Robotics & Machine Learning Daily News2024,Issue(MAY.1) :19-19.

Zhejiang University Reports Findings in Machine Learning (Predicting removal eff iciency of organic pollutants by soil vapor extraction based on an optimized mac hine learning method)

Robotics & Machine Learning Daily News2024,Issue(MAY.1) :19-19.

Zhejiang University Reports Findings in Machine Learning (Predicting removal eff iciency of organic pollutants by soil vapor extraction based on an optimized mac hine learning method)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is th e subject of a report. According to news originatingfrom Zhejiang, People’s Rep ublic of China, by NewsRx correspondents, research stated, “Soil vaporextractio n (SVE) was a cost-effective technology for remediating volatile and semi-volati le organic contaminatedsoils. Many factors, including SVE parameters, soil prop erties, and contaminant characteristics,significantly influenced the remediatio n efficiency of SVE.”

Key words

Zhejiang/People’s Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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