Robotics & Machine Learning Daily News2024,Issue(Apr.16) :103-103.

Data on Machine Learning Described by Researchers at School of Energy Science an d Engineering (Machine-learning-aided Prediction and Optimization of Struvite Re covery From Synthetic Wastewater)

Robotics & Machine Learning Daily News2024,Issue(Apr.16) :103-103.

Data on Machine Learning Described by Researchers at School of Energy Science an d Engineering (Machine-learning-aided Prediction and Optimization of Struvite Re covery From Synthetic Wastewater)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Machine Learning is th e subject of a report. According to newsreporting from Hunan, People’s Republic of China, by NewsRx journalists, research stated, “Struvite recoveryfrom waste water is a promising direction for recovering phosphorus and nitrogen nutrients. However,traditional experiment-basis optimization of struvite crystallization conditions is time-consuming, laborintensive,and limited to the number of vari ables.”

Key words

Hunan/People’s Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learning/School of Energy Science and Engineering

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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