Robotics & Machine Learning Daily News2024,Issue(Aug.23) :92-92.

New Machine Learning Research from Central South University of Forestry and Tech nology Discussed (Machine learning prediction of copper ion interference with me rcury ion fluorescence signals in food heavy metal detection)

Robotics & Machine Learning Daily News2024,Issue(Aug.23) :92-92.

New Machine Learning Research from Central South University of Forestry and Tech nology Discussed (Machine learning prediction of copper ion interference with me rcury ion fluorescence signals in food heavy metal detection)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on artificial intell igence are discussed in a new report. According tonews reporting originating fr om Hunan, People’s Republic of China, by NewsRx correspondents, researchstated, “To construct an artificial intelligence prediction model to predict the select ivity of fluorescentprobes for Hg2+ in a complex food testing environment in the presence of Cu2+ interference.”

Key words

Central South University of Forestry and Technology/Hunan/People’s Republic of China/Asia/Cyborgs/Emerging Technolo gies/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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