Today, methodologies based on learning models are utilized to generate precise conversion
techniques for renewable sources. The methods based on Computational Intelligence (CI) …

Solar energy, considered to be the most abundant renewable resource, is one of the most
effective methods for reducing carbon emissions. The quantification of the uncertainty in the …

Precise estimation of water temperature plays a key role in environmental impact
assessment, aquatic ecosystems' management and water resources planning and …

Because of the complicated geometry and a lack of knowledge about the parameters that
impact it, estimating the ultimate bearing capacity (q rs) of a geogrid-reinforced sandy bed …

Monitoring and assessing groundwater quality are important for sustainable water resource
management. Therefore, the present study aimed to analyze and predict the water quality …

Blasting operations involve some undesirable environmental issues that may cause damage
to equipment and surrounding areas. One of them, and probably the most important one, is …

One of the most undesirable consequences induced by blasting in open-pit mines and civil
activities is flyrock. Furthermore, the production of oversize boulders creates many problems …

Bat Algorithm (BA) is a nature-inspired metaheuristic search algorithm designed to efficiently
explore complex problem spaces and find near-optimal solutions. The algorithm is inspired …

Hybrid metaheuristic algorithm (MA), an advanced tool in the artificial intelligence field,
provides precise reference evapotranspiration (ETo) prediction that is highly important for …

Regarding evaluating disaster risks in Iran's West Kurdistan area, the multi-layer perceptron
(MLP) neural network was upgraded with two novel techniques: backtracking search …