首页|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)
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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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.”
HunanPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningSchool of Energy Science and Engineering
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