Cancer is a term that denotes a group of diseases caused by the abnormal growth of cells
that can spread in different parts of the body. According to the World Health Organization …

In the era of healthcare and its related research fields, the dimensionality problem of high-
dimensional data is a massive challenge as it is crucial to identify significant genes while …

In many fields, complicated issues can now be solved with the help of Artificial Intelligence
(AI) and Machine Learning (ML). One of the more modern Metaheuristic (MH) algorithms …

Disease diagnosis and prediction methods in biotechnology and medicine have significantly
advanced over time. Consequently, analyzing raw gene expression is crucial for identifying …

According to the WHO, Cancer is a prominent cause of mortality worldwide, accounting for~
10 million fatalities at the end of 2020. The most common types of cancers include Lung …

Abstract Analysis of gene expression data is crucial for disease prognosis and diagnosis.
Gene expression data has high redundancy and noise that brings challenges in extracting …

The identification of parameters in solar cell models continue being an important issue in the
simulation and design of the photovoltaic systems (PV). The models commonly used are …

Brain medical imaging and deep learning are important foundations for diagnosing and
predicting Alzheimer's disease. In this study, we explored the impact of different image …

Breast cancer is considered one of the significant health challenges and ranks among the
most prevalent and dangerous cancer types affecting women globally. Early breast cancer …

The economic load dispatch (ELD) problems considering nonlinear characteristics where an
optimal combination of power generating units is selected in order to minimize the total cost …