This work is licensed under the Creative Commons Attribution 4.0 International License.
Nestoruk, N. A., Melnik, V. V., Zinoviev, S. N., & Chykunov, P. O. (2018). MODEL TOOLS FOR MASTERING ENGINEERING EXPERIMENTATION. Scientific Bulletin of National Mining University, (5).Search in Google Scholar
Sergeeva, E. V., & Ustselemova, N. A. (2021, March). Mathematical Modeling in the Training of Future Mining Engineers. In IOP Conference Series: Earth and Environmental Science (Vol. 666, No. 5, p. 052057). IOP Publishing.Search in Google Scholar
Wyganowska, M., & Bańka, P. (2023). A new approach to the organization of mining personnel training-the direction of Geoengineering and Raw Materials Extraction at the Faculty of Mining, Safety Engineering and Industrial Automation. In IOP Conference Series: Earth and Environmental Science (Vol. 1132, No. 1, p. 012003). IOP Publishing.Search in Google Scholar
Velikanov, V., Dyorina, N., & Abdrakhmanov, A. (2017). Methods and means for the in-house training of mining machine operators. In Matec web of conferences (Vol. 129, p. 06004). EDP Sciences.Search in Google Scholar
Cui, Z., & Wang, J. E. (2017). Research of an intelligent experimental teaching platform based on Internet. Procedia Computer Science, 107, 75-79.Search in Google Scholar
Lee, E. B., Yoo, B. T., & Yoon, J. H. (2020). A Study on the Improvement of Safety Management for Preventing Laboratory Accidents. Journal of the Korean Institute of Gas, 24(4), 1-9.Search in Google Scholar
Lee, Y. J., Kang, S. K., & Lee, B. H. (2018). An Empirical Study on the Safety Consciousness of Experimental Researchers in University Laboratories. Journal of the Korean Society of Safety, 33(1), 118-127.Search in Google Scholar
Yang, J., Xuan, S., Hu, Y., Liu, X., Bian, M., Chen, L., ... & Dou, Z. (2022). The framework of safety management on university laboratory. Journal of Loss Prevention in the Process Industries, 80, 104871.Search in Google Scholar
Olewski, T., & Snakard, M. (2017). Challenges in applying process safety management at university laboratories. Journal of Loss Prevention in the Process Industries, 49, 209-214.Search in Google Scholar
Agboola, O., Babatunde, D. E., Fayomi, O. S. I., Sadiku, E. R., Popoola, P., Moropeng, L., ... & Mamudu, O. A. (2020). A review on the impact of mining operation: Monitoring, assessment and management. Results in Engineering, 8, 100181.Search in Google Scholar
Ghorbani, Y., Zhang, S. E., Nwaila, G. T., & Bourdeau, J. E. (2022). Framework components for data-centric dry laboratories in the minerals industry: A path to science-and-technology-led innovation. The Extractive Industries and Society, 10, 101089.Search in Google Scholar
Beloglazov, I. I., Petrov, P. A., & Bazhin, V. Y. (2020). The concept of digital twins for tech operator training simulator design for mining and processing industry. chemical industries, 18, 19.Search in Google Scholar
Tiefang Zou,Lin Hu,Pingfan Li & Hequan Wu. (2015). A simple algorithm for analyzing uncertainty of accident reconstruction results. Forensic Science International229-235.Search in Google Scholar
Guo, Kaihong & Li, Wenli. (2010). A C-OWA Operator-based Method for Aggregating Intuitionistic Fuzzy Information and Its Application to Decision Making under Uncertainty. International Journal of Digital Content Technology and its Applications(7),140-147.Search in Google Scholar
Yeganeh Reza,Mohammadfam Iraj,Soltanian Alireza & Mirzaei Aliabadi Mostafa. (2022). An integrative fuzzy Delphi decision-making trial and evaluation laboratory (DEMATEL) study on the risk perception-influencing factors.. International journal of occupational safety and ergonomics : JOSE(3),11-12.Search in Google Scholar