The advent of machine learning (ML) and Artificial intelligence (AI) has brought about a
significant transformation across multiple industries, as it has facilitated the automation of …

Linear discriminant analysis (LDA) is a versatile statistical method for reducing redundant
and noisy information from an original sample to its essential features. Particularly, LDA is a …

Breast cancer is a common and potentially life-threatening disease. Early and accurate
diagnosis of breast cancer is crucial for effective treatment and improved patient outcomes …

Over the past decade, breast cancer has been the most common type of cancer in women.
Different methods were proposed for breast cancer detection. These methods mainly classify …

In high-dimensional gene expression data, selecting an optimal subset of genes is crucial
for achieving high classification accuracy and reliable diagnosis of diseases. This paper …

Deception detection is a critical aspect across various domains. Integrating advanced signal
processing techniques, particularly in neuroscientific studies, has opened new avenues for …

Breast cancer (BC) has affected many women around the world. To accomplish the
classification and detection of BC, several computer-aided diagnosis (CAD) systems have …

Objective: Predicting the ability of a breast cancer patient to survive was a difficult research
problem for many scholars. Since the early dates of the relevant research, significant …

Breast cancer (BC) is one of the major principal sources of high mortality among women
worldwide. Consequently, early detection is essential to save lives. BC can be diagnosed …

An image classification tool was developed to classify subvisible particles, namely silicone
oil (SO) and non-silicone oil (NSO; protein aggregate, rubber closure, and air bubble) …