Robotics & Machine Learning Daily News2024,Issue(MAY.3) :84-85.

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)

Robotics & Machine Learning Daily News2024,Issue(MAY.3) :84-85.

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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Abstract

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.”

Key words

Changsha/People’s Republic of China/As ia/Cyborgs/Emerging Technologies/Machine Learning/Organic Chemicals/Volatil e Organic Compounds

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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