Results 61 to 70 of about 14,507,899 (212)

A Novel Base-Station Selection Strategy for Cellular Vehicle-to-Everything (C-V2X) Communications

open access: yesApplied Sciences, 2019
Cellular vehicle-to-everything (C-V2X) communication facilitates the improved safety, comfort, and efficiency of vehicles and mobility by exchanging information between vehicles and other entities.
Qiaozhi Hua   +3 more
doaj   +1 more source

Towards Generalisable and Explainable Traffic Signal Control via Deep Reinforcement Learning and Large Language Models

open access: yesCAAI Transactions on Intelligence Technology, Volume 11, Issue 2, Page 483-497, April 2026.
ABSTRACT As a government‐regulated public service, traffic signal control (TSC) requires reliable and transparent decision‐making. However, existing deep reinforcement learning (DRL) methods, despite improvements in control accuracy, still lack explainability and generalisation, severely limiting their applicability in real‐world environments.
Hao Huang   +8 more
wiley   +1 more source

Understanding the Autonomous Electric Vehicle Cyber Threat Landscape: A Focus on Infrastructure, Threats and Ontology‐Based Modelling

open access: yesEnergy Internet, Volume 3, Issue 1, Page 39-51, April 2026.
ABSTRACT The development of autonomous electric vehicles (AEVs) represents the convergence of two simultaneous automotive revolutions: electric vehicles (EVs) and autonomous vehicles (AVs). AVs require sensors, decision‐making systems and actuation systems to achieve autonomous driving, whereas EVs require intelligent management and real‐time ...
Ohud Alsadi   +5 more
wiley   +1 more source

A Comparison of the V2X Communication Systems: ITS-G5 and C-V2X

open access: yes, 2019
International audienceVehicle to vehicle/infrastructure communication systems have a significant role to play in optimizing road traffic and improving road safety.
Mannoni, Valérian   +7 more
core   +1 more source

Pathways to Zero‐Carbon Energy Systems in Remote Communities of Canada

open access: yesEnergy Storage, Volume 8, Issue 1, February 2026.
ABSTRACT Remote community energy systems in Canada are undergoing supply and load technology‐based interventions to support decarbonization efforts. As wind and solar electricity generators are the predominant energy sources, we evaluate zero‐carbon electrification pathways for remote microgrid applications over a long‐term planning horizon.
Hayley Knowles   +2 more
wiley   +1 more source

ITS-G5 and C-V2X Link Level Performance Measurements [PDF]

open access: yes, 2021
Safety-critical ITS applications, as for instance automated urban driving supported by collaborative perception requires a reliable V2X communication link to forward information about detected objects, i.e.
Rashdan, Ibrahim   +3 more
core  

Decentralized Privacy Preserving Data Sharing Model for Electronic Health Records (EHR) Using Blockchain Technology

open access: yesIET Blockchain, Volume 6, Issue 1, January/December 2026.
This article talks about blockEHR Healthcare providers can validate raw physiological data with the help of IoMT devices and edge computing role‐based access control (RBAC). ABSTRACT In centralized systems prone to data breaches and single points of failure, issues about security, privacy, scalability, and real‐time sharing of electronic health records
R. Rajakarthik   +2 more
wiley   +1 more source

A Review on Implementation of Vehicle to Everything (V2X): Benefits, Barriers and Measures

open access: yes, 2022
Increasing the number of electric vehicles (EVs) is necessary to support decarbonization of energy systems. Although high penetration of EVs brings new challenges to power systems as to provide sufficient energy and capacity for EVs charging, discharging
Le, Anh Tuan   +5 more
core   +1 more source

C-V2X and 5G-V2X: Challenges and Improvement Strategies

open access: yes
Vehicular networks are at the core of intelligent transportation systems, empowering vehicles to communicate with each other (V2V) and with infrastructure (V2I) to enhance road safety and traffic efficiency. Given the limitations of traditional Dedicated
Pal, Raghavendra   +5 more
core   +1 more source

Collaborative Vision: Face Recognition and Detection Using Ensemble Deep Learning in a Federated Learning Framework

open access: yesIET Computers &Digital Techniques, Volume 2026, Issue 1, 2026.
The continuous demand for reliable and privacy‐sensitive face recognition and detection has led to improvements in machine learning and federated learning (FL) frameworks. While the centralized framework of existing solutions is beneficial for data collection, it presents significant privacy concerns and challenges due to the diversity of data types ...
Wisam Hazim Gwad   +4 more
wiley   +1 more source

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