A survey of collaborative machine learning using 5G vehicular communications
SV Balkus, H Wang, BD Cornet… - … Surveys & Tutorials, 2022 - ieeexplore.ieee.org
By enabling autonomous vehicles (AVs) to share data while driving, 5G vehicular
communications allow AVs to collaborate on solving common autonomous driving tasks …
communications allow AVs to collaborate on solving common autonomous driving tasks …
Wi-Fi meets ML: A survey on improving IEEE 802.11 performance with machine learning
Wireless local area networks (WLANs) empowered by IEEE 802.11 (Wi-Fi) hold a dominant
position in providing Internet access thanks to their freedom of deployment and configuration …
position in providing Internet access thanks to their freedom of deployment and configuration …
A survey on the current security landscape of intelligent transportation systems
With the proliferation of embedded technologies and wireless capabilities, today's vehicles
are no longer isolated mechanical machines. They become part of a hyper-connected …
are no longer isolated mechanical machines. They become part of a hyper-connected …
Machine learning models and techniques for VANET based traffic management: Implementation issues and challenges
S Khatri, H Vachhani, S Shah, J Bhatia… - Peer-to-Peer Networking …, 2021 - Springer
Low latency in communication among the vehicles and RSUs, smooth traffic flow, and road
safety are the major concerns of the Intelligent Transportation Systems. Vehicular Ad hoc …
safety are the major concerns of the Intelligent Transportation Systems. Vehicular Ad hoc …
A comprehensive survey on authentication and privacy-preserving schemes in VANETs
P Mundhe, S Verma, S Venkatesan - Computer Science Review, 2021 - Elsevier
Vehicular ad hoc networks (VANETs) promise to enhance transport efficiency, passenger
safety, and comfort through the exchange of traffic and infotainment information to vehicles …
safety, and comfort through the exchange of traffic and infotainment information to vehicles …
Machine learning for security in vehicular networks: A comprehensive survey
A Talpur, M Gurusamy - IEEE Communications Surveys & …, 2021 - ieeexplore.ieee.org
Machine Learning (ML) has emerged as an attractive and viable technique to provide
effective solutions for a wide range of application domains. An important application domain …
effective solutions for a wide range of application domains. An important application domain …
Advancements and Challenges in Networking Technologies: A Comprehensive Survey
This survey paper provides a comprehensive overview of emerging technologies in
networking, focusing on caching in Information-Centric Networking (ICN), context-aware …
networking, focusing on caching in Information-Centric Networking (ICN), context-aware …
Advances in Machine Learning-Driven Cognitive Radio for Wireless Networks: A Survey
NA Khalek, DH Tashman… - … Surveys & Tutorials, 2023 - ieeexplore.ieee.org
The next frontier in wireless connectivity lies at the intersection of cognitive radio (CR)
technology and machine learning (ML), where intelligent networks can provide pervasive …
technology and machine learning (ML), where intelligent networks can provide pervasive …
When machine learning meets spectrum sharing security: Methodologies and challenges
The exponential growth of Internet connected systems has generated numerous challenges,
such as spectrum shortage issues, which require efficient spectrum sharing (SS) solutions …
such as spectrum shortage issues, which require efficient spectrum sharing (SS) solutions …
[HTML][HTML] A systematic literature review about the consumers' side of fake review detection–Which cues do consumers use to determine the veracity of online user …
Background Consumers rely heavily on online user reviews when shopping online and
cybercriminals produce fake reviews to manipulate consumer opinion. Much prior research …
cybercriminals produce fake reviews to manipulate consumer opinion. Much prior research …