首页|Sun Yat-Sen University Reports Findings in Machine Learning (Insights into the t ransformation of natural organic matter during UV/peroxydisulfate treatment by F T-ICR MS and machine learning: Non-negligible formation of organosulfates)
Sun Yat-Sen University Reports Findings in Machine Learning (Insights into the t ransformation of natural organic matter during UV/peroxydisulfate treatment by F T-ICR MS and machine learning: Non-negligible formation of organosulfates)
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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 newsreporting originating in Guangzhou, Peo ple’s Republic of China, by NewsRx journalists, research stated,“Natural organi c matter (NOM) is a major sink of radicals in advanced oxidation processes (AOPs ) andunderstanding the transformation of NOM is important in water treatment. B y using Fourier transformion cyclotron resonance mass spectrometry (FT-ICR MS) in conjunction with machine learning, we comprehensivelyinvestigated the reacti vity and transformation of NOM, and the formation of organosulfatesduring the U V/peroxydisulfate (PDS) process.”
GuangzhouPeople’s Republic of ChinaA siaCyborgsEmerging TechnologiesMachine Learning
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