Enhanced edge convolution-based spatial-temporal network for network traffic prediction
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence
Link
https://link.springer.com/content/pdf/10.1007/s10489-023-04626-0.pdf
Reference37 articles.
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3. Nie L, Jiang D, Lv Z (2017) Modeling network traffic for traffic matrix estimation and anomaly detection based on bayesian network in cloud computing networks. Ann Telecommun 72(5):297–305
4. Liang Y, Qiu L (2015) Network traffic prediction based on SVR improved by chaos theory and ant colony optimization. International Journal of Future Generation Communication and Networking 8(1):69–78
5. Sun P, Aljeri N, Boukerche A (2020) Machine learning-based models for real-time traffic flow prediction in vehicular networks. IEEE Network 34(3):178–185
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