Data on Machine Learning Discussed by Researchers at Sichuan University (Migrati on of Total Petroleum Hydrocarbon and Heavy Metal Contaminants In the Soil-groun dwater Interface of a Petrochemical Site Using Machine Learning: Impacts of ...)

Robotics & Machine Learning Daily News2024，Issue(Nov.1) ：60-61.

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Data on Machine Learning Discussed by Researchers at Sichuan University (Migrati on of Total Petroleum Hydrocarbon and Heavy Metal Contaminants In the Soil-groun dwater Interface of a Petrochemical Site Using Machine Learning: Impacts of ...)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on Machine Learning are pre sented in a new report. According to news originating from Chengdu, People’s Rep ublic of China, by NewsRx correspondents, research stated, “Convection and diffu sion are key pathways for the migration of total petroleum hydrocarbons (TPH) an d heavy metals (HMs) from soil to groundwater. However, the extent of their infl uence on pollutant migration, as well as the nonlinear relationships between the se processes and pollutants, remains unclear.”

Key words

Chengdu/People’s Republic of China/Asi a/Cyborgs/Emerging Technologies/Machine Learning/Sichuan University

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出版年

2024

Robotics & Machine Learning Daily News

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