Review article

Landslide slope stability assessment as a solution of regression and classification problems using machine learning

UDC: 

624.13:004.85: 631.6

DOI: 

10.23968/1999-5571-2026-23-3-76-86

Pages: 

76-86

Annotation: 

The purpose of the study is to develop a program for the operational analysis of slope stability on the ground. To identify landslide sites, a route (visual) survey is carried out without computer equipment. The development of technology makes it possible to set and solve problems for which there were no processing algorithms and not enough computing resources. The possibility of estimating the slope stability coefficient using the RShiny interactive analytical dashboard is considered. The approach to solving this problem is based on obtaining a representative data set using a computational experiment implemented using the PLAXIS software package.

Authors: 

Katsko D. I. Kuban State Agrarian University named by I. T. Trubilin Krasnodar, Russia

Kuznetsov E. V. Kuban State Agrarian University named by I. T. Trubilin Krasnodar, Russia

Links to authors' articles: 

Journal Issue