A Meta-Learning Scheme for Adaptive Short-Term Network Traffic Prediction-Reference-Cited by-同舟云学术

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A Meta-Learning Scheme for Adaptive Short-Term Network Traffic Prediction

Published:2020-10 Issue:10 Volume:38 Page:2271-2283
ISSN:0733-8716
Container-title:IEEE Journal on Selected Areas in Communications
language:
Short-container-title:IEEE J. Select. Areas Commun.

Author:

He Qing^ORCID,Moayyedi Arash^ORCID,Dan Gyorgy^ORCID,Koudouridis Georgios P.^ORCID,Tengkvist Per

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications

Link

http://xplorestaging.ieee.org/ielx7/49/9198251/09109582.pdf?arnumber=9109582

Cited by 41 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. On time demand traffic estimation based on DBN with Horse herd optimization for next generation wireless network;Expert Systems with Applications;2024-07

2. Empowering Spatial Knowledge Graph for Mobile Traffic Prediction;Proceedings of the 31st ACM International Conference on Advances in Geographic Information Systems;2023-11-13

3. AUTOSIM: Automated Urban Traffic Operation Simulation via Meta-Learning;IEEE/CAA Journal of Automatica Sinica;2023-09

4. Spatiotemporal Self-Attention-Based Network Traffic Prediction in IIoT;Wireless Communications and Mobile Computing;2023-07-14

5. Fine-Grained Traffic Prediction of Communication-and-Collaboration Apps Via Deep-Learning: A First Look at Explainability;ICC 2023 - IEEE International Conference on Communications;2023-05-28

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