首页|Data on Machine Learning Reported by Shunjun Ma and Colleagues (Using machine learning to trace the pollution sources of disinfection by-products precursors compared to receptor models)
Data on Machine Learning Reported by Shunjun Ma and Colleagues (Using machine learning to trace the pollution sources of disinfection by-products precursors compared to receptor models)
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 DailyNews Daily News – New research on Machine Learning is the subject of a report. According to newsreporting originating from Shanghai, People’s Republic of China, by NewsRx correspondents, research stated, “To increase the efficiency of managing backup water resources, it is critical to identify and allocatepollution sources. Source apportionment of dissolved organic matter (DOM) was investigated in our work.”
ShanghaiPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine Learning
NETL
NSTL
