Robotics & Machine Learning Daily News2024,Issue(Sep.2) :27-27.

Researchers at Ocean University of China Have Reported New Data on Machine Learn ing (Predicting the Temporal-spatial Distribution of Chlorophyll-a In the Yellow River Estuary Using Explainable Machine Learning)

Robotics & Machine Learning Daily News2024,Issue(Sep.2) :27-27.

Researchers at Ocean University of China Have Reported New Data on Machine Learn ing (Predicting the Temporal-spatial Distribution of Chlorophyll-a In the Yellow River Estuary Using Explainable Machine Learning)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – A new study on Machine Learning is now available. According to news originatingfrom Qingdao, People’s Republic of Chi na, by NewsRx correspondents, research stated, “The water qualityin estuaries i s influenced by both physical and biochemical processes, making it difficult to identify andquantify the main controlling factors of chlorophyll -a (Chl-a) con centration. This study introduces aninterpretable machine learning approach to identify and quantify the dominant control factors determiningChl-a concentrati on in the Yellow River Estuary (YRE).”

Key words

Qingdao/People’s Republic of China/Asi a/Biogeochemicals/Biological Factors/Chemicals/Chlorophyll/Chlorophyllides/Cyborgs/Emerging Technologies/Machine Learning/Metalloporphyrins/Porphyrins/Ocean University of China

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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