This paper introduces a novel approach using Clustered Artificial Neural Networks (CLANN)
to address the challenge of developing predictive models for multimodal dataset with …

The most crucial function in drilling wells is the rate of penetration, which is modeled by
many researchers, and the best one is Young-Bourgyen model, which is used in this study …

This research aims to study the pullout resistance of a helical pile using three methods of
machine learning techniques, which are: random forest regression, support vector …

Due to the microstructure of clayey platelets, fine-grained soils can retain a considerable
amount of moisture. In spite of having relatively low permeability, this moisture can be …

Retaining walls are typical geotechnical engineering applications analyzed extensively in
the literature. However, the optimal design of these walls is still unsolved due to the …

In recent decades, the vast potential of entry of solid waste and landfill leachate in soil and
groundwater has caused pollutant emission, and concentration in-depth become an …

The optimal design of a pile system was presented in this work as a multi-objective
optimization problem that includes maximization for the pile capacity and its skin friction …