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Muller R., Gale W., Roberts D., 2018 The digital revolution: Mining starts to reinvent the future. McKinsey & Company. Retrieved from https://www.mckinsey.com/industries/metals-and-mining/our-insights/the-digital-revolution-mining-starts-to-reinvent-the-futureSearch in Google Scholar
Sun Q., Xu Y., Yang K., Li Y., Huang Y., 2020 Application of Internet of Things (IoT) in sustainable mining development. Journal of Cleaner Production, 256, 120300. https://doi.org/10.1016/j.jclepro.2020.120300Search in Google Scholar
Peters S., Doyon N., Mueller S., 2018 How virtual reality is shaping the future of mining training. Deloitte. Retrieved from https://www2.deloitte.com/ca/en/pages/energy-and-resources/articles/how-virtual-reality-is-shaping-the-future-of-mining-training.htmlSearch in Google Scholar
Wen Z., Li X., Zhang L., Song X., 2018 Intelligent mining technology for an underground metal mine based on unmanned equipment. Tunnelling and Underground Space Technology, 81, 511-519. https://doi.org/10.1016/j.tust.2018.08.048Search in Google Scholar
Tobias R., Verma A.K., Singh T.N., 2019 Mine planning and scheduling optimization for sustainable mining operations. Resources Policy, 61, 151-159. https://doi.org/10.1016/j.resourpol.2019.02.004Search in Google Scholar
Chandrahas N.S., Choudhary B.S., Teja V.M., Venkatramayya M.S., Prasad K.N.S.R., 2022 XGBoost Algorithm to Simultaneous Prediction of Rock Fragmentation and Induced Ground Vibration Using Unique Blast Data, AppliedSciences, 2022, 12, 5629.Search in Google Scholar
Fuerst J., Li L., Liu J., 2020 Mining Big Data for Optimization of Mineral Processing Operations. Minerals Engineering, 155, 106572Search in Google Scholar
Chandrahas N.S., Choudhary B.S., Venkataramayya M.S., 2023 Competitive algorithm to balance and predict blasting outcomes using measured field data sets. Comput Geosci, https://doi.org/10.1007/s10596-023-10254-xSearch in Google Scholar
Chandrahas N. S., Fissha Y., Choudhary B. S., Olamide Taiwo B., Venkataramayya M. S., Adachi T., 2024 Experimental data – driven algorithm to predict muckpile characteristics in jointed overburden bench using unmanned aerial vehicle and AI tools. International Journal of Mining, Reclamation and Environment, 1–35. https://doi.org/10.1080/17480930.2024.2340876Search in Google Scholar