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

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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

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,

quality of service,

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.

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