An Ensemble-Based Machine Learning Model for Forecasting Network Traffic in VANET-Reference-Cited by-同舟云学术

An Ensemble-Based Machine Learning Model for Forecasting Network Traffic in VANET

Published:2023 Issue: Volume:11 Page:22855-22870
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Amiri Parvin Ahmadi Doval¹^ORCID,Pierre Samuel¹

Affiliation:

1. Department of Computer and Software Engineering, Mobile Computing and Networking Research Laboratory (LARIM), Polytechnique Montréal, Montreal, QC, Canada

Funder

supervisor

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10061695.pdf?arnumber=10061695

Reference52 articles.

1. Progress and challenges in intelligent vehicle area networks

2. Application of EOS-ELM With Binary Jaya-Based Feature Selection to Real-Time Transient Stability Assessment Using PMU Data

3. Traffic Prediction for Intelligent Transportation System using Machine Learning

4. A Centralized and Dynamic Network Congestion Classification Approach for Heterogeneous Vehicular Networks

5. Performance Analysis of Google Colaboratory as a Tool for Accelerating Deep Learning Applications

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