Data-driven neural network approach to geohazard classification and risk evaluation

Abstract

Modern geopolitical conditions and ongoing military conflicts pose a direct threat to the preservation of historical and cultural heritage sites. One of the principal challenges lies in the timely and objective assessment of the technical state of buildings and structures under dynamically changing natural and anthropogenic conditions, as well as in the development of effective management strategies to ensure their structural stability and to prevent the progression of deformation and failure processes.