Robotics & Machine Learning Daily News2024,Issue(Jul.1) :77-78.

New Machine Learning Findings from South China University of Technology Outlined (Modeling Rapidly Discriminative Strategies of Cr Contaminated Soils Through Ma chine Learning)

华南理工大学机器学习的新发现概述(通过机器学习建立铬污染土壤快速判别策略模型)

Robotics & Machine Learning Daily News2024,Issue(Jul.1) :77-78.

New Machine Learning Findings from South China University of Technology Outlined (Modeling Rapidly Discriminative Strategies of Cr Contaminated Soils Through Ma chine Learning)

华南理工大学机器学习的新发现概述(通过机器学习建立铬污染土壤快速判别策略模型)

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摘要

由一名新闻记者兼机器人与机器学习的工作人员新闻编辑每日新闻-关于机器学习的详细数据已经呈现。据NewsRx记者从中国广州发回的新闻报道,研究表明:“土壤洗涤是指通过溶解作用将污染物从土壤转移到洗涤液中,修复铬污染土壤后,铬再氧化的问题。然而,快速筛选有效的洗涤剂仍然是一个挑战。”本研究的资金来源包括国家重点研究开发项目、国家自然科学基金(NSFC)。

Abstract

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).

Key words

Guangzhou/People's Republic of China/A sia/Cyborgs/Emerging Technologies/Machine Learning/South China University of Technology

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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