Superpixel become increasingly popular in image segmentation field as it greatly helps
image segmentation techniques to segment the region of interest accurately in noisy …

Crow search algorithm (CSA), as a new swarm intelligence algorithm that simulates the
crows' behaviors of hiding and tracking food in nature, performs well in solving many …

Grey wolf optimization (GWO) is a recent and popular swarm-based metaheuristic approach.
It has been used in numerous fields such as numerical optimization, engineering problems …

The outbreak of coronavirus is intense in most countries around the world. The Region of
Interest (ROI) extraction in medical images plays a vital role in the disease diagnosis and …

In the world of optimization, especially concerning metaheuristics, solving complex problems
represented by applying big data and constraint instances can be difficult. This is mainly due …

Remote sensing multi-band hyperspectral image classification is a challenging task and is of
current interest too. Proper extraction of spectral features of the data results in higher …

Aim Thepaper aims to further improve the lifetime of network and minimize the utilization of
energy in wireless sensor networks by using Hierarchical grid-based routing which is an …

Aim: The goal of this research is to employ median filters and mask filters to reduce noise in
liver images so that they can be improved. In addition, the Peak Signal to Noise Ratio of both …

This paper proposes a new hybrid algorithm (KGA) of two known algorithms for the data
clustering process. These algorithms are the Genetic Algorithm and K-means. In this paper …

Aim: Image classification includes analyzing and categorizing specific objects over the
pictures. Our main purpose is to assess the performance of two types of classifiers used in …