Prognostics and health management (PHM) has become a crucial aspect of the
management of engineering systems and structures, where sensor hardware and decision …

Prognostics is used in predictive maintenance to estimate the remaining time to the end of
the life of a system or component. Among the many challenges of prognostics is the need for …

Predicting the long-term lifetime of power MOSFET devices plays a central role in the
prevention of unprecedented failures for power MOSFETs used in safety-critical …

Artificial intelligence (AI) is recognized as an area of strategic importance and a key driver of
sustainable development in the era of Industry 4.0. AI is a field of research that deals with the …

The door system is the core part of the elevator. An accurate diagnosis of the door system
can aid engineers in troubleshooting and reduce maintenance costs. However, the research …

The field of image analysis with artificial intelligence has grown exponentially thanks to the
development of neural networks. One of its most promising areas is medical diagnosis …

Over the past years, advanced prognostic models and approaches have been developed.
Most existing approaches are tailored to one specific system and cannot adaptively be used …

This paper proposes a new metric to compare artificial intelligence (AI) algorithms for
malware detection using system calls. With the increasing complexity of malware and the …

This chapter centers on AIoMT training, testing, and validation. The application scope of
artificial intelligence (AI) continues to widen across many domains, such as the medical field …

The rapid integration of artificial intelligence across traditional research domains has
generated an amalgamation of nomenclature. As cross-discipline teams work together on …