Enhancing deep learning-based slope stability classification using a novel metaheuristic optimization algorithm for feature selection
The evaluation of slope stability is of crucial importance in geotechnical engineering and
has significant implications for infrastructure safety, natural hazard mitigation, and …
has significant implications for infrastructure safety, natural hazard mitigation, and …
Insight into the permeability and microstructure evolution mechanism of the Sliding Zone Soil: a Case Study from the Huangtupo Landslide, Three Gorges Reservoir …
A large number of laboratory investigations related to the permeability have been conducted
on the sliding zones. Yet little attention has been paid to the particular sliding zones of the …
on the sliding zones. Yet little attention has been paid to the particular sliding zones of the …
Bayesian ensemble learning and Shapley additive explanations for fast estimation of slope stability with a physics-informed database
Slope failures present substantial threats to public safety and economic losses. However, it
remains challenging to achieve satisfactory performance due to insufficient datasets with …
remains challenging to achieve satisfactory performance due to insufficient datasets with …
Evolving support vector regression based on improved grey wolf optimization for predicting settlement during construction of high-filled roadbed
D Liu, W Zhang, Y Tang, B ** in baikal natural territory using random forest
O Nikolaychuk, J Pestova, A Yurin - Forests, 2024 - mdpi.com
Wildfires are a significant problem in Irkutsk Oblast. They are caused by climate change,
thunderstorms, and human factors. In this study, we use the Random Forest machine …
thunderstorms, and human factors. In this study, we use the Random Forest machine …