1. Agayan S. M., Losev I. V., Belov I. O., et al. Dynamic Activity Index for Feature Engineering of Geodynamic Data for Safe Underground Isolation of High-Level Radioactive Waste // Applied Sciences. — 2022. — Vol. 12, no. 4. — DOI:https://doi.org/10.3390/app12042010.
2. Araujo M., Rivas T., Giraldez E., et al. Use of machine learning techniques to analyse the risk associated with mine sludge deposits // Mathematical and Computer Modelling. — 2011. — Vol. 54, no. 7/8. — P. 1823–1828. — DOI:https://doi.org/10.1016/j.mcm.2010.11.066.
3. Baryakh A. A., Gubanova E. A. On flood protection measures for potash mines // Journal of Mining Institute. — 2019. — Vol. 240, no. 6. — P. 613–620. — DOI:https://doi.org/10.31897/pmi.2019.6.613.
4. Baryakh A. A., Samodelkina N. A. Water-tight stratum rupture under large-scale mining. Part II // Journal of Mining Science. — 2012. — Vol. 48, no. 6. — P. 954–961. — DOI:https://doi.org/10.1134/s1062739148060020.
5. Baryakh A. A., Samodelkina N. A. Geomechanical Estimation of Deformation Intensity above the Flooded Potash Mine // Journal of Mining Science. — 2018. — Vol. 53, no. 4. — P. 630–642. — DOI:https://doi.org/10.1134/S106273911704262X.
6. Baryakh A. A., Tenison L. O. Justification of engineering safety criteria for undermining of water-proof layer in the Upper Kama Salt Deposit // Gornyi Zhurnal. — 2021. — No. 4. — P. 57–63. — DOI:https://doi.org/10.17580/gzh.2021.04.08. — (In Russian).
7. Baryakh A. A., Tsayukov A. A., Evseev A. V., et al. Mathematical Modeling of Deformation and Failure of Salt Rock Samples // Journal of Mining Science. — 2021. — Vol. 57, no. 3. — P. 370–379. — DOI:https://doi.org/10.1134/s1062739121030029.
8. Gvishiani A. D., Agayan S. M., Bogoutdinov Sh. R. Investigation of systems of real functions on two-dimensional grids using fuzzy sets // Chebyshevskii Sbornik. — 2019a. — Vol. 20, no. 1. — P. 94–111. — DOI:https://doi.org/10.22405/2226-8383-2019-20-1-94-111. — (In Russian).
9. Gvishiani A. D., Agayan S. M., Losev I. V., et al. Geodynamic hazard assessment of a structural block holding an underground radioactive waste disposal facility // Mining informational and analytical bulletin. — 2021. — No. 12. — P. 5–18. — DOI:https://doi.org/10.25018/0236_1493_2021_12_0_5. — (In Russian).
10. Gvishiani A. D., Kaftan V. I., Krasnoperov R. I., et al. Geoinformatics and Systems Analysis in Geophysics and Geodynamics // Izvestiya, Physics of the Solid Earth. — 2019b. — Vol. 55, no. 1. — P. 33–49. — DOI:https://doi.org/10.1134/s1069351319010038.
11. Ibrahim A. M., Bennett B. The Assessment of Machine Learning Model Performance for Predicting Alluvial Deposits Distribution // Procedia Computer Science. — 2014. — Vol. 36. — P. 637–642. — DOI:https://doi.org/10.1016/j.procs.2014.09.067.
12. Kolmogorov A. N. On the representation of continuous functions of many variables by superposition of continuous functions of one variable and addition // Doklady Akademii Nauk SSSR. — 1957. — Vol. 114, no. 5. — P. 953–956. — (In Russian).
13. Kudryashov A. I., Vasiukov V. E., Fon-der-Flass G. S., et al. Faults on the Verkhnekamskoe deposit of salts. — Perm : Mining Institute UB RAS, Perm State University, 2004. — P. 194. — (In Russian).
14. Migoń P., Michniewicz A. Topographic Wetness Index and Terrain Ruggedness Index in geomorphic characterisation of landslide terrains, on examples from the Sudetes, SW Poland // Zeitschrift für Geomorphologie, Supplementary Issues. — 2017. — Vol. 61, no. 2. — P. 61–80. — DOI:https://doi.org/10.1127/zfg_suppl/2016/0328.
15. Owoseni J. O., Tamarautobou E. U., Asiwaju-Bello Y. A. Application Sequential Analysis and Geographic Information Systems for Hydrochemical Evolution Survej, Shagari Environ, Southwestern Nigeria // Amerikan International Journal of Contemporary Reserch. — 2013. — Vol. 3, no. 3. — P. 38–48.
16. Pedregosa F., Varoquaux G., Gramfort A., et al. Scikit-learn: Machine Learning in Python // Journal of Machine Learning Research. — 2012. — Vol. 12. — P. 2825–2830. — DOI:https://doi.org/10.48550/ARXIV.1201.0490.
17. Phillips J. D., Schwanghart W., Heckmann T. Graph theory in the geosciences // Earth-Science Reviews. — 2015. — Vol. 143. — P. 147–160. — DOI:https://doi.org/10.1016/j.earscirev.2015.02.002.
18. Zhang Y., Li J., Lei Y., et al. 3D simulations of salt tectonics in the Kwanza Basin: Insights from analogue and Discrete Element numerical modeling // Marine and Petroleum Geology. — 2020. — Vol. 122. — P. 104666. — DOI:https://doi.org/10.1016/j.marpetgeo.2020.104666.
19. Zubov V. P., Kovalski E. R., Antonov S. V., et al. Improving the safety of mines in developing Verkhnekamsk potassium and magnesium salts // Mining Informational and analytical bulletin. — 2019. — Vol. 5. — P. 22–33. — DOI:https://doi.org/10.25018/0236-1493-2019-05-0-22-33. — (In Russian).