In recent years, the exponential growth of internet of things (IoT) and cyber physical systems
(CPS) in safety critical applications has imposed severe reliability and security challenges …

Cyber-Physical Systems (CPSs) are engineered systems seamlessly integrating
computational algorithms and physical components. CPS advances offer numerous benefits …

The exponential growth of cyber-physical systems (CPS), especially in safety-critical
applications, has imposed several security threats (like manipulation of communication …

Machine learning is commonly being used in almost all the areas that involve advanced
data analytics and intelligent control. From applications like Natural Language Processing …

With technology scaling approaching atomic levels, IC test and diagnosis of complex System-
on-Chips (SoCs) become overwhelming challenging. In addition, sustaining the reliability of …

Machine learning, in particular deep learning, is being used in almost all the aspects of life
to facilitate humans, specifically in mobile and Internet of Things (IoT)-based applications …

There is a growing movement to retrofit ageing, large scale infrastructures, such as water
networks, with wireless sensors and actuators. Next generation Cyber-Physical Systems …

The vision of a fourth industrial revolution lately strongly captured the attention of research. A
Cyber-physical system (CPS) is one of the main drivers of this vision. Such system controls …

Cyber-Physical System (CPS) represents systems that join both hardware and software
components to perform real-time services. Maintaining the system's reliability is critical to the …

The real-world use cases of Machine Learning (ML) have exploded over the past few years.
However, the current computing infrastructure is insufficient to support all real-world …