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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: ,  ,   and    
Open Access
|Jan 2023
Authors

Authors

Hafida Khalfaoui

hafidakhalfaoui1996@gmail.com

LIMATI Laboratory, Sultan Moulay Slimane University, Beni Mellal, Morocco

Abdellah Azmani

a.azmani@uae.ac.ma

Intelligent Automation Laboratory, Abdelmalek Essaadi University, Tetouan, Morocco

Abderrazak Farchane

a.farchane@gmail.com

LIMATI Laboratory, Sultan Moulay Slimane University, Beni Mellal, Morocco

Said Safi

safi.said@gmail.com

LIMATI Laboratory, Sultan Moulay Slimane University, Beni Mellal, Morocco
DOI: https://doi.org/10.2478/acss-2022-0011 | Journal eISSN: 2255-8691 | Journal ISSN: 2255-8683
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Language: English
Page range: 101 - 109
Published on: Jan 24, 2023
Published by: Riga Technical University
In partnership with: Paradigm Publishing Services
Publication frequency: Volume open
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.

Volume 27 (2022): Issue 2 (December 2022)
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