Optical Network Alarms Classification using Unsupervised Machine Learning
Author:
Affiliation:
1. Scuola Superiore Sant’ Anna,Pisa,Italy,56124
2. Orange Labs,Lannion,France,22300
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9849706/9849712/09849872.pdf?arnumber=9849872
Reference5 articles.
1. On Cooperative Fault Management in Multi-Domain Optical Networks Using Hybrid Learning
2. Supervised and Semi-Supervised Learning for Failure Identification in Microwave Networks
3. Autoencoders, unsupervised learning, and deep architectures;baldi;Proceedings of ICML Workshop on Unsupervised and Transfer Learning,0
4. Alarm classification prediction based on cross-layer artificial intelligence interaction in self-optimized optical networks (SOON)
5. An Overview on Application of Machine Learning Techniques in Optical Networks
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1. Model and data-centric machine learning algorithms to address data scarcity for failure identification;Journal of Optical Communications and Networking;2024-02-26
2. Classification of Optical Transmission Anomalies with Convolutional Neural Networks and 2D Histograms;2023 IEEE International Mediterranean Conference on Communications and Networking (MeditCom);2023-09-04
3. Data augmentation to improve performance of neural networks for failure management in optical networks;Journal of Optical Communications and Networking;2022-12-23
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