首页|Southwest University Reports Findings in Machine Learning (Identifying heavy met al sources and health risks in soil-vegetable systems of fragmented vegetable fi elds based on machine learning, positive matrix factorization model and Monte Ca rlo ...)
Southwest University Reports Findings in Machine Learning (Identifying heavy met al sources and health risks in soil-vegetable systems of fragmented vegetable fi elds based on machine learning, positive matrix factorization model and Monte Ca rlo ...)
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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 newsreporting out of Chongqing, People’s Re public of China, by NewsRx editors, research stated, “Urbanfragmented vegetable fields offer fresh produce but pose a potential risk of heavy metal (HM) exposu re.Thus, this study investigated HM sources and health risks in the soil-vegeta ble systems of Chongqing’scentral urban area.”
ChongqingPeople’s Republic of ChinaA siaCyborgsEmerging TechnologiesMachine LearningRisk and Prevention
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