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)

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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

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Nov.4)