Context: The amount and diversity of data have increased drastically in recent years.
However, in certain situations, the data to which a trained Machine Learning model is …

The advancing applications based on machine learning and deep learning in
communication networks have been exponentially increasing in the system architectures of …

With the rapid development of edge intelligence in wireless communication networks,
mobile-edge networks (MENs) have been broadly discussed in academia. Supported by …

The crowd sensing technology can realize the sensing and computing of people, machines,
and environment in smart industrial IoT-based coal mine, which provides a solution for …

The rapid development of the Internet of Vehicles has substantially boosted the prevalence
of vehicular social networks (VSN). However, content security has gradually been a latent …

In ear of smart cities, intelligent medical image recognition technique has become a
promising way to solve remote patient diagnosis in IoMT. Although deep learning-based …

Real-time digital twin technology can enhance traffic safety of intelligent vehicular system
and provide scientific strategies for intelligent traffic management. At the same time, real …

The finance-level Artificial Intelligence of Things (AIoT) is going to become a novel media in
the 6G-driven digital society. Inside the financial AIoT environment, large-scale crowd credit …

Accompanied with the development of green wireless communication, the green Internet of
Vehicles (GIoV) has been a latent solution for future transportation. Among them, intelligent …

In future smart cities supported by cyber-physical social intelligence, autonomous behavioral
decision for vehicular agents is going to become a general demand. Despite much progress …