Robotics & Machine Learning Daily News2024,Issue(Apr.18) :47-48.

Studies in the Area of Machine Learning Reported from Wuhan Polytechnic Universi ty (Structure-activity Relationship Study of Anti-wear Additives In Rapeseed Oil Based On Machine Learning and Logistic Regression)

Robotics & Machine Learning Daily News2024,Issue(Apr.18) :47-48.

Studies in the Area of Machine Learning Reported from Wuhan Polytechnic Universi ty (Structure-activity Relationship Study of Anti-wear Additives In Rapeseed Oil Based On Machine Learning and Logistic Regression)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on Machine Learning are discussed in a new report. According tonews originating from Wuhan, People’ s Republic of China, by NewsRx correspondents, research stated,“Anti-wear perfo rmance is a crucial quality of lubricants, and it is important to conduct resear ch intothe structure-activity relationship of anti-wear additives in bio-based lubricants. These lubricants are ecofriendlyand energy-efficient.”

Key words

Wuhan/People’s Republic of China/Asia/Chemicals/Cyborgs/Emerging Technologies/Lubricants/Machine Learning/Phosph oric Acid/Wuhan Polytechnic University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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