This research suggests a robust integration of artificial neural networks (ANN) for predicting
swell pressure and the unconfined compression strength of expansive soils (P s UCS-ES) …

For accurate estimation of streamflow of a mountainous river basin, a novel hybrid method is
developed in this study, where gradient-based optimization (GBO) algorithm is employed to …

Accurate measurements of available water resources play a key role in achieving a
sustainable environment of a society. Precise river flow estimation is an essential task for …

For preventing landslide disasters caused by the slope collapse, it is crucial to research on
the investigation of slope stability. For the very complex influence factors on the slope …

Finding feasible solutions to real-world problems is a crucial task. Metaheuristic algorithms
are widely used in many fields due to the variety of solutions they can produce. The grey …

The safety factor is a critical indicator in evaluating the slope stability. However, many
defects, such as excessive assumptions and insufficient consideration of influencing factors …

In many applications, selecting the optimal features is a difficult task. Numerous In
optimization problems, eg, feature selection (FS) problem, have been solved using …

The present research aims to co-relate the plasticity and liquefaction response of soil as well
as its significance in defining liquefaction probability. To accomplish this, metaheuristic …

Recently, machine learning models have acted as effective tools for slope stability analysis.
But due to the crucial significance of this issue, reaching a reliable accuracy is necessary …

In the present study, the first-order reliability method (FORM) is applied to evaluate the
failure of soil deposits during seismic excitation for the city of Patna, India. Patna is emerging …