首页|Hunan University Reports Findings in Machine Learning (Integration of nontarget analysis with machine learning modeling for prioritization of odorous volatile o rganic compounds in surface water)
Hunan University Reports Findings in Machine Learning (Integration of nontarget analysis with machine learning modeling for prioritization of odorous volatile o rganic compounds in surface water)
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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 newsoriginating from Changsha, People’s Rep ublic of China, by NewsRx correspondents, research stated,“Assessing the odor r isk caused by volatile organic compounds (VOCs) in water has been a big challenge for water quality evaluation due to the abundance of odorants in water and the inherent difficulty inobtaining the corresponding odor sensory attributes. Her e, a novel odor risk assessment approach has been established, incorporating non target screening for odorous VOC identification and machine learning(ML) modeli ng for odor threshold prediction.”
ChangshaPeople’s Republic of ChinaAs iaCyborgsEmerging TechnologiesMachine LearningOrganic ChemicalsVolatil e Organic Compounds
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