Large-scale Network Traffic Prediction With LSTM and Temporal Convolutional Networks-Reference-Cited by-同舟云学术

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Large-scale Network Traffic Prediction With LSTM and Temporal Convolutional Networks

Published:2022-05-23 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Robotics and Automation (ICRA)
language:
Short-container-title:

Author:

Bi Jing¹,Yuan Haitao²,Xu Kangyuan¹,Ma Haisen¹,Zhou MengChu³

Affiliation:

1. Beijing University of Technology,Faculty of Information Technology,Beijing,China,100124

2. School of Automation Science and Electrical Engineering, Beihang University,Beijing,China,100191

3. New Jersey Institute of Technology,Department of Electrical and Computer Engineering,Newark,NJ,USA,07102

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9811522/9811357/09812427.pdf?arnumber=9812427

Reference28 articles.

1. Fully Convolutional Networks for Semantic Segmentation;long;IEEE Transactions on Pattern Analysis and Machine Intelligence,2017

2. Long-term traffic volume prediction based on K-means Gaussian interval type-2 fuzzy sets

3. An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling;bai;ArXiv,2018

4. Deep Temporal Convolutional Networks for Short-Term Traffic Flow Forecasting

5. Integrated deep learning method for workload and resource prediction in cloud systems

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