首页|Researchers from Department of Mechanical and Industrial Engineering Report Findings in Machine Learning (Exploring Soot Inception Rate With Stochastic Modelling and Machine Learning)
Researchers from Department of Mechanical and Industrial Engineering Report Findings in Machine Learning (Exploring Soot Inception Rate With Stochastic Modelling and Machine Learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Machine Learning. According to news reportingoriginating from Toronto, Canada, by NewsRx correspondents, research stated, “A diverse range ofpolycyclic aromatic compounds (PACs) is thought to exist in flame environments before and during sootinception. This work seeks to develop a machine learning (ML)-based soot inception model that considersdetailed and diverse PAC properties such as oxygenation, aliphatic content, radical character, size, andshape.”
TorontoCanadaNorth and Central AmericaCyborgsEmerging TechnologiesMachine LearningDepartment of Mechanical and Industrial Engineering
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