Open Access

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

Hafida Khalfaoui

Hafida Khalfaoui

LIMATI Laboratory, Sultan Moulay Slimane UniversityBeni Mellal, Morocco
Orcid profile
Search for this author on
Sciendo|Google Scholar
Khalfaoui, Hafida
, 
Abdellah Azmani

Abdellah Azmani

Intelligent Automation Laboratory, Abdelmalek Essaadi UniversityTetouan, Morocco
Orcid profile
Search for this author on
Sciendo|Google Scholar
Azmani, Abdellah
, 
Abderrazak Farchane

Abderrazak Farchane

LIMATI Laboratory, Sultan Moulay Slimane UniversityBeni Mellal, Morocco
Search for this author on
Sciendo|Google Scholar
Farchane, Abderrazak
 and 
Said Safi

Said Safi

LIMATI Laboratory, Sultan Moulay Slimane UniversityBeni Mellal, Morocco
Orcid profile
Search for this author on
Sciendo|Google Scholar
Safi, Said
  
Jan 24, 2023
Using a Fuzzy-Bayesian Approach for Predicting the QoS in VANET's Cover Image
About this article
Previous Article
Next Article
Cite
Download Cover
Published Online: Jan 24, 2023
Page range: 101 - 109
DOI: https://doi.org/10.2478/acss-2022-0011
Keywords
© 2022 Hafida Khalfaoui et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.
Language:
English
Publication timeframe:
1 times per year
Journal Subjects:
Computer Sciences, Artificial Intelligence, Information Technology, Project Management, Software Development
Journal RSS Feed