Sep 18, 2024 · This study aimed to identify the most influential factors affecting slope stability and evaluate the performance of various machine learning models for classifying slope stability.

May 11, 2016 · It looks like a red circle is defined by a minimum persistent slope change over a certain distance. The blue point fails because the change in slope is not persistent, i.e. it is just …

Dec 24, 2019 · Several approaches to predict slope stability analysis, based on PR and machine learning, have been proposed, among them the so-called Artificial Neural Networks (ANNs).

Feb 18, 2025 · FEM offers a more detailed analysis of slope stability by simulating stress–strain behavior and deformation patterns of slope materials.

Mar 7, 2025 · In this article, an extensive database of natural slopes and artificial slopes due to anthropogenic activities are considered and analyzed using several ensemble ML algorithms …

Apr 1, 2018 · In this article, we proposed and compared six integrated artificial intelligence (AI) approaches for slope stability prediction based on metaheuristic and ML algorithms.

Jul 4, 2022 · In order to solve the problem that the slope surface diseases cannot be accurately identified, which cannot be repaired in time and cause serious slope disasters, a slope …

This article examines the capability of two intelligent pattern recognition techniques {Extreme Learning Machine (ELM) and Minimax Probability Machine (MPM)} for prediction of stability of …

Jan 20, 2025 · In this study, a deep convolutional autoencoder-based unsupervised failure mode recognition algorithm is proposed to identify and alert slope failure modes. This algorithm …

Jan 1, 2023 · This paper explores the efficiency of machine learning (ML) models and Artificial Neural Networks used as surrogate models trained on a limited number of random field slope …