Machine learning for open-pit mining: a systematic review-Reference-Cited by-同舟云学术

Machine learning for open-pit mining: a systematic review

Published:2024-06-20 Issue: Volume: Page:1-39
ISSN:1748-0930
Container-title:International Journal of Mining, Reclamation and Environment
language:en
Short-container-title:International Journal of Mining, Reclamation and Environment

Author:

Liu Shi Qiang¹^ORCID,Liu Lizhu¹^ORCID,Kozan Erhan²^ORCID,Corry Paul²^ORCID,Masoud Mahmoud³^ORCID,Chung Sai‑Ho⁴^ORCID,Li Xiangong⁵^ORCID

Affiliation:

1. School of Economics and Management, Fuzhou University, Fuzhou, China

2. School of Mathematical Sciences, Queensland University of Technology, Brisbane, Australia

3. Department of Information Systems and Operations Management and Interdisciplinary Research Center for Smart Mobility and Logistics, King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia

4. Department of Industrial and Systems Engineering, Hong Kong Polytechnic University, Hung Hom, Hong Kong

5. School of Mines, China University of Mining and Technology, Xuzhou, China

Funder

National Natural Science Foundation of China

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/17480930.2024.2362579

Reference213 articles.

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3. Environmental and economic assessment of the possibilities to increase the land preservation level in terms of open-pit mining

4. Surface Mining Technology: Progress and Prospects

5. Gold Mining in the Amazon Region of Ecuador: History and a Review of Its Socio-Environmental Impacts