Estimating Ore Production in Open-pit Mines Using Various Machine Learning Algorithms Based on a Truck-Haulage System and Support of Internet of Things-Reference-Cited by-同舟云学术

Estimating Ore Production in Open-pit Mines Using Various Machine Learning Algorithms Based on a Truck-Haulage System and Support of Internet of Things

Published:2020-10-19 Issue:2 Volume:30 Page:1141-1173
ISSN:1520-7439
Container-title:Natural Resources Research
language:en
Short-container-title:Nat Resour Res

Author:

Choi Yosoon,Nguyen Hoang^ORCID,Bui Xuan-Nam^ORCID,Nguyen-Thoi Trung,Park Sebeom

Publisher

Springer Science and Business Media LLC

Subject

General Environmental Science

Link

https://link.springer.com/content/pdf/10.1007/s11053-020-09766-5.pdf

Reference99 articles.

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3. Baek, J., & Choi, Y. (2019a). Deep neural network for ore production and crusher utilization prediction of truck haulage system in underground mine. Applied Sciences, 9(19), 4180.

4. Baek, J., & Choi, Y. (2019b). Simulation of truck haulage operations in an underground mine using big data from an ICT-based mine safety management system. Applied Sciences, 9(13), 2639.

5. Baek, J., & Choi, Y. (2020). Deep neural network for predicting ore production by truck-haulage systems in open-pit mines. Applied Sciences, 10(5), 1657.

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