Federated learning (FL) is revolutionizing healthcare by enabling collaborative machine
learning across institutions while preserving patient privacy and meeting regulatory …

Currently, many individuals are experiencing diabetes, which is attributed to work-related
stress and unhealthy lifestyles. Often, people are only aware of their health status once …

The paper addresses the challenge of imbalanced classification in the context of
cerebrovascular diseases, including stroke, transient ischemic attack (TIA), and vascular …

A steady deterioration in kidney function over months or years is known as chronic kidney
disease (CKD). Through a range of techniques, such as pharmacological intervention in …

Triboelectric nanogenerators (TENGs) have become more popular recently as a result of
societal demands, and the structural layout is crucial for maximising efficiency and energy …

The creation, manufacture, and use of microelectromechanical (MEMS) and
nanoelectromechanical (NEMS) devices are all strongly tied to the topic of …

Video analytics has become an essential tool for improving security monitoring by
automating the tedious task of manually reviewing large CCTV footage. Despite …

One of the most common forms of cancer is liver cancer, and successful treatment depends
greatly on an early diagnosis. The two primary steps in liver tumor segmentation are liver …

Object detection algorithms have applications in various fields, including security, healthcare
and defense. Because image-based object detection cannot exploit the rich temporal …

Lung cancer is the leading cause of death from cancer worldwide. Finding pulmonary
nodules is a critical step in the diagnosis of early-stage lung cancer. It has the potential to …