The Effect of Using Attribute Information in Network Traffic Prediction with Deep Learning-Reference-Cited by-同舟云学术

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The Effect of Using Attribute Information in Network Traffic Prediction with Deep Learning

Published:2018-10 Issue: Volume: Page:
ISSN:
Container-title:2018 International Conference on Information and Communication Technology Convergence (ICTC)
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Author:

Tokuyama Yusuke,Fukushima Yukinobu,Yokohira Tokumi

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8509497/8539346/08539488.pdf?arnumber=8539488

Cited by 10 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. In-Depth Insights into the Application of Recurrent Neural Networks (RNNs) in Traffic Prediction: A Comprehensive Review;Algorithms;2024-09-06

2. A Geometric Approach to Real-time Quality of Experience Prediction in Volatile Edge Networks;2022 18th International Conference on Network and Service Management (CNSM);2022-10-31

3. Moving Target Defense Strategy Selection Method Based on Long-term Traffic Prediction;2022 4th International Conference on Data Intelligence and Security (ICDIS);2022-08

4. HMM-LSTM for Proactive Traffic Prediction in 6G Wireless Networks;2021 IEEE 21st International Conference on Communication Technology (ICCT);2021-10-13

5. An EMD- and GRU-based hybrid network traffic prediction model with data reconstruction;2021 IEEE International Conference on Communications Workshops (ICC Workshops);2021-06

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