Particle swarm optimization (PSO) is an evolutionary computation approach to solve
nonlinear global optimization problems. The PSO idea was made based on simulation of a …

Abstract The Water Quality Index (WQI) is the most common indicator to characterize surface
water quality. This study introduces a new ensemble machine learning model called Extra …

Engineering and scientific applications are frequently affected by turbulent phenomena,
which are associated with a great deal of uncertainty and complexity. Therefore, proper …

Discharge of pollution loads into natural water systems remains a global challenge that
threatens water and food supply, as well as endangering ecosystem services. Natural …

One of the most crucial jobs to improve water resources management plans is the
assessment of river water quality. A water quality index (WQI) takes multiple water quality …

The prediction accuracies of machine learning (ML) models may not only be dependent on
the input parameters and training dataset, but also on whether an ensemble or individual …

The chef-based optimization algorithm (CBOA) is a human-based method inspired by the
relationship between culinary students and chef instructors. The original CBOA does not …

Water contamination is indeed a worldwide problem that threatens public health,
environmental protection, and agricultural productivity. The distinctive attributes of machine …

In this article, detailed trials were undertaken to study the variation in genetic parameters in
order to formulate more robust predictive models using gene expression programming …

Predicting the behavior and geometry of channels and alluvial rivers in which erosion and
sediment transport are in equilibrium is among the most important topics relating to river …