Multivariate Machine Learning Models for Short-Term Forecast of Lightpath Performance-Reference-Cited by-同舟云学术

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Multivariate Machine Learning Models for Short-Term Forecast of Lightpath Performance

Published:2021-11-15 Issue:22 Volume:39 Page:7146-7158
ISSN:0733-8724
Container-title:Journal of Lightwave Technology
language:
Short-container-title:J. Lightwave Technol.

Author:

Allogba Stephanie,Aladin Sandra^ORCID,Tremblay Christine^ORCID

Funder

Natural Sciences and Engineering Research Council of Canada

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Atomic and Molecular Physics, and Optics

Link

http://xplorestaging.ieee.org/ielx7/50/9606959/09531386.pdf?arnumber=9531386

Cited by 8 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. Make optical transmission quality prediction more effective: A parallel computing view;Optics Communications;2024-11

2. Optimizing connectivity: a novel AI approach to assess transmission levels in optical networks;The Journal of Supercomputing;2024-08-28

3. Long-Short-Term QoT Prediction for Already Established Light-Path While Considering Light-Path Correlation;2023 Asia Communications and Photonics Conference/2023 International Photonics and Optoelectronics Meetings (ACP/POEM);2023-11-04

4. Uncertainty-Aware QoT Forecasting in Optical Networks with Bayesian Recurrent Neural Networks;ICC 2023 - IEEE International Conference on Communications;2023-05-28

5. LSTM Assisted Optical Transmission Performance Analysis over a 493-km Field-Trial;2023 Optical Fiber Communications Conference and Exhibition (OFC);2023-03

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