Sinan Q. Salih

TL;DR: The applied statistical analysis of the results indicates that ANN and Grid-RF models can be employed as a computer-aided model for monitoring and simulating the adsorption from aqueous solutions by Attapulgite clay.

TL;DR: In this article, Chaotic Artificial Ecosystem-based Optimization Algorithm (CAEO) is proposed and utilized to determine the optimal solution which achieves the economical operation of the electrical power system and reducing the environmental pollution produced by the conventional power generation.

TL;DR: Extreme gradient boosting approach “as a selective input parameter” was coupled with support vector regression, random forest, and multivariate adaptive regression spline models for simulating the RH process and evidenced the capability of the proposed coupled machine learning models for modeling the RH at different coordinates within a semi-arid environment.

TL;DR: In this paper, the authors investigated several hybrid adaptive neuro-fuzzy inference system (ANFIS) evolutionary models, i.e., ANFIS-particle swarm optimization (PSO), ANFis-ant colony, ANFs-differential evolution (DE), and ANFsgenetic algorithm to predict the foamed concrete compressive strength.

TL;DR: In this article, a new application of nomadic people optimizer (NPO) algorithm is proposed to obtain the best locations and sizes of capacitor and PV alone or simultaneously in radial distribution system (RDS).