A review of artificial intelligence and machine learning for incident detectors in road transport systems
Road transport is the most prone to accidents, resulting in significant fatalities and injuries. It
also faces a plethora of never-ending problems, such as the frequent loss of lives and …
also faces a plethora of never-ending problems, such as the frequent loss of lives and …
[HTML][HTML] Knowledge mapping with CiteSpace, VOSviewer, and SciMAT on intelligent connected vehicles: Road safety issue
W Ji, S Yu, Z Shen, M Wang, G Cheng, T Yang, Q Yuan - Sustainability, 2023 - mdpi.com
The rapid development of the Intelligent connected vehicle (ICV) industry has stimulated
technological innovation in energy and communication while also highlighting the need for …
technological innovation in energy and communication while also highlighting the need for …
Distance-aware hierarchical federated learning in blockchain-enabled edge computing network
Federated learning (FL) has been proposed as an emerging paradigm to perform privacy-
preserving distributed machine learning in the Internet of Things (IoT). However, the …
preserving distributed machine learning in the Internet of Things (IoT). However, the …
Artificial Intelligence techniques to mitigate cyber-attacks within vehicular networks: Survey
A Haddaji, S Ayed, LC Fourati - Computers and Electrical Engineering, 2022 - Elsevier
Rapid advancements in communication technology have made vehicular networks a reality
with numerous applications. However, vehicular network security is still an open research …
with numerous applications. However, vehicular network security is still an open research …
Network slicing based learning techniques for iov in 5g and beyond networks
The effects of transport development on people's lives are diverse, ranging from economy to
tourism, health care, etc. Great progress has been made in this area, which has led to the …
tourism, health care, etc. Great progress has been made in this area, which has led to the …
Security and trust management in the internet of vehicles (IoV): Challenges and machine learning solutions
E Alalwany, I Mahgoub - Sensors, 2024 - mdpi.com
The Internet of Vehicles (IoV) is a technology that is connected to the public internet and is a
subnetwork of the Internet of Things (IoT) in which vehicles with sensors are connected to a …
subnetwork of the Internet of Things (IoT) in which vehicles with sensors are connected to a …
Intelligent handover algorithm for vehicle-to-network communications with double-deep Q-learning
For vehicle-to-network communications, handover (HO) management enables vehicles to
maintain the connection with the network while transiting through coverage areas of different …
maintain the connection with the network while transiting through coverage areas of different …
Graph neural network-based cell switching for energy optimization in ultra-dense heterogeneous networks
The development of ultra-dense heterogeneous networks (HetNets) will cause a significant
rise in energy consumption with large-scale base station (BS) deployments, requiring …
rise in energy consumption with large-scale base station (BS) deployments, requiring …
[HTML][HTML] Joint computation offloading and resource allocation in vehicular edge computing networks
Abstract Vehicular Edge Computing (VEC) is a promising technique to accommodate the
computation-intensive and delay-sensitive tasks through offloading the tasks to the …
computation-intensive and delay-sensitive tasks through offloading the tasks to the …
Privacy preserving machine learning for electric vehicles: A survey
In the recent years, the interest of individual users in modern electric vehicles (EVs) has
grown exponentially. An EV has two major components, which make it different from …
grown exponentially. An EV has two major components, which make it different from …