The use of metamaterials in various devices has revolutionized applications in optics,
healthcare, acoustics, and power systems. Advancements in these fields demand novel or …

Modern cyber-physical systems (CPSs) use the Internet of Things (IoT) to collect and
exchange data efficiently, monitor device/sensor level interaction effectively, and adopt new …

This study tackles the challenges of adversarial corruption in model-based reinforcement
learning (RL), where the transition dynamics can be corrupted by an adversary. Existing …

In recent years, the widespread adoption of Machine Learning (ML) at the core of complex IT
systems has driven researchers to investigate the security and reliability of ML techniques. A …

The healthcare data requires accurate disease detection analysis, real-time monitoring, and
advancements to ensure proper treatment for patients. Consequently, Machine Learning …

Artificial intelligence-based algorithms are widely adopted in critical applications such as
healthcare and autonomous vehicles. Mitigating the security and privacy issues of AI …

This book chapter provides a comprehensive overview of the utilization of machine learning
(ML) models in cost-effective healthcare delivery systems across various countries, including …

New computational and wireless modulation schemes have increased the effectiveness of
healthcare (HC) delivery systems. Today's medical technology allows doctors and nurses to …

In a time marked by an ever-increasing number of sensitive data and mounting worries
about breaches of privacy, the area of cryptography has emerged as the frontrunner in the …

Despite its enormous economical and societal impact, lack of human-perceived control and
safety is re-defining the design and development of emerging AI-based technologies. New …