Heterogeneous networks (HetNets) merge different types of networks into an integrated
network system, which has become a hot research area in recent years towards next …

With the rapid advancement and deployment of intelligent agents and artificial general
intelligence (AGI), a fundamental challenge for future networks is enabling efficient …

Internet of Things (IoT) aims to create a vast network with billions of things that can
seamlessly create and exchange data, establishing intelligent interactions between people …

Enormous advances in the domain of statistical machine learning, the availability of large
amounts of training data, and increasing computing power have made Artificial Intelligence …

With the rapid development of mobile devices and deep learning, mobile smart applications
using deep learning technology have sprung up. It satisfies multiple needs of users, network …

Abstract Wireless Sensor Networks (WSNs) are often used for critical applications where
trust and security are of paramount importance. Trust evaluation is one of the key …

Introduction Machine learning research into automated dementia diagnosis is becoming
increasingly popular but so far has had limited clinical impact. A key challenge is building …

In recent years, significant advancements in wireless underwater communication and
acoustic sensor technology have spurred the exploration and utilization of the ocean's vast …

With the fast development of digital technologies, we are running into a digital world. The
relationship among people and the connections among things become more and more …

The Internet of Vehicles (IoV) is a technology that is connected to the public internet and is a
subnetwork of the Internet of Things (IoT) in which vehicles with sensors are connected to a …