Recent Advances in Smart Mining Technology
Source abstract
Abstract
Mining is a crucial industry for our modern society, providing valuable resources that fuel our economies and drive technological progress [...]
Only a short abstract or summary was supplied by the source.
Source: crossref · Quality: short
Research context
OpenAlex topics: Mineral Processing and Grinding · Mining Techniques and Economics · Belt Conveyor Systems Engineering
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Energy Resources Engineering, Pukyong National University, Busan 48513, Republic of Korea
Funding
Korean government (MOTIE)
References (9)
Show source-provided references
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., 11.10.3390/app11104525 ↗
2. Kim, Y., Baek, J., and Choi, Y. (2021). Smart Helmet-Based Personnel Proximity Warning System for Improving Underground Mine Safety. Appl. Sci., 11.10.3390/app11104342 ↗
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., 10.10.3390/app10145018 ↗
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., 12.10.3390/app122010397 ↗
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., 11.10.3390/app11094301 ↗
6. Zhao, S., Wang, L., Zhao, Z., and Bi, L. (2022). Study on the Autonomous Walking of an Under-ground Definite Route LHD Machine Based on Reinforcement Learning. Appl. Sci., 12.10.3390/app12105052 ↗
7. Kim, H., and Choi, Y. (2022). Lab Scale Model Experiment of Smart Hopper System to Remove Blockages Using Machine Vision and Collaborative Robot. Appl. Sci., 12.10.3390/app12020579 ↗
8. Zhao, Z., and Bi, L. (2020). A New Challenge: Path Planning for Autonomous Truck of Open-Pit Mines in The Last Transport Section. Appl. Sci., 10.10.3390/app10186622 ↗
9. Kim, H., and Choi, Y. (2020). Comparison of Three Location Estimation Methods of an Autonomous Driving Robot for Underground Mines. Appl. Sci., 10.10.3390/app10144831 ↗