The next-generation network (6G) has more strict requirements for the online learning ability
and high interpretability of the learned systems. Machine learning is expected to be …

Deep Neural Networks (DNN) has been widely applied in big data-driven Internet of Things
(IoT) for excellent learning ability, while the black-box nature of DNN leads to uncertainty of …

Artificial intelligence (AI) and machine learning (ML) are widely employed to make the
solutions more accurate and autonomous in many smart and intelligent applications in the …

In the era of beyond 5G technology, it is expected that more and more applications can use
deep neural network (DNN) models for different purposes with minimum inference time …

Abstract Internet-of-Things (IoT) services become closely coupled with machine learning
and cloud computing, where the 5G network provides the connectivity for the IoT devices …

With the increasingly mature sensor technology and the increasing popularity of broadband
network,“the Internet-of-Everything” era is coming, and the mobile Internet of Things (IoT) is …

With the advent of artificial intelligence (AI), there has been an attempt to model a similar
behavior among computers, so that they can make decisions autonomously, just like …

In this study, we leverage the fusion of edge computing, artificial intelligence (AI) methods,
and facilities provided by B5G to build a heterogeneous set of AI techniques for COVID-19 …

The exponential increase in Internet of Things (IoT) devices coupled with 6G pushing
towards higher data rates and connected devices has sparked a surge in data …

Deep learning is a subclass of machine learning. In the last few years, this has come to
prominence with the core availability of GPUs for computing. There are many applications in …