Deep Learning-Based Big Data Analytics for Internet of Vehicles: Taxonomy, Challenges, and Research Directions
The Internet of Vehicles (IoV) is a developing technology attracting attention from the industry and the academia. Hundreds of millions of vehicles are projected to be connected within the IoV environments by 2035. Each vehicle in the environment is expected to generate massive amounts of data. Curr...
Enregistré dans:
Auteurs principaux: | Haruna Chiroma, Shafi’i M. Abdulhamid, Ibrahim A. T. Hashem, Kayode S. Adewole, Absalom E. Ezugwu, Saidu Abubakar, Liyana Shuib |
---|---|
Format: | article |
Langue: | EN |
Publié: |
Hindawi Limited
2021
|
Sujets: | |
Accès en ligne: | https://doaj.org/article/60ab02f2ab0d4d88a6fd25d6a471ddbf |
Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
-
Metaheuristic Routing: A Taxonomy and Energy-Efficient Framework for Internet of Things
par: Bharti Rana, et autres
Publié: (2021) -
Big Data Energy Management, Analytics and Visualization for Residential Areas
par: Ragini Gupta, et autres
Publié: (2020) -
Privacy-Preserving Solutions in Blockchain-Enabled Internet of Vehicles
par: Konstantinos Kaltakis, et autres
Publié: (2021) -
OntoTouTra: Tourist Traceability Ontology Based on Big Data Analytics
par: Juan Francisco Mendoza-Moreno, et autres
Publié: (2021) -
Toward a Consistent Taxonomy for Scenario-Based Development and Test Approaches for Automated Vehicles: A Proposal for a Structuring Framework, a Basic Vocabulary, and Its Application
par: Markus Steimle, et autres
Publié: (2021)