Deep learning (DL), as one of the most active machine learning research fields, has
achieved great success in numerous scientific and technological disciplines, including …

The second-leading cause of death for women is breast cancer. Consequently, a precise
early diagnosis is essential. With the rapid development of artificial intelligence, computer …

The Editor-in-Chief has retracted this article because it overlaps significantly with a prior
publication with no common authors [1]. Specifically, images in Figs. 3 and 4 appear highly …

This research presents DNLR‐NET, a novel model designed for automated and accurate
diagnosis of MPox disease. The model's performance is constructed and validated using a …

According to WHO statistics for 2018, there are 1.2 million cases and 700,000 deaths from
breast cancer (BC) each year, making it the second-highest cause of mortality for women …

Breast cancer is the most widespread neoplasm among women and early detection of this
disease is critical. Deep learning techniques have become of great interest to improve …

The performance of neural network is largely dependent on their capability to extract very
discriminant features supporting the characterization of abnormalities in the medical image …

Computational tools have been used in structural engineering design for numerous
objectives, typically focusing on optimizing a design process. We first provide a detailed …

Breast cancer is deadly cancer causing a considerable number of fatalities among women in
worldwide. To enhance patient outcomes as well as survival rates, early and accurate …

In this study, our aim is to address the problem of gene selection by proposing a hybrid bio-
inspired evolutionary algorithm that combines Grey Wolf Optimization (GWO) with Harris …