Robotics & Machine Learning Daily News2024,Issue(Aug.2) :104-105.

New Findings from Yangtze University in Machine Learning Provides New Insights ( A Diagnosis Method for Loss of Circulation Based On Transient-pressure Wave Anal ysis and Particle Swarm Optimization)

Robotics & Machine Learning Daily News2024,Issue(Aug.2) :104-105.

New Findings from Yangtze University in Machine Learning Provides New Insights ( A Diagnosis Method for Loss of Circulation Based On Transient-pressure Wave Anal ysis and Particle Swarm Optimization)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Data detailed on Machine Learning have been presented. According to news reportingoriginating from Wuhan, People’s Re public of China, by NewsRx correspondents, research stated, “Lostcirculation du ring operations poses a significant threat to production processes. In the searc h for aneffective detection method, an impulse-response detection method of los t circulation is introduced.”

Key words

Wuhan/People’s Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learning/Particle Swarm Optimization/Yangtze University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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