In recent decades, qualitative and quantitative assessments of groundwater sources reveal
that efficient and accurate optimization approaches may assist in solving the multiple …

Numerous studies have been performed on the behavior of pile foundations in cold regions.
This study first attempted to employ artificial neural networks (ANN) to predict pile-bearing …

Today, the issue of energy efficiency is a major one in global politics. The external
environment, particularly the wind speed and outside air temperature, determines the …

One of the key reasons for the performance discrepancy between a building's intended
usage and the actual operation is Heat Loss, which describes a building's envelope …

Climate change has increased the vulnerability of arid and semi-arid regions to recurrent
and prolonged meteorological droughts. In light of this, our study has sought to assess the …

Streamflow simulation, particularly in ungauged watersheds, poses a significant challenge
in surface water hydrology. The estimation of natural river and streamflow has been a …

In this study, our primary objective is the accurate prediction of daily rainfall through the
application of various hybrid Artificial Intelligence (AI) methods. These methods are …

Manual calculation of the compressive strength of concrete (CSC) is an expensive and time-
consuming process. Soft computing methods outperform the statistical methods used to …

Heating and cooling systems account for a considerable portion of the energy consumed for
domestic reasons in Europe. Burning fossil fuels is the main way to produce this energy …

This study evaluates a new hybrid approach for determining homes' heating load (HL). The
crow search algorithm (CSA), heap-based optimizer (HBO), seeker optimization algorithm …