首页|Report Summarizes Machine Learning Study Findings from Chinese Academy of Scienc es (Monitoring of Total Phosphorus in Urban Water Bodies Using Silicon Crystal-B ased FTIR-ATR Coupled with Different Machine Learning Approaches)
Report Summarizes Machine Learning Study Findings from Chinese Academy of Scienc es (Monitoring of Total Phosphorus in Urban Water Bodies Using Silicon Crystal-B ased FTIR-ATR Coupled with Different Machine Learning Approaches)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators discuss new findings in artificial intelligence. According to news reporting from Nanjing, People’s Repu blic of China, by NewsRx journalists, research stated, “Eutrophication occurs fr equently in urban water bodies, and rapid measurement of phosphorus (P) is neede d for water quality control, since P has been one of the limiting factors.” Funders for this research include National Natural Science Foundation of China.
Chinese Academy of SciencesNanjingPe ople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningPhosphorus
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