The Edge Intelligence (EI) paradigm has recently emerged as a promising solution to
overcome the inherent limitations of cloud computing (latency, autonomy, cost, etc.) in the …

Abstract Internet of Things (IoT) is a technology that connects devices of different types and
characteristics through a network. The massive quantity of the heterogeneous generated …

With the increasing stringent QoS constraints (eg, latency, bandwidth, jitter) imposed by
novel applications (eg, e-Health, autonomous vehicles, smart cities, etc.), as well as the …

In the last decade, researchers have focused on digital technologies within Industry 4.0.
However, it seems the Industry 4.0 hype did not fulfil industry expectations due to many …

Under the times of the Industrial Internet of Things, the traditional centralized machine
learning management method cannot deal with such huge data streams, and the problem of …

Detection of undesirable events in oil and gas wells can help prevent production losses,
environmental accidents, and human casualties and reduce maintenance costs. The scarcity …

Accurate and efficient digital twin construction through real-time multi-attribute sensing and
remote concurrent data analysis is essential in supporting complex connected industrial …

Predictive maintenance (PdM) is a policy applying data and analytics to predict when one of
the components in a real system has been destroyed, and some anomalies appear so that …

Abstract Machines can make an appropriate operating and maintenance choice when
defects are accurately and promptly predicted. Researchers choose data-driven predictive …

In the ongoing COVID-19 pandemic, digital technologies have played a vital role to minimize
the spread of COVID-19, and to control its pitfalls for the general public. Without such …