Brain is the controlling center of our body. With the advent of time, newer and newer brain
diseases are being discovered. Thus, because of the variability of brain diseases, existing …

Abstract Deep Reinforcement Learning (DRL) is increasingly applied in cyber–physical
systems for automation tasks. It is important to record the develo** trends in DRL's …

The recent release of large-scale healthcare datasets has greatly propelled the research of
data-driven deep learning models for healthcare applications. However, due to the nature of …

Artificial intelligence (AI) characterizes a new generation of technologies capable of
interacting with the environment and aiming to simulate human intelligence. The success of …

Alzheimer's disease (AD) is the most common type of dementia. Its diagnosis and
progression detection have been intensively studied. Nevertheless, research studies often …

In infectious disease diagnosis, results need to be communicated rapidly to healthcare
professionals once testing has been completed so that care pathways can be implemented …

In recent years, AI explainability (XAI) has received wide attention. Although XAI is expected
to play a positive role in decision-making and advice acceptance, various opposing effects …

Traffic object detection and recognition systems play an essential role in Advanced Driver
Assistance Systems (ADAS) and Autonomous Vehicles (AV). In this research, we focus on …

Wearable assistive robotics is an emerging technology with the potential to assist humans
with sensorimotor impairments to perform daily activities. This assistance enables …

Transportation systems of the future can be best modeled as multiagent systems. A number
of coordination protocols such as autonomous intersection management (AIM), adaptive …