The quality assessment of water is a challenging task due to extensive experimental
requirements. However, the process of water quality monitoring can be automated with the …

Symbiotic autonomous systems (SAS) are advanced intelligent and cognitive systems that
exhibit autonomous collective intelligence enabled by coherent symbiosis of human …

Mobile Devices (MDs) support various delay-sensitive and computation-intensive
applications. Yet they only have limited battery energy and computing resources, thereby …

Metaverses have caused significant changes in the industry and their academic foundation
can be traced back to the term cyber–physical–social systems (CPSS), which was proposed …

The majority of IoT edge devices are embedded systems with a tiny microcontroller unit
(MCU), which acts as its brain. When users want their edge devices to continuously improve …

Rapid development of AI technologies has propelled the seamless integration of physical
and cyber worlds with various kinds of online/offline information collected from millions of …

Time flies. Since I took over the Editor-in-Chief position from this journal's founding Editor-in-
Chief, Professor Fei-Yue Wang in 2018, five years has past just like a second. Looking back …

Cascading failure is one of the key issues affecting the reliability of edge-assisted Internet of
Things (IoTs), but is rarely studied. In this paper, a cascading model is developed with full …

Abstract IoT-enhanced Business Processes make use of sensors and actuators to carry out
the process tasks and achieve a specific goal. One of the most important difficulties in the …

With the applications of deep learning in safety-critical domains such as autonomous driving
systems gaining ground, it demands rigorous verification to guarantee the safety and …