For preventing landslide disasters caused by the slope collapse, it is crucial to research on
the investigation of slope stability. For the very complex influence factors on the slope …

A semi-analytical method is developed for analysis of slope stability involving cohesive and
non-cohesive soils. For sandy slopes, a planar slip surface is employed. For clayey slopes …

Featured Application The presented paper conducted a comparative analysis based on well-
known MLP, SVM, DT, and RF learning methods to assess/predict the safety factor (FS) of …

Slope engineering is a type of complex system engineering that is mostly involved in water
conservancy and civil and mining engineering. Moreover, the link between slope stability …

Artificial intelligence (AI)-based methods have been widely applied to slope stability
assessment, but due to the scarcity of samples, most AI models are used under certain …

Slope stability assessment is a critical research area in civil engineering. Disastrous
consequences of slope collapse necessitate better tools for predicting their occurrences …

In this paper, the authors investigated the applicability of combining machine-learning-
based models toward slope stability assessment. To do this, several well-known machine …

In this paper, the artificial neural network (ANN) and support vector machine (SVM) methods
which are commonly used in data mining are introduced, both the advantages and …

In this paper, the machine learning (ML) model is built for slope stability evaluation and
meets the high precision and rapidity requirements in slope engineering. Different ML …

Abstract The Limit Equilibrium Method (LEM) is commonly used in traditional slope stability
analyses, but it is time-consuming and complicated. Due to its complexity and nonlinearity …