Dubbed “the successor to the mobile Internet,” the concept of the Metaverse has grown in
popularity. While there exist lite versions of the Metaverse today, they are still far from realizing …

This paper presents a comprehensive study on radar detection using deep learning with
application to automotive vehicles. Automotive radars face complex target scenarios consisting …

Dubbed as the next-generation Internet, the meta-verse is a virtual world that allows users
to interact with each other or objects in real-time using their avatars. The metaverse is …

As the Metaverse is iteratively being defined, its potential to unleash the next wave of digital
disruption and create real-life value becomes increasingly clear. With distinctive features of …

The physical-virtual world synchronization to develop the Metaverse will require a massive
transmission and exchange of data. In this paper, we introduce semantic communication for …

Federated Learning(FL) has attracted wide research interest due to its potential in building
machine learning models while preserving users’ data privacy. However, due to the …

Unmanned aerial vehicles (UAVs) have gained wide research interests due to their technological
advancement and high mobility. The UAVs are equipped with increasingly advanced …

To enable ubiquitous Artificial Intelligence (AI) in the next-generation wireless communications
networks, computation-intensive tasks such as data processing and model training have …

Today, modern unmanned aerial vehicles (UAVs) are equipped with increasingly advanced
capabilities that can run applications enabled by machine learning techniques, which …

Federated learning (FL) is a distributed machine learning paradigm with a promising future,
which can preserve data privacy while training the global model collaboratively. However, …