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All issues Volume 526 (2024) E3S Web Conf., 526 (2024) 01012 References
Open Access
Issue
E3S Web Conf.
Volume 526, 2024
Mineral Resources & Energy Congress (SEP 2024)
Article Number 01012
Number of page(s) 10
DOI https://doi.org/10.1051/e3sconf/202452601012
Published online 20 May 2024
  1. Zhao, G.-F. (2015). Modelling 3D jointed rock masses using a lattice spring model. International Journal of Rock Mechanics and Mining Sciences, (78), 79–90. https://doi.org/10.1016/j.ijrmms.2015.05.011 [Google Scholar]
  2. Dyczko A., Galica D., & Sypniowski, S. (2012). Deposit model as a first step in mining production scheduling. Geomechanical Processes During Underground Mining – Proceedings of the School of Underground Mining, 231–247. https://doi.org/10.1201/b13157-39 [Google Scholar]
  3. Dychkovskyi, R.O., Lozynskyi, V.H., Saik, P.B., Dubiei, Yu.V., Cabana, E.C., & Shavarskyi, Ia.T. (2019). Technological, lithological and economic aspects of data geometrization in coal mining. Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu, (5), 22–28. https://doi.org/10.29202/nvngu/2019-5/4 [Google Scholar]
  4. Bräunl, T. (2023). Lidar: Light Detection and Ranging. Robot Programming Practice. https://doi.org/10.1007/978-981-19-9987-1_6 [CrossRef] [Google Scholar]
  5. Cui, Z. (2001). Management, retrieval, and visualization of spatial data from airborne light detection and ranging system (LIDAR) survey. FIU Electronic Theses and Dissertations. Florida, USA: Florida International University. https://doi.org/10.25148/etd.fi14061561 [Google Scholar]
  6. Huff, T.P., Feagin, R.A., & Delgado, A. (2019). Understanding Lateral Marsh Edge Erosion with Terrestrial Laser Scanning (TLS). Remote Sensing, 11(19), 2208. https://doi.org/10.3390/rs11192208 [CrossRef] [Google Scholar]
  7. Issayeva, L., Togizov, K., Duczmal-Czernikiewicz, A., Kurmangazhina, M., & Muratkhanov, D. (2022). Ore-controlling factors as the basis for singling out the prospective areas within the Syrymbet rare-metal deposit. Mining of Mineral Deposits, 16(2), 14–21. https://doi.org/10.33271/mining16.02.014 [CrossRef] [Google Scholar]
  8. Kononenko, M., Khomenko, O., Cabana, E., Mirek, A., Dyczko, A., Prostański, D., & Dychkovskyi, R. (2023). Using the methods to calculate parameters of drilling and +blasting operations for emulsion explosives. Acta Montanistica Slоvaca, 28(3), 655–667. https://doi.org/10.46544/ams.v28i3.10 [CrossRef] [Google Scholar]
  9. Polyanska, A., Pazynich, Y., Poplavska, Z., Kashchenko, Y., Psiuk, V., & Martynets, V. (2024). Conditions of Remote Work to Ensure Mobility in Project Activity. Lecture Notes in Mechanical Engineering, 151–166. https://doi.org/10.1007/978-3-031-56474-1_12 [CrossRef] [Google Scholar]
  10. Kassymkanova, K.K., Istekova, S., Rysbekov, K., Amralinova, B., Kyrgizbayeva, G., Soltabayeva, S., & Dossetova, G. (2023). Improving a geophysical method to determine the boundaries of ore-bearing rocks considering certain tectonic disturbances. Mining of Mineral Deposits, 17(1), 17–27. https://doi.org/10.33271/mining17.01.017 [CrossRef] [Google Scholar]
  11. Dyczko, A. (2023). The geological modelling of deposits, production designing and scheduling in the JSW SA Mining Group. (2023). Gospodarka Surowcami Mineralnymi – Mineral Resources Management, 39(1), 35–62. https://doi.org/10.24425/gsm.2023.144628 [Google Scholar]
