首页|Jiangsu University of Science and Technology Reports Findings in Machine Learnin g [Assessment and prediction of Water Quality Index (WQI) by seasonal key water parameters in a coastal city: application of machine learning models]
Jiangsu University of Science and Technology Reports Findings in Machine Learnin g [Assessment and prediction of Water Quality Index (WQI) by seasonal key water parameters in a coastal city: application of machine learning models]
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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 originating from Zhenjiang, P eople’s Republic of China, by NewsRx correspondents, research stated, “The Water Quality Index (WQI) provides comprehensive assessments in river systems; howeve r, its calculation involves numerous water quality parameters, costly in sample collection and laboratory analysis. The study aimed to determine key water param eters and the most reliable models, considering seasonal variations in the water environment, to maximize the precision of WQI prediction by a minimal set of wa ter parameters.”
ZhenjiangPeople’s Republic of ChinaA siaCyborgsEmerging TechnologiesMachine Learning
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