There are thousands or even tens of thousands of satellites in Low Earth Orbit (LEO). How to
ensure the economic sustainability of LEO satellite constellation construction is an important …

Recently, the applications of deep neural network (DNN) have been very prominent in many
fields due to its superior feature extraction performance. However, the high-dimension …

Deep learning (DL) models have emerged as a promising solution for the Internet of Things
(IoT). However, due to their computational complexity, DL models consume significant …

Cloud computing, with its novel presence at the cloud Edge, proves indispensable to the
success of the fifth (5G) and sixth-generation (6G) networks. This due to the myriad set of …

Edge intelligence in radio access network (RAN) is an emerging concept wherein machine
learning (ML) driven self-organizing network (SON) functions reside in edge nodes or base …

Web-based Deep Neural Networks (DNNs) enhance the ability of object recognition and has
attracted considerable attention in mobile Web AR and other services. However, neither …

Deep neural networks (DNNs) have been widely used in many intelligent applications such
as object recognition and automatic driving due to their superior performance in conducting …

As the key technology of artificial intelligence (AI), Deep Neural Networks (DNNs) have been
widely used in mobile applications, such as video analytics in autonomous driving …

Pushing artificial intelligence (AI) from central cloud to network edge has reached board
consensus in both industry and academia for materializing the vision of artificial intelligence …

Collaborative deep neural network (DNN) inference over edge and cloud is emerging as an
effective approach for enabling several Internet of Things (IoT) applications. Edge devices …