Robotics & Machine Learning Daily News2024,Issue(Mar.14) :43-43.

Zhejiang University Reports Findings in Machine Learning (Predicting thermal des orption efficiency of PAHs in contaminated sites based on an optimized machine learning approach)

Robotics & Machine Learning Daily News2024,Issue(Mar.14) :43-43.

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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Abstract

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.”

Key words

Zhejiang/People’s Republic of China/As ia/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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