Recent Advances in Smart Mining Technology-Reference-Cited by-同舟云学术

Recent Advances in Smart Mining Technology

Published:2023-03-15 Issue:6 Volume:13 Page:3726
ISSN:2076-3417
Container-title:Applied Sciences
language:en
Short-container-title:Applied Sciences

Author:

Choi Yosoon¹^ORCID

Affiliation:

1. Department of Energy Resources Engineering, Pukyong National University, Busan 48513, Republic of Korea

Abstract

Mining is a crucial industry for our modern society, providing valuable resources that fuel our economies and drive technological progress [...]

Funder

Korean government

Publisher

MDPI AG

Subject

Fluid Flow and Transfer Processes,Computer Science Applications,Process Chemistry and Technology,General Engineering,Instrumentation,General Materials Science

Link

https://www.mdpi.com/2076-3417/13/6/3726/pdf

Reference9 articles.

1. Park, S., and Choi, Y. (2021). Analysis and Diagnosis of Truck Transport Routes in Underground Mines Using Transport Time Data Collected through Bluetooth Beacons and Tablet Computers. Appl. Sci., 11.

2. Kim, Y., Baek, J., and Choi, Y. (2021). Smart Helmet-Based Personnel Proximity Warning System for Improving Underground Mine Safety. Appl. Sci., 11.

3. Kim, S.-M., Choi, Y., and Suh, J. (2020). Applications of the Open-Source Hardware Arduino Platform in the Mining Industry: A Review. Appl. Sci., 10.

4. Wang, L., Wu, M., Chen, H., Hao, D., Tian, Y., and Qi, C. (2022). Efficient Machine Learning Models for the Uplift Behavior of Helical Anchors in Dense Sand for Wind Energy Harvesting. Appl. Sci., 12.

5. Jung, D., Baek, J., and Choi, Y. (2021). Stochastic Predictions of Ore Production in an Under-ground Limestone Mine Using Different Probability Density Functions: A Comparative Study Using Big Data from ICT System. Appl. Sci., 11.

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