Study Findings from Hebei University of Technology Broaden Understanding of Mach ine Learning (Prediction of Optimal Bioremediation Conditions for Petroleum Hydr ocarbon Contaminated Soil By Automated Machine Learning-based Analysis)

Robotics & Machine Learning Daily News2024，Issue(Dec.30) ：16-16.

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Study Findings from Hebei University of Technology Broaden Understanding of Mach ine Learning (Prediction of Optimal Bioremediation Conditions for Petroleum Hydr ocarbon Contaminated Soil By Automated Machine Learning-based Analysis)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Machine Learn ing have been published. According to newsreporting originating from Tianjin, P eople’s Republic of China, by NewsRx correspondents, research stated,“Petroleum hydrocarbons (PH) contaminated soil has become a long-standing problem. By empl oyingmicroorganisms, plants, or microbial enzymes, bioremediation has the poten tial to detoxify and removecontaminants from soil and water environments.”

Key words

Tianjin/People’s Republic of China/Asi a/Cyborgs/Emerging Technologies/Machine Learning/Hebei University of Technol ogy

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出版年

2024

Robotics & Machine Learning Daily News

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