Target Machine Lea rning (Analysis of the Particle Characteristics of Solid-liquid Turbulent Flow By Triaxial Vibration Statistic and Machine Learning Methods)

Robotics & Machine Learning Daily News2024,Issue(Mar.28) :50-51.

Investigators from China University of Petroleum (East China) Target Machine Lea rning (Analysis of the Particle Characteristics of Solid-liquid Turbulent Flow By Triaxial Vibration Statistic and Machine Learning Methods)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Investigators publish new report on Ma chine Learning. According to news reporting originating from Qingdao, People's R epublic of China, by NewsRx correspondents, research stated, “The real-time moni toring of particle information in turbulent flow is critical for safe and effici ent production. A new method based on the fusion of particle-wall free collision and triaxial vibration method are proposed to measure particle information in t urbulent flow.”

Key words

Qingdao/People's Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learning/China University of Petrole um (East China)

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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