Robotics & Machine Learning Daily News2024,Issue(Aug.7) :23-24.

Hebei University of Technology Researcher Reports on Findings in Machine Learnin g (A Review of Fluoride Removal from Phosphorous Gypsum: A Quantitative Analysis via a Machine Learning Approach)

Robotics & Machine Learning Daily News2024,Issue(Aug.7) :23-24.

Hebei University of Technology Researcher Reports on Findings in Machine Learnin g (A Review of Fluoride Removal from Phosphorous Gypsum: A Quantitative Analysis via a Machine Learning Approach)

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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 originating from Tianjin , People’s Republic of China, by NewsRx correspondents, research stated,“This r eview comprehensively explores fluoride removal from phosphogypsum, focusing on its composition,fluorine-containing compounds, characterization methods, and de fluorination techniques. It initiallyoutlines the elemental composition of phos phogypsum prevalent in major production regions and infersthe presence of fluor ine compounds based on these constituents.”

Key words

Hebei University of Technology/Tianjin/People’s Republic ofChina/Asia/Anions/Cyborgs/Emerging Technologies/Fluor ides/Fluorine/Halogens/Hydrofluoric Acid/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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