In the era of smart healthcare, Internet of Medical Things-based Cyber-Physical Systems
(IoMT-based-CPS) play an important role in acquiring, evaluating, monitoring, tracking, and …

In smart city scenarios, the huge proliferation of monitoring cameras scattered in public
spaces has posed many challenges to network and processing infrastructure. A few dozen …

To keep pace with the explosive growth of Artificial Intelligence (AI) and Machine Learning
(ML)-dominated applications, distributed intelligence solutions are gaining momentum …

The emergence of in-memory computing has shed light on solving high-power consumption
and low computation efficiency of the traditional computers built with von Neumann …

The evolution of edge computing devices has enabled machine intelligence techniques to
process data close to its producers (the sensors) and end-users. Although edge devices are …

Several Internet of Things (IoT) applications are booming which rely on advanced artificial
intelligence (AI) and, in particular, machine learning (ML) algorithms to assist the users and …

In Internet of Multimedia Things (IoMT) systems, Internet cameras installed in buildings and
streets are major sources of sensing data. From these large-scale video streams, it is …

Thanks to recent advancements in edge computing, the traditional centralized cloud-based
approach to deploy Artificial Intelligence (AI) techniques will be soon replaced or …

The large increase in the number of Internet of Things (IoT) devices have revolutionised the
way data is processed, which added to the current trend from cloud to edge computing has …

The emergence of novel architectures such as fog and edge computing have blurred the
boundaries between the network core and its periphery leading the Internet towards a …