Hyperspectral imaging (HSI) is a powerful tool that can capture and analyze a range of
spectral bands, providing unparalleled levels of precision and accuracy in data analysis …

The optimization field suffers from the metaphor-based “pseudo-novel” or “fancy” optimizers.
Most of these cliché methods mimic animals' searching trends and possess a small …

As a promising platform on the Internet of Things (IoT), the smart Internet of Vehicle (IoV) has
emerged with the advent of the key connectivity to Industry 4.0, ie Fifth-Generation Mobile …

In the current paper, vibrational and critical circular speed characteristics of a functionally
graded (FG) rotary microdisk is examined considering a continuum nonlocal model called …

The aim of the study is to estimate the nexus between energy insecurity and energy poverty
with the role of climate change and other environmental concerns. We used DEA like WP …

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 …

In recent years, a variety of meta-heuristic nature-inspired algorithms have been proposed to
solve complex optimization problems. However, these algorithms suffer from the …

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 …

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 …

Greenhouse gas (GHG) pollution is considered one of the challenging concerns in industrial
plants, and to emit the appropriate designation in nitrogen oxide reduction, it is required to …