首页|Researchers at Shanghai Jiao Tong University Release New Study Findings on Machi ne Learning (Predicting Coastal Water Quality with Machine Learning, a Case Stud y of Beibu Gulf, China)
Researchers at Shanghai Jiao Tong University Release New Study Findings on Machi ne Learning (Predicting Coastal Water Quality with Machine Learning, a Case Stud y of Beibu Gulf, China)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Data detailed on artificial intelligen ce have been presented. According to news reporting from Shanghai, People's Repu blic of China, by NewsRx journalists, research stated, "Coastal ecosystems are f acing critical water quality deterioration, while the most convenient passage to the South China Sea, Beibu Gulf, has been under considerable pressure to its ec ological environment due to rapid development and urbanization. In this study, w e characterized the spatiotemporal change in the water quality in Beibu Gulf and proposed a machine learning approach to predict the water pollution level in Be ibu Gulf on the basis of 5-year (2018-2022) observation data of ten water qualit y parameters from ten selected sites." Financial supporters for this research include Key Research And Development Prog ram of Guangxi Zhuang Autonomous Region.
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