Robotics & Machine Learning Daily News2024,Issue(Jul.17) :85-86.

Reports from Tianjin University Advance Knowledge in Machine Learning (Machine L earning-based Screening of Fuel Properties for Si and Ci Engines Using a Hybrid Group Extraction Method)

Robotics & Machine Learning Daily News2024,Issue(Jul.17) :85-86.

Reports from Tianjin University Advance Knowledge in Machine Learning (Machine L earning-based Screening of Fuel Properties for Si and Ci Engines Using a Hybrid Group Extraction Method)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators discuss new findings in Machine Learning. According to news originatingfrom Tianjin, People’s Republic of China, by NewsRx correspondents, research stated, “The design ofhigh-perform ance fuels is crucial for achieving clean and efficient combustion of engines. I n the currentstudy, a framework for machine learning (ML) model-based fuel desi gn is presented to identify compoundswith desired properties for internal combu stion engine (ICE) applications.”

Key words

Tianjin/People’s Republic of China/Asi a/Cyborgs/Emerging Technologies/Machine Learning/Tianjin University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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