首页|Southwest Jiaotong University Reports Findings in Machine Learning (Groundwater suitability assessment for irrigation and drinking purposes by integrating spati al analysis, machine learning, water quality index, and health risk model)
Southwest Jiaotong University Reports Findings in Machine Learning (Groundwater suitability assessment for irrigation and drinking purposes by integrating spati al analysis, machine learning, water quality index, and health risk model)
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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 originating from Sichuan, People’s Repu blic of China, by NewsRx correspondents, research stated, “An in-depth understan ding of nitrate-contaminated surface water and groundwater quality and associate d risks is important for groundwater management. Hydrochemical characteristics a nd driving forces of groundwater quality and non-carcinogenic risks of nitrate w ere revealed by the integrated approaches of self-organizing map analysis, spati al visualization by geography information system, entropy and irrigation water q uality indices, and human health risk model.”
SichuanPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningRisk and Prevention