首页|Sichuan University Reports Findings in Machine Learning (Integrating Chemical Me chanisms and Feature Engineering in Machine Learning Models: A Novel Approach to Analyzing HONO Budget)
Sichuan University Reports Findings in Machine Learning (Integrating Chemical Me chanisms and Feature Engineering in Machine Learning Models: A Novel Approach to Analyzing HONO Budget)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is th e subject of a report. According to news originatingfrom Chengdu, People’s Repu blic of China, by NewsRx correspondents, research stated, “Nitrousacid (HONO) s erves as the primary source of OH radicals in the atmosphere, exerting significa nt impactson atmospheric secondary pollution. The heterogeneous reactions of NO on surfaces and photolysis ofparticulate nitrate or adsorbed nitric acid are i mportant sources of atmospheric HONO, yet the correspondingkinetic parameters b ased on laboratory investigations and field observations exhibit considerableva riations.”
ChengduPeople’s Republic of ChinaAsi aChemicalsCyborgsEmerging TechnologiesEngineeringMachine LearningNit ric Acid
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