Machine Learning for Vehicular Networks: Recent Advances and Application Examples-Reference-Cited by-同舟云学术

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Machine Learning for Vehicular Networks: Recent Advances and Application Examples

Published:2018-06 Issue:2 Volume:13 Page:94-101
ISSN:1556-6072
Container-title:IEEE Vehicular Technology Magazine
language:
Short-container-title:IEEE Veh. Technol. Mag.

Author:

Ye Hao^ORCID,Liang Le^ORCID,Ye Li Geoffrey,Kim JoonBeom,Lu Lu^ORCID,Wu May

Funder

Intel Corporation

National Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Automotive Engineering

Link

http://xplorestaging.ieee.org/ielx7/10209/8361760/08345672.pdf?arnumber=8345672

Cited by 219 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. Spatio-temporal graph learning: Traffic flow prediction of mobile edge computing in 5G/6G vehicular networks;Computer Networks;2024-10

2. Fully distributed multi-agent processing strategy applied to vehicular networks;Vehicular Communications;2024-10

3. Data-driven hybrid modelling of waves at mid-frequencies range: Application to forward and inverse Helmholtz problems;Journal of Computational Science;2024-09

4. Joint Accuracy and Latency Optimization for Quantized Federated Learning in Vehicular Networks;IEEE Internet of Things Journal;2024-09-01

5. Improving VANET Data Dissemination Efficiency with Deep Neural Networks;Journal of Network and Systems Management;2024-08-25

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