首页|Findings in the Area of Machine Learning Reported from Schoolof Resources & Safety Engineering (Tree-based Machine LearningModels for Enhanced Large-scale Soil Mn Classification By Integrating Visible-near Infrared Spectroscopy)
Findings in the Area of Machine Learning Reported from Schoolof Resources & Safety Engineering (Tree-based Machine LearningModels for Enhanced Large-scale Soil Mn Classification By Integrating Visible-near Infrared Spectroscopy)
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 – Current study results on Machine Learn ing have been published. According to newsreporting originating from Changsha, People’s Republic of China, by NewsRx correspondents, researchstated, “PurposeG iven the growing concern over soil heavy metal contamination, there is an increa singneed for affordable and precise soil heavy metal information. In particular , efficient and cost-effectivemethods for detecting soil manganese (Mn), a heav y metal element that is also essential for life processes,hold significant impo rtance.”
ChangshaPeople’s Republic of ChinaAs iaCyborgsEmerging TechnologiesMachine LearningSchool of Resources & Safety Engineering
NETL
NSTL
