首页|Central South University Reports Findings in Machine Learning (Natural factor-ba sed spatial prediction and source apportionment of typical heavy metals in Chine se surface soil: Application of machine learning models)
Central South University Reports Findings in Machine Learning (Natural factor-ba sed spatial prediction and source apportionment of typical heavy metals in Chine se surface soil: Application of machine learning 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 th e subject of a report. According to newsreporting from Changsha, People’s Repub lic of China, by NewsRx journalists, research stated, “Predictingthe natural di stribution of heavy metals (HMs) in soil is important to understand the potentia l riskof pollution. However, suitable technologies are still lacking for wide s cale due to the large spatialheterogeneity.”
ChangshaPeople’s Republic of ChinaAs iaCyborgsEmerging TechnologiesMachine Learning
NETL
NSTL
