Edge computing in industrial internet of things: Architecture, advances and challenges
The Industrial Internet of Things (IIoT) is a crucial research field spawned by the Internet of
Things (IoT). IIoT links all types of industrial equipment through the network; establishes data …
Things (IoT). IIoT links all types of industrial equipment through the network; establishes data …
Cybersecurity for autonomous vehicles: Review of attacks and defense
As technology has evolved, cities have become increasingly smart. Smart mobility is a
crucial element in smart cities, and autonomous vehicles are an essential part of smart …
crucial element in smart cities, and autonomous vehicles are an essential part of smart …
Future intelligent and secure vehicular network toward 6G: Machine-learning approaches
As a powerful tool, the vehicular network has been built to connect human communication
and transportation around the world for many years to come. However, with the rapid growth …
and transportation around the world for many years to come. However, with the rapid growth …
[HTML][HTML] A survey of autonomous vehicles: Enabling communication technologies and challenges
The Department of Transport in the United Kingdom recorded 25,080 motor vehicle fatalities
in 2019. This situation stresses the need for an intelligent transport system (ITS) that …
in 2019. This situation stresses the need for an intelligent transport system (ITS) that …
Comprehensive survey on machine learning in vehicular network: technology, applications and challenges
Towards future intelligent vehicular network, the machine learning as the promising artificial
intelligence tool is widely researched to intelligentize communication and networking …
intelligence tool is widely researched to intelligentize communication and networking …
Deep learning for safe autonomous driving: Current challenges and future directions
Advances in information and signal processing technologies have a significant impact on
autonomous driving (AD), improving driving safety while minimizing the efforts of human …
autonomous driving (AD), improving driving safety while minimizing the efforts of human …
[HTML][HTML] Security and privacy in 6G networks: New areas and new challenges
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 …
been found, which undoubtedly promotes the exploratory research of 6G networks as the …
Flight delay prediction based on aviation big data and machine learning
Accurate flight delay prediction is fundamental to establish the more efficient airline
business. Recent studies have been focused on applying machine learning methods to …
business. Recent studies have been focused on applying machine learning methods to …
When machine learning meets privacy in 6G: A survey
The rapid-developing Artificial Intelligence (AI) technology, fast-growing network traffic, and
emerging intelligent applications (eg, autonomous driving, virtual reality, etc.) urgently …
emerging intelligent applications (eg, autonomous driving, virtual reality, etc.) urgently …
Unified biometric privacy preserving three-factor authentication and key agreement for cloud-assisted autonomous vehicles
Autonomous vehicles (AVs) are increasingly common, although there remain a number of
limitations that need to be addressed in order for their deployment to be more widespread …
limitations that need to be addressed in order for their deployment to be more widespread …