Machine learning (ML) is widely used in many industries, resulting in recent interests to
explore ML in geotechnical engineering. Past review papers focus mainly on ML algorithms …

Geotechnical engineering deals with soils and rocks and their use in engineering
constructions. By their nature, soils and rocks exhibit complex behaviours and a high level of …

It is challenging to develop accurate models for heavy construction equipment residual
value prediction using conventional approaches. This article proposes three Machine …

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 …

Reliable and accurate prediction of landslide displacement is essential for early warning
systems, as well as for disaster prevention and mitigation. Machine learning and deep …

The stability evaluation of underground entry-type excavations is a prerequisite of the entry-
type mining method, which directly affects whether workers can be provided with a safe and …

This study presents a framework for predicting geological characteristics based on
integrating a stacking classification algorithm (SCA) with a grid search (GS) and K-fold cross …

Video super-resolution (VSR) is reconstructing high-resolution videos from low resolution
ones. Recently, the VSR methods based on deep neural networks have made great …

Displacement prediction plays a significant role in the landslide disaster early warning.
However, landslide deformation is a complex nonlinear dynamic process, posing difficulties …

Geotechnical reliability analysis provides a novel way to rationally take the underlying
geotechnical uncertainties into account and evaluate the stability of geotechnical structures …