首页|New Findings on Machine Learning from Jiangxi Normal University Summarized (A Ne w Approach To Estimate Total Nitrogen Concentration In a Seasonal Lake Based On Multi-source Data Methodology)
New Findings on Machine Learning from Jiangxi Normal University Summarized (A Ne w Approach To Estimate Total Nitrogen Concentration In a Seasonal Lake Based On Multi-source Data Methodology)
扫码查看
点击上方二维码区域,可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on Machine Learning are pre sented in a new report. According to news originating from Nanchang, People’s Re public of China, by NewsRx correspondents, research stated, “Nitrogen, a key lim iter in lake eutrophication, presents serious threats to both human health and e cological balance. Despite its non-optically active nature, this study introduce s an advanced retrieval approach for total nitrogen, utilizing a synthesis of mu lti-source data and sophisticated machine learning algorithms to markedly boost estimation precision.”
NanchangPeople’s Republic of ChinaAs iaCyborgsEmerging TechnologiesMachine LearningNitrogenJiangxi Normal U niversity