In this world, several types of soils are available with their different engineering properties.
Determining each soil's engineering properties is difficult because the laboratory procedures …

The resilient modulus (MR) of various pavement materials plays a significant role in the
pavement design by a mechanistic-empirical method. The MR determination is done by …

The prediction of liquefaction-induced lateral spreading/displacement (D h) is a challenging
task for civil/geotechnical engineers. In this study, a new approach is proposed to predict D h …

Rock slope stability assessment is a vital component of geotechnical engineering, with
significant implications for sustainability and environmental management. This review …

Different slope geohazards have different causal mechanisms. This study aims to propose a
method to investigate the decision-making mechanisms for the susceptibility of different …

This study focuses on optimizing soil settlement and consolidation prediction in Finland
clays using machine-learning regressions with Bayesian hyperparameter selection …

The hazards and consequences of slope collapse can be reduced by obtaining a reliable
and accurate prediction of slope safety, hence, developing effective tools for foreseeing their …

Field monitoring data from multiple monitoring points often contain redundant and/or dirty
data, which provide less value for slope safety evaluation. Existing slope safety evaluation …

Artificial neural networks (ANN), machine learning (ML), deep learning (DL), and ensemble
learning (EL) are four outstanding approaches that enable algorithms to extract information …

In this study, twelve machine learning (ML) techniques are used to accurately estimate the
safety factor of rock slopes (SFRS). The dataset used for developing these models consists …