Explanations in autonomous driving: A survey
The automotive industry has witnessed an increasing level of development in the past
decades; from manufacturing manually operated vehicles to manufacturing vehicles with a …
decades; from manufacturing manually operated vehicles to manufacturing vehicles with a …
Machine learning in IoT security: Current solutions and future challenges
The future Internet of Things (IoT) will have a deep economical, commercial and social
impact on our lives. The participating nodes in IoT networks are usually resource …
impact on our lives. The participating nodes in IoT networks are usually resource …
[HTML][HTML] A comprehensive survey on the application of deep and reinforcement learning approaches in autonomous driving
Abstract Recent advances in Intelligent Transport Systems (ITS) and Artificial Intelligence
(AI) have stimulated and paved the way toward the widespread introduction of Autonomous …
(AI) have stimulated and paved the way toward the widespread introduction of Autonomous …
Autonomous driving cars in smart cities: Recent advances, requirements, and challenges
An unprecedented proliferation of autonomous driving technologies has been observed in
recent years, resulting in the emergence of reliable and safe transportation services. In the …
recent years, resulting in the emergence of reliable and safe transportation services. In the …
Backscatter communication assisted by reconfigurable intelligent surfaces
In a backscatter communication system, the backscatter device (BD) transmits its messages
to the backscatter receiver (BR) by reflecting the incident signal from an external radio …
to the backscatter receiver (BR) by reflecting the incident signal from an external radio …
Advancing pharmacy and healthcare with virtual digital technologies
Digitalisation of the healthcare sector promises to revolutionise patient healthcare globally.
From the different technologies, virtual tools including artificial intelligence, blockchain …
From the different technologies, virtual tools including artificial intelligence, blockchain …
Deep learning models for traffic flow prediction in autonomous vehicles: A review, solutions, and challenges
In the last few years, there has been an exponential increase in the usage of the
autonomous vehicles across the globe. It is due to an exponential increase in the popularity …
autonomous vehicles across the globe. It is due to an exponential increase in the popularity …
A survey on machine learning-based misbehavior detection systems for 5g and beyond vehicular networks
A Boualouache, T Engel - IEEE Communications Surveys & …, 2023 - ieeexplore.ieee.org
Advances in Vehicle-to-Everything (V2X) technology and onboard sensors have significantly
accelerated deploying Connected and Automated Vehicles (CAVs). Integrating V2X with 5G …
accelerated deploying Connected and Automated Vehicles (CAVs). Integrating V2X with 5G …
Blockchain-based security attack resilience schemes for autonomous vehicles in industry 4.0: A systematic review
Vehicles automation is one of the applications of smart transport system (STS), and has
already been used by many automotive industries, such as Uber, Google, and Toshiba, on …
already been used by many automotive industries, such as Uber, Google, and Toshiba, on …
Attacks on self-driving cars and their countermeasures: A survey
Intelligent Traffic Systems (ITS) are currently evolving in the form of a cooperative ITS or
connected vehicles. Both forms use the data communications between Vehicle-to-Vehicle …
connected vehicles. Both forms use the data communications between Vehicle-to-Vehicle …