Have a personal or library account? Click to login
Using a Fuzzy-Bayesian Approach for Predicting the QoS in VANET Cover

Using a Fuzzy-Bayesian Approach for Predicting the QoS in VANET

Applied Computer Systems
Volume 27 (2022): Issue 2 (December 2022)
By: Hafida Khalfaoui,  Abdellah Azmani,  Abderrazak Farchane and  Said Safi  
Open Access
|Jan 2023

Metrics

DOI: https://doi.org/10.2478/acss-2022-0011 | Journal eISSN: 2255-8691 | Journal ISSN: 2255-8683
Journal RSS Feed
Language: English
Page range: 101 - 109
Published on: Jan 24, 2023
Published by: Riga Technical University
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year
Keywords:
Bayesian network,
fuzzy-Bayesian,
fuzzy logic,
prediction,
quality of service,
risk analysis,
VANET
Related subjects:
Computer sciences,
Artificial intelligence,
Information technology,
Project management,
Software development

© 2023 Hafida Khalfaoui, Abdellah Azmani, Abderrazak Farchane, Said Safi, published by Riga Technical University
This work is licensed under the Creative Commons Attribution 4.0 License.

Previous articleVolume 27 (2022): Issue 2 (December 2022)Next article