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CORRECTION article

Front. Artif. Intell., 13 January 2026

Sec. Machine Learning and Artificial Intelligence

Volume 8 - 2025 | https://doi.org/10.3389/frai.2025.1768205

Correction: Deep learning neural networks-based traffic predictors for V2X communication networks

  • 1Department of Electrical Engineering, Faculty of Engineering, Aswan University, Aswan, Egypt
  • 2Computer Engineering Department, College of Computer and Information Technology, Taif University, Taif, Saudi Arabia
  • 3Department of Electrical Engineering, Faculty of Engineering, Al-Azhar University, Qena, Egypt
  • 4Department of Computer Systems Program-Electrical Engineering, Faculty of Engineering-Shoubra, Benha University, Cairo, Egypt
  • 5Nile Higher Institute of Engineering and Technology, Mansoura, Egypt

A Correction on
Deep learning neural networks-based traffic predictors for V2X communication networks

by Magdy Saady, M., Ghazi Zaini, H., Essai, M. H., El_Rahman, S. A., Omer, O. A., Abdellah, A. R., and Elnazer, S. (2025). Front. Artif. Intell. 8:1701951. doi: 10.3389/frai.2025.1701951

The affiliation for Ali R. Abdellah was erroneously given as (5) Department of Electrical Engineering, Faculty of Engineering, Al-Azhar University, Qena/Aswan, Egypt.

This affiliation has been removed.

The correct affiliation for Ali R. Abdellah should: 3 Department of Electrical Engineering, Faculty of Engineering, Al-Azhar University, Qena, Egypt.

The affiliation listed for author Shaima Elnazer was erroneously given as (6). This should be: 5 Nile Higher Institute of Engineering and Technology, Mansoura, Egypt.

The original version of this article has been updated.

Publisher's note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Keywords: CNN, deep learning, optimizers, RNN, traffic prediction, V2X

Citation: Saady MM, Zaini HG, Essai Ali MH, El_Rahman SA, Omer OA, Abdellah AR and Elnazer S (2026) Correction: Deep learning neural networks-based traffic predictors for V2X communication networks. Front. Artif. Intell. 8:1768205. doi: 10.3389/frai.2025.1768205

Received: 15 December 2025; Revised: 16 December 2025;
Accepted: 16 December 2025; Published: 13 January 2026.

Approved by:

Frontiers Editorial Office, Frontiers Media SA, Switzerland

Copyright © 2026 Saady, Zaini, Essai Ali, El_Rahman, Omer, Abdellah and Elnazer. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Marina Magdy Saady, ZW5nLnJlbmEyMDEzMzNAZ21haWwuY29t

ORCID: Hatim Ghazi Zaini orcid.org/0000-0002-9121-8552
Sahar A. El_Rahman orcid.org/0000-0002-2676-4311
Shaima Elnazer orcid.org/0000-0002-2794-2749

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.