Aiming to find the most suitable development schemes of conventional and unconventional
reservoirs for maximum energy supply or economic benefits, reservoir production …

A novel optimization algorithm called the optical microscope algorithm (OMA) is developed
and applied in this study. Drawing inspiration from the magnification capabilities of an …

As a first attempt, Fourier series expansion (FSE), particle swarm optimization (PSO), and
genetic algorithm (GA) methods are coupled for analysis of the static–dynamic performance …

Life-cycle production optimization aims to obtain the optimal well control scheme at each
time control step to maximize financial profit and hydrocarbon production. However …

This article is the first attempt to employ deep learning to estimate the frequency
performance of the rotating multi-layer nanodisks. The optimum values of the parameters …

Estimating the photovoltaic model's unknown parameters efficiently and accurately can
determine the solar cell's efficacy in converting the solar energy into electricity. For this …

Abstract Applying Deep Learning (DL) in radiological images (ie, chest X-rays) is emerging
because of the necessity of having accurate and fast COVID-19 detectors. Deep …

Evolutionary algorithms require large number of function evaluations to locate the global
optimum, making it computationally prohibitive on dealing with expensive problems …

Study region The present study has been carried out in the Tabriz River basin (5397 km 2) in
north-western Iran. Elevations vary from 1274 to 3678 m above sea level, and slope angles …

Abstract Background Omega-3 fatty acids (FAs) have been suggested as a beneficial
supplement in chronic kidney disease (CKD) patients, but the results of randomized clinical …