A Soft Voting Classification Model for Network Traffic Prediction in VANET/V2X-Reference-Cited by-同舟云学术

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A Soft Voting Classification Model for Network Traffic Prediction in VANET/V2X

Published:2023-06-21 Issue: Volume: Page:
ISSN:
Container-title:2023 19th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob)
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Author:

Doval Amiri Parvin Ahmadi¹,Pierre Samuel²

Affiliation:

1. Polytechnique Montreal,Mobile Computing and Networking Research Laboratory,Department of Computer and Software Engineering,Montreal,Canada

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

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10187718/10187720/10187731.pdf?arnumber=10187731

Reference31 articles.

1. EnLSTM-WPEO: Short-Term Traffic Flow Prediction by Ensemble LSTM, NNCT Weight Integration, and Population Extremal Optimization

2. Network Traffic Prediction Using Recurrent Neural Networks

3. Random forest classifier for remote sensing classification

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

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

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