Traffic Congestion Prediction Based on Multivariate Modelling and Neural Networks Regressions

Autor: Walid Fahs, Fadlallah Chbib, Abbas Rammal, Rida Khatoun, Ali El Attar, Issam Zaytoun, Joel Hachem

Publikováno v: Procedia Computer Science. 220:202-209

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::5adf1c85ad3d359e1e5d31f9ad30f891
https://doi.org/10.1016/j.procs.2023.03.028

Unsupervised Learning Algorithms for Denial of Service Detection in Vehicular Networks

Autor: Ali El Attar, Ahmad Fadlallah, Fadlallah Chbib, Rida Khatoun

Publikováno v: 2022 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME).

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::fac8b914566f0e34b2a2edd886db4fef
https://doi.org/10.1109/iceccme55909.2022.9987992

Source Fabrication Detection Model based on Key-value Variables in Reactive Protocols of VANET

Autor: Rida Khatoun, Fadlallah Chbib, Lyes Khoukhi, Jamal Haydar, Walid Fahs

Publikováno v: International Journal of Circuits, Systems and Signal Processing. 14:959-965

The vehicular communication hasbeen considered as the most promising wirelesscommunication technology in the computernetwork scenario, the beginning of which hasmarked a great change for the passengers in therange of safety application. The developme

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::5ba89c16460a41227c95602ad6f951c9
https://doi.org/10.46300/9106.2020.14.122

A cross‐layered scheme for multichannel and reactive routing in vehicular ad hoc networks

Autor: Fadlallah Chbib, Lyes Khoukhi, Walid Fahs, Jamal Haydar, Rida Khatoun

Publikováno v: Transactions on emerging telecommunications technologies
Transactions on emerging telecommunications technologies, 2022, 33 (7), ⟨10.1002/ett.4468⟩

International audience

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f729e1be8f40776c9d3d4cfd385fca7b
https://doi.org/10.1002/ett.4468

IEEE 802.11p performance enhancement based on Markov chain and neural networks for safety applications

Autor: Lyes Khoukhi, Walid Fahs, Jamal Haydar, Fadlallah Chbib, Rida Khatoun

Publikováno v: Annals of Telecommunications-annales des télécommunications
Annals of Telecommunications-annales des télécommunications, Springer, 2021, 76 (9-10), pp.617-632. ⟨10.1007/s12243-021-00846-y⟩
Annals of Telecommunications-annales des télécommunications, 2021, 76 (9-10), pp.617-632. ⟨10.1007/s12243-021-00846-y⟩

International audience; Vehicular communication is recently considered as one of the key future technology to improve the safety of vehicles, the efficiency of traffic and the comfort for both drivers and pedestrians. Vehicular communications, based

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::55fb53ed70c95e686c7b54ea1c4d9aef
https://hal-normandie-univ.archives-ouvertes.fr/hal-03404239