首页|Guangdong University of Petrochemical Technology Reports Findings in Machine Lea rning (Machine learning-assisted fluorescence visualization for sequential quant itative detection of aluminum and fluoride ions)
Guangdong University of Petrochemical Technology Reports Findings in Machine Lea rning (Machine learning-assisted fluorescence visualization for sequential quant itative detection of aluminum and fluoride ions)
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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 reporting from Maoming, People’s Republ ic of China, by NewsRx journalists, research stated, “The presence of aluminum ( Al) and fluoride (F) ions in the environment can be harmful to ecosystems and hu man health, highlighting the need for accurate and efficient monitoring. In this paper, an innovative approach is presented that leverages the power of machine learning to enhance the accuracy and efficiency of fluorescence-based detection for sequential quantitative analysis of aluminum (Al) and fluoride (F) ions in a queous solutions.”
MaomingPeople’s Republic of ChinaAsiaAluminumAnionsCyborgsEmerging TechnologiesFluoridesHydrofluoric AcidLight MetalsMachine Learning
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