首页|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)
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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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.”
ZhejiangPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine Learning
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