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 …
Machine learning-based Road Safety Prediction Strategies for Internet of vehicles (IoV) enabled vehicles: A systematic literature review
This systematic literature review aims to investigate the current state-of-the-art in machine
learning (ML) based road traffic analysis, hindrance estimation, and predicting vehicle safety …
learning (ML) based road traffic analysis, hindrance estimation, and predicting vehicle safety …
A fault-tolerant adaptive genetic algorithm for service scheduling in internet of vehicles
Over the years, a range of Internet of Vehicles services has emerged, along with improved
quality parameters. However, the field still faces several limitations, including resource …
quality parameters. However, the field still faces several limitations, including resource …
Federated learning-based collaborative authentication protocol for shared data in social IoV
In the Social Internet of Vehicles (SIoV), federated learning is able to significantly protect the
private data of the vehicle's client, while reducing the transmission load between entities …
private data of the vehicle's client, while reducing the transmission load between entities …
Survey on energy efficient dynamic sink optimum routing for wireless sensor network and communication technologies
Wireless sensor network (WSN) is frequently being used for increasing the data collection
and monitoring critical parameters. Major challenge in WSN design is achieving the better …
and monitoring critical parameters. Major challenge in WSN design is achieving the better …
A novel deep deterministic policy gradient model applied to intelligent transportation system security problems in 5G and 6G network scenarios
Traffic congestion has been an actual problem in large cities, causing personal
inconvenience and environmental pollution. To solve this problem, new applications for …
inconvenience and environmental pollution. To solve this problem, new applications for …
[HTML][HTML] UAV-based internet of vehicles: a systematic literature review
Abstract The Internet of Vehicles (IoV) is a network of Internet-enabled intelligent vehicles
outfitted with sensors, customized software, and communication technologies, which is a …
outfitted with sensors, customized software, and communication technologies, which is a …
A survey of the social internet of vehicles: Secure data issues, solutions, and federated learning
L **ng, P Zhao, J Gao, H Wu… - IEEE Intelligent …, 2022 - ieeexplore.ieee.org
The Social Internet of Vehicles (SIoV) is constructed so that the vehicle, as an entity,
generates social awareness, which leads to the social behavior of the vehicle. The SIoV has …
generates social awareness, which leads to the social behavior of the vehicle. The SIoV has …
Machine learning and deep learning approaches in IoT
The internet is a booming sector for exchanging information because of all the gadgets in
today's world. Attacks on Internet of Things (IoT) devices are alarming as these devices …
today's world. Attacks on Internet of Things (IoT) devices are alarming as these devices …
When trust meets the internet of vehicles: Opportunities, challenges, and future prospects
Recent technological breakthroughs in vehicular ad hoc networks and the Internet of Things
(IoT) have transformed vehicles into smart objects thus paving the way for the evolution of …
(IoT) have transformed vehicles into smart objects thus paving the way for the evolution of …