While 5G is well-known for network cloudification with micro-service based architecture, the
next generation networks or the 6G era is closely coupled with intelligent network …

The outstanding performance of deep neural networks has promoted deep learning
applications in a broad set of domains. However, the potential risks caused by adversarial …

With the deployment of more and more 5g networks, the limitations of 5g networks have
been found, which undoubtedly promotes the exploratory research of 6G networks as the …

The development of Internet of Things (IoT) brings new changes to various fields.
Particularly, industrial IoT (IIoT) is promoting a new round of industrial revolution. With more …

The significant growth of modern technology and smart systems has left a massive
production of big data. Not only are the dimensional problems that face the big data, but …

Employee productivity is of paramount importance to most organizations. Studies have
shown that a suitable indoor lighting condition is key to help employees remain productive …

In this article, a new fusion scheme based on the Dempster-Shafer Evidence Theory (DSET)
is introduced for Epileptic Seizure Detection (ESD) in brain disorders. Firstly, various …

Networks that constantly transmit information and change structure are becoming
increasingly prevalent. However, traditional privacy models are designed to protect static …

Fast-growing smart city applications, such as smart delivery, smart community, and smart
health, are generating big data that are widely distributed on the internet. IoT (Internet of …

In this article, we propose a trustworthy privacy-preserving federated learning (FL)-based
deep learning (DL) service framework for Industrial Internet of Things-enabled systems. FL …