Research and application of reinforcement learning in robotics for contact-rich manipulation
tasks have exploded in recent years. Its ability to cope with unstructured environments and …

The human immune system is very complex. Understanding it traditionally required
specialized knowledge and expertise along with years of study. However, in recent times …

Hospital staff and resources allocation (HSRA) is a critical challenge in healthcare systems,
as it involves balancing the demands of patients, the availability of resources, and the need …

In the 5G/B5G network paradigms, intelligent medical devices known as the Internet of
Medical Things (IoMT) have been used in the healthcare industry to monitor remote users' …

With the advancements in reinforcement learning (RL), new variants of this artificial
intelligence approach have been introduced in the literature. This has led to increased …

Background: Artificial intelligence (AI) and Machine Learning (ML) models continue to
evolve the clinical decision support systems (CDSS). However, challenges arise when it …

5G-and-beyond networks are designed to fulfill the communication and computation
requirements of various industries, which requires not only transporting the data, but also …

The aging population, outbreak of new infectious diseases and shortage of medical
resources promote rapid development of telemedicine. Wireless textile body area network …

In 6G networks, unmanned aerial vehicles (UAVs) can serve as aerial flying base stations
(AFBS) with aerial mobile edge computing (AMEC) server capabilities. AFBS is an …

Recent advancements in Software Defined Networks (SDN), Open Radio Access Network
(O-RAN), and 5G technology have significantly expanded the capabilities of wireless …