首页|Wuhan Textile University Reports Findings in Machine Learning (Machine learning- driven prediction of phosphorus adsorption capacity of biochar: Insights for ads orbent design and process optimization)
Wuhan Textile University Reports Findings in Machine Learning (Machine learning- driven prediction of phosphorus adsorption capacity of biochar: Insights for ads orbent design and process optimization)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
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 out of Wuhan, People’s Republ ic of China, by NewsRx editors, research stated, “Phosphorus (P) pollution in aq uatic environments poses significant environmental challenges, necessitating the development of effective remediation strategies, and biochar has emerged as a p romising adsorbent for P removal at the cost of extensive research resources wor ldwide. In this study, a machine learning approach was proposed to simulate and predict the performance of biochar in removing P from water.”
WuhanPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningPhosphorus
NETL
NSTL
