首页|New Machine Learning Findings from South China University of Technology Outlined (Modeling Rapidly Discriminative Strategies of Cr Contaminated Soils Through Ma chine Learning)
New Machine Learning Findings from South China University of Technology Outlined (Modeling Rapidly Discriminative Strategies of Cr Contaminated Soils Through Ma chine Learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on Machine Learning have been presented. According to news reporting from Guangzhou, People’s Republic o f China, by NewsRx journalists, research stated, “Soil washing is employed to pr event the issue of Cr re-oxidation following the remediation of Cr-contaminated soil by transferring contaminants from the soil to the wash solution through the dissolving action. Nevertheless, rapidly screening effective washing agents rem ains challenging.” Financial supporters for this research include National Key Research and Develop ment Program of China, National Natural Science Foundation of China (NSFC).
GuangzhouPeople's Republic of ChinaA siaCyborgsEmerging TechnologiesMachine LearningSouth China University of Technology
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