The recent advances in information and communication technology (ICT) have further
extended Internet of Things (IoT) from the sole “things” aspect to the omnipotent role of …

The widespread use of mobile devices and sensors has motivated data-driven applications
that can leverage the power of big data to benefit many aspects of our daily life, such as …

In recent years, the investigations on cyber-physical systems (CPS) have become
increasingly popular in both academia and industry. A primary obstruction against the …

Distributed edge intelligence is a disruptive research area that enables the execution of
machine learning and deep learning (ML/DL) algorithms close to where data are generated …

In recent years, the exploration on large-scale cyber–physical systems (CPSs) has become
a fertile research field of significant impact. Large-scale CPS applications cover not only …

Deep neural networks (DNNs) have shown great success in completing complex tasks.
However, DNNs inevitably bring high computational cost and storage consumption due to …

In the present scenario, the transportation Cyber Physical System (CPS) improves the
reliability and efficiency of the transportation systems by enhancing the interactions between …

Pervasive edge computing (PEC) is an emerging paradigm for the industrial Internet of
Things (IIoT), and software-defined networks (SDN) offer lower latency services, and …

The cyber-physical cloud systems (CPCSs) release powerful capability in provisioning the
complicated industrial services. Due to the advances of machine learning (ML) in attack …

Both artificial intelligence (AI) and domain knowledge from human experts play an important
role in manufacturing decision making. Smart manufacturing emphasizes a fully automated …