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)

Robotics & Machine Learning Daily News2024，Issue(Dec.23) ：7-7.

来源：

NETL
NSTL

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

Abstract

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.”

Key words

Changsha/People’s Republic of China/As ia/Cyborgs/Emerging Technologies/Machine Learning

引用本文复制引用

出版年

2024

Robotics & Machine Learning Daily News

ISSN：

段落导航