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Abstract: Geotechnical risks make the most significant contribution to the level of uncertainty in making design and constructive decisions due to their nonlinear variability both in terms of area and depth, and in time. For the purposes of geotechnical risk control in time can be successfully applied tools of digital geomechanics, mathematical modelling, deep learning methods based on neural networks,...