  12. Cabo, C., Del Pozo, S., Rodríguez-Gonzálvez, P., Ordóñez, C., & González-Aguilera, D. (2018). Comparing Terrestrial Laser Scanning (TLS) and Wearable Laser Scanning (WLS) for Individual Tree Modeling at Plot Level. Remote Sensing, 10(4), 540. https://doi.org/10.3390/rs10040540 [CrossRef] [Google Scholar]
  13. Huff, T.P., Feagin, R.A., & Delgado, A. (2019). Understanding Lateral Marsh Edge Erosion with Terrestrial Laser Scanning (TLS). Remote Sensing, 11(19), 2208. https://doi.org/10.3390/rs11192208 [CrossRef] [Google Scholar]
  14. Dychkovskyi, R., Falshtynskyi, V., Ruskykh, V., Cabana, E., & Kosobokov, O. (2018). A modern vision of simulation modelling in mining and near mining activity. E3S Web of Conferences, (60), 00014. https://doi.org/10.1051/e3sconf/20186000014 [CrossRef] [EDP Sciences] [Google Scholar]
  15. Mettenleiter, M., & Fröhlich, Ch. (2000). Visuelles Laserradar zur 3D Erfassung und Modellierung Realer Umgebungen (Visual laser radar for 3D Surveying and Modelling of Real-World Environments). Auto, 48(4), 182. https://doi.org/10.1524/auto.2000.48.4.182 [CrossRef] [Google Scholar]
  16. Telling, J., Lyda, A., Hartzell, P., & Glennie, C. (2017). Review of Earth science research using terrestrial laser scanning. Earth-Science Reviews, (169), 35–68. https://doi.org/10.1016/j.earscirev.2017.04.007 [CrossRef] [Google Scholar]
  17. Krawczyk, A. (2023). Mining Geomatics. ISPRS International Journal of Geo-Information, 12(7), 278. https://doi.org/10.3390/ijgi12070278 [CrossRef] [Google Scholar]
  18. Aukazhieva, Z.M., & Darkenbayeva, А.B. (2021). Definition and theoretical basis of laser scanning. Engineering Journal of Satbayev University, 143(2), 52–57. https://doi.org/10.51301/vest.su.2021.i2.07 [CrossRef] [Google Scholar]
  19. GML. (2017). Geological and mining law (DZ.U. of 2017, item 2126). Act of 9 June 2017, 7. [Google Scholar]
  20. Dz.U. 2017 poz. 1118. (2017). Rozporządzenie Ministra Energii z dnia 23 listopada 2016 r. w sprawie szczegółowych wymagań dotyczących prowadzenia ruchu podziemnych zakładów górniczych. ISAP – Internetowy System Aktów Prawnych. [Google Scholar]
  21. KGHM CRDC. (2016). Technical design of the reinforcement of the pit roof under the ZR-IIIa reservoir at the R-III shaft. KGHM Cuprum Research and Development Centre, Unpublished Booklet, 216. [Google Scholar]
  22. Dyczko, A., Kicki, J., & Paraszczak, J. (2005). Decision support system to improve equipment effectiveness and reduce production cost in KGHM “Polska Miedz”, Poland. Application of Computers and Operations Research in the Mineral Industry, 385–390. https://doi.org/10.1201/9781439833407.ch51 [CrossRef] [Google Scholar]
  23. Krawczyk, A. (2018). A concept for the modernization of underground mining master maps based on the enrichment of data definitions and spatial database technology. E3S Web of Conferences, (26), 00010. https://doi.org/10.1051/e3sconf/20182600010 [CrossRef] [EDP Sciences] [Google Scholar]
  24. Kosydor, P., Warchala, E., Krawczyk, A., & Piórkowski, A. (2020). Determinants of large-scale spatial data processing in Polish mining. AIP Conference Proceedings, 2209(1), 040007. https://doi.org/10.1063/5.0000335 [Google Scholar]

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