首页|Zhejiang University Reports Findings in Machine Learning (Predicting thermal des orption efficiency of PAHs in contaminated sites based on an optimized machine learning approach)
Zhejiang University Reports Findings in Machine Learning (Predicting thermal des orption efficiency of PAHs in contaminated sites based on an optimized machine learning approach)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is th e subject of a report. According to news reporting from Zhejiang, People’s Repub lic of China, by NewsRx journalists, research stated, “Thermal desorption (TD) r emediation of polycyclic aromatic hydrocarbon (PAH)-contaminated sites is known for its high energy consumption and cost implications. The key to solving this i ssue lies in analyzing the PAHs desorption process, defining remediation endpoin ts, and developing prediction models to prevent excessive remediation.”
ZhejiangPeople’s Republic of ChinaAs iaCyborgsEmerging TechnologiesMachine Learning
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