首页|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)
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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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.”
TianjinPeople’s Republic of ChinaAsi aCyborgsEmerging TechnologiesMachine LearningTianjin University
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