Slope failures lead to catastrophic consequences in numerous countries, so accurate slope
stability evaluation is critical in geological disaster prevention and control. In this study, the …

Featured Application This study provides a straightforward method to determine the machine
learning model with the best predictive performance and demonstrates a complete model …

Slope stability prediction plays a significant role in landslide disaster prevention and
mitigation. This study develops an ensemble learning-based method to predict the slope …

Data-driven stability prediction of slopes on the basis of survey data plays a vital role in
geohazard prevention. A critical issue in data-driven stability prediction is that many factors …

Within the field of geotechnical engineering, complex challenges arise due to uncertainties
associated with variable loads, soil properties, ground stratification, and other related …

Abstract Evaluation of slope failures, which cause significant loss of life and property
comparable to natural disasters such as earthquakes, floods and hurricanes, is one of the …

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 …

Accurate assessment of slope stability is the most important task in geological disaster
prevention and control. This study developed an ensemble learning approach based on …

In this study, we employed various machine learning-based techniques in predicting factor
of safety against slope failures. Different regression methods namely, multi-layer perceptron …

The safety factor is a crucial quantitative index for evaluating slope stability. However, the
traditional calculation methods suffer from unreasonable assumptions, complex soil …