Robotics & Machine Learning Daily News2024,Issue(Apr.9) :80-81.

Yangzhou University Researchers Describe Findings in Machine Learning (Machine-L earning-Based Prediction of Plant Cuticle-Air Partition Coefficients for Organic Pollutants: Revealing Mechanisms from a Molecular Structure Perspective)

Robotics & Machine Learning Daily News2024,Issue(Apr.9) :80-81.

Yangzhou University Researchers Describe Findings in Machine Learning (Machine-L earning-Based Prediction of Plant Cuticle-Air Partition Coefficients for Organic Pollutants: Revealing Mechanisms from a Molecular Structure Perspective)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Researchers detail new data in artific ial intelligence. According to news originating fromYangzhou, People’s Republic of China, by NewsRx correspondents, research stated, “Accurately predictingpla nt cuticle-air partition coefficients (* * K* * [ [ca] ] ) is essential for assessing the eco logical risk oforganic pollutants and elucidating their partitioning mechanisms .”

Key words

Yangzhou University/Yangzhou/People’s Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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