首页|Nanjing University Reports Findings in Machine Learning [Expl oring the primary magnetic parameters affecting chemical fractions of heavy meta l(loid)s in lake sediment through an interpretable workflow]
Nanjing University Reports Findings in Machine Learning [Expl oring the primary magnetic parameters affecting chemical fractions of heavy meta l(loid)s in lake sediment through an interpretable workflow]
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 Nanjing, People's Repu blic of China, by NewsRx editors, research stated, "The magnetic properties of l ake sediments account for close relationships with heavy metal(loid)s (HMs), but little is known about their relationships with chemical fractions (CFs) of HMs. Establishing an effective workflow to predict HMs risk among various machine le arning (ML) methods in conjunction with magnetic measurement remains challenging ."
NanjingPeople's Republic of ChinaAsi aCyborgsEmerging TechnologiesMachine Learning
NETL
NSTL
