New Machine Learning Findings from China University of Mining and Technology Dis cussed (Accurate Long-term Dust Concentration Prediction In Open-pit Mines: a No vel Machine Learning Approach Integrating Meteorological Conditions and Mine … )

Robotics & Machine Learning Daily News2024，Issue(Mar.18) ：35-36.DOI:10.1016/j.jclepro.2023.140411

来源：

NETL
NSTL
Elsevier

New Machine Learning Findings from China University of Mining and Technology Dis cussed (Accurate Long-term Dust Concentration Prediction In Open-pit Mines: a No vel Machine Learning Approach Integrating Meteorological Conditions and Mine … )

扫码查看

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators discuss new findings in Machine Learning. According to news originating from Xuzhou, People’s Republic o f China, by NewsRx correspondents, research stated, “Amidst the tran- sition from rapid growth to high-quality development in the surface mining industry, mine du st remains a severe public health and safety issue. This study introduces a nove l approach that combines mine production intensity with meteorological condition s to enable accurate daily prediction of dust concentration in open-pit mines.”

Key words

Xuzhou/People’s Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learning/China University of Mining a nd Technology

引用本文复制引用

出版年

2024

Robotics & Machine Learning Daily News

ISSN：

参考文献量38

段落导航