Pharmaceuticals in water are a growing environmental concern, as they can harm aquatic
life and human health. To address this issue, an adsorbent made from coffee waste that …

In this paper, we propose a multilevel segmentation methods of medical images based on
the classical and quantum genetic algorithms. The Genetic Algorithm (GA) uses a binary …

This paper considers the synthesis of the four-bar mechanism. It is treated here as an
optimization problem, in which an objective function is defined. To solve this problem, a …

A novel two-stage region of interest (ROI) segmentation is proposed for detecting
glioblastoma multiforme (GBM) tumors from brain magnetic resonance images (MRIs). The …

In the normal image thresholding methods based on two-dimensional histogram, the edge
information of the regions is not maintained because of the local averaging activity used …

Given the outstanding effectiveness and efficiency performance in different fields such as
image processing and energy dispatching, the virus optimization algorithm (VOA), a newly …

In the paper, we consider a numerical simulation of torsional experiment and identification of
elastoplastic properties of materials in such a test. The former is a direct problem. We …

Techniques are described for performing multi-stage image classification. For example, multi-
stage image classification can comprise a first classification stage and a second …

Aiming to implement image segmentation precisely and efficiently, we exploit new ways to
encode images and achieve the optimal thresholding on quantum state space. Firstly, the …

Nowadays, the numerical segmentation is an important step in the processing and
interpretation of medical images. The segmentation consists in extracting, from the image …