With the advent of big data era, deep learning (DL) has become an essential research
subject in the field of artificial intelligence (AI). DL algorithms are characterized with powerful …

Artificial neural network (ANN) aimed to simulate the behavior of the nervous system as well
as the human brain. Neural network models are mathematical computing systems inspired …

Over the last few years, artificial neural networks (ANNs) have been used successfully for
modeling almost all aspects of geotechnical engineering problems. Whilst ANNs provide a …

Artificial neural networks (ANNs) are a form of artificial intelligence that has proved to
provide a high level of competency in solving many complex engineering problems that are …

This study presents the application of different methods (simple–multiple analysis and
artificial neural networks) for the estimation of the California bearing ratio (CBR) from sieve …

Landslides are a natural hazard that can endanger human life and cause severe
environmental damage. A landslide susceptibility map is essential for planning, managing …

This study presents the application of different methods (simple–multiple analysis and
artificial neural networks) for the estimation of the compaction parameters (maximum dry unit …

Landslide susceptibility mapping is well recognized as an essential element in supporting
decision-making activities for preventing and mitigating landslide hazards as it provides …

In this paper, we propose a phase-field-based Lattice Boltzmann Method (LBM) model
coupled with the Discrete Element Method (DEM) for simulating unsaturated granular media …

Cement stabilization is one of the commonly used techniques to improve the strength of soft
ground/clays, generally found along coastal and low land areas. The strength development …