The efficiency and the effectiveness of a machine learning (ML) model are greatly influenced
by feature selection (FS), a crucial preprocessing step in machine learning that seeks out the …

One of the most reliable deep learning approaches for image classification challenges is
deep Conventional Conv neural networks (DCNNs); however, identifying the appropriate …

Breast cancer (BC) is one of the leading causes of high mortality rates among women. An
early disease diagnosis is crucial in breast cancer's treatment for improving the survival rate …

Breast cancer is still a major problem for medical research, science, and society. Breast
cancer is the most common form of cancer among women and has a high rate of mortality …

The use of text data with high dimensionality affects classifier performance. Therefore,
efficient feature selection (FS) is necessary to reduce dimensionality. In text classification …

Accurate diagnosis and effective treatment of thyroid conditions, such as hypothyroidism and
hyperthyroidism, are crucial due to their wide-ranging symptoms and consequences …

Addressing the challenges in diagnosing and classifying self-care difficulties in exceptional
children's healthcare systems is crucial. The conventional diagnostic process, reliant on …

Data imbalance and high dimensionality are two of the biggest changes in machine
learning. To address such issues, feature selection is one of the Data Mining techniques that …

Data dimensions and networks have grown exponentially with the Internet and
communications. The challenge of high-dimensional data is increasing for machine learning …