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

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

The amount of data available to vehicles has become very large in the vehicular networks’ environment. Failures that mislead real-time data from vehicle sensors and other devices have become massive, and the need for automated techniques that can analyze data to detect malicious sources h...

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Bibliographic Details
Main Authors: Salah Zidi, Bechir Alaya, Tarek Moulahi, Amal Al-Shargabi, Salim El Khediri
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Open Journal of Intelligent Transportation Systems
Subjects:
Vehicular network
fault prediction
fault recovery
Internet of Vehicles (IoV)
machine learning
hierarchical temporal memory (HTM)
Online Access:https://ieeexplore.ieee.org/document/10403965/

Internet

https://ieeexplore.ieee.org/document/10403965/

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