Fault Prediction and Recovery Using Machine Learning Techniques and the HTM Algorithm in Vehicular Network Environment-Reference-Cited by-同舟云学术

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Fault Prediction and Recovery Using Machine Learning Techniques and the HTM Algorithm in Vehicular Network Environment

Published:2024 Issue: Volume:5 Page:132-145
ISSN:2687-7813
Container-title:IEEE Open Journal of Intelligent Transportation Systems
language:
Short-container-title:IEEE Open J. Intell. Transp. Syst.

Author:

Zidi Salah¹^ORCID,Alaya Bechir¹^ORCID,Moulahi Tarek²^ORCID,Al-Shargabi Amal²^ORCID,Khediri Salim El²^ORCID

Affiliation:

1. Electrical Department, Gabes University, Gabes, Tunisia

2. Department of Information Technology, College of Computer, Qassim University, Buraydah, Saudi Arabia

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/8784355/10382186/10403965.pdf?arnumber=10403965

Reference58 articles.

1. A survey and comparative study of QoS aware broadcasting techniques in VANET

2. Survey on Artificial Intelligence (AI) techniques for Vehicular Ad-hoc Networks (VANETs)

3. VANET security surveys

4. A review on safety failures, security attacks, and available countermeasures for autonomous vehicles

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Hybrid Fault Prediction and Recovery Framework for VANETs using AI and Federated IoT;2024 International Conference on Inventive Computation Technologies (ICICT);2024-04-24

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