Abstract Medical applications of Artificial Intelligence (AI) have consistently shown
remarkable performance in providing medical professionals and patients with support for …

Intelligent algorithms based on convolutional neural network (CNN) has demonstrated
remarkable potential in diagnosing bearing faults. However, Accurate and robust fault …

Alzheimer's disease (AD) is a progressive neurological disorder characterized by memory
loss and cognitive decline, affecting millions worldwide. Early detection is crucial for effective …

Simple Summary Skin cancer is a life-threatening condition. It is difficult to diagnose in its
early stages; therefore, we proposed an easy-to-use telemedicine device to tackle skin …

An emergency medical vehicle can save the patient's life if it arrives at his location as quickly
as possible. Unmanned aerial vehicles (UAVs) offer wide visibility and mobility, making them …

Wireless Body Area Network (WBAN) is a special purpose wireless sensors network
designed to connect various self-autonomous medical sensors and appliances located …

Minor amputations are performed in a large proportion of patients with diabetic foot ulcers
(DFU) and early identification of the outcome of minor amputations facilitates medical …

The diagnosis of depression in individuals with Parkinson's Disease (PD) through the
utilization of multimodal fusion techniques represents a significant domain. The primary …

Leveraging the enormous amounts of real-world data collected through Internet of Things
(IoT) technologies, human activity recognition (HAR) has become a crucial component of …

Synthesized multimedia is an open concern that has received much too little attention in the
scientific community. In recent years, generative models have been utilized in maneuvering …