首页|Universiti Tenaga Nasional Reports Findings in Machine Learning (Machine learnin g based-model to predict catalytic performance on removal of hazardous nitrophen ols and azo dyes pollutants from wastewater)
Universiti Tenaga Nasional Reports Findings in Machine Learning (Machine learnin g based-model to predict catalytic performance on removal of hazardous nitrophen ols and azo dyes pollutants from wastewater)
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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 Selangor, Malaysia, by NewsRx correspondents, research stated, “To maintain humanhealth and purity of drinking water, it is crucial to eliminate harmful chemicals such as nitropheno lsand azo dyes, considering their natural presence in the surroundings. In this particular research study, theapplication of machine learning techniques was e mployed in order to make an estimation of the performanceof reduction catalysis in the context of ecologically detrimental nitrophenols and azo dyes contaminan ts.”
SelangorMalaysiaAsiaCyborgsEmerg ing TechnologiesMachine LearningNitro CompoundsNitrophenolsPhenols
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