Findings from China University of Geosciences Update Understanding of Machine Learning (Employing Machine Learning To Predict the Occurrence and Spatial Variability of High Fluoride Groundwater In Intensively Irrigated Areas)
Findings from China University of Geosciences Update Understanding of Machine Learning (Employing Machine Learning To Predict the Occurrence and Spatial Variability of High Fluoride Groundwater In Intensively Irrigated Areas)
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Machine Learn ing have been published. According to news reporting originating in Wuhan, People’s Republic of China, by NewsRx journalists, research stated, “Groundwater serv es as a vital source of drinking water in the Hetao Basin of northwestern China. However, the occurrence and intense spatial variability of high fluoride (F -> 1.5 mg/L) groundwater poses a significant health threat to local residents.”
Key words
Wuhan/People’s Republic of China/Asia/Anions/Cyborgs/Emerging Technologies/Fluorides/Hydrofluoric Acid/Machine Learning/China University of Geosciences
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