首页|Harbin Institute of Technology Reports Findings in Machine Learning (Discovery o f an End-to-End Pattern for Contaminant-Oriented Advanced Oxidation Processes Ca talyzed by Biochar with Explainable Machine Learning)
Harbin Institute of Technology Reports Findings in Machine Learning (Discovery o f an End-to-End Pattern for Contaminant-Oriented Advanced Oxidation Processes Ca talyzed by Biochar with Explainable Machine Learning)
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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 newsoriginating from Harbin, People’s Repub lic of China, by NewsRx correspondents, research stated, “Theutilization of bio char-catalyzed peroxymonosulfate in advanced oxidation processes (BC-PMS AOPs) i swidely acknowledged as an effective and economical method for mitigating emerg ing contaminants (ECs).Especially, state-of-the-art machine learning (ML) techn ology has been employed to accurately predictthe reaction rate constants of EC degradation in BC-PMS AOPs, primarily focusing on three aspects:performance pre diction, operating condition optimization, and mechanism interpretation.”
HarbinPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine Learning
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