Machine-Learning-Assisted Failure Prediction in Microwave Networks based on Equipment Alarms
Author:
Affiliation:
1. Politecnico di Milano,Milan,Italy
2. Scuola Universitaria Professionale della Svizzera Italiana,Lugano,Switzerland
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10108077/10108104/10108226.pdf?arnumber=10108226
Reference13 articles.
1. Supervised and Semi-Supervised Learning for Failure Identification in Microwave Networks
2. On Real-Time and Self-Taught Anomaly Detection in Optical Networks Using Hybrid Unsupervised/Supervised Learning
3. Proactive microwave link anomaly detection in cellular data networks
4. Machine-learning based approaches for anomaly detection and classification in cellular networks;Casas;TMA,2016
5. Microwave Link Failures Prediction via LSTM-based Feature Fusion Network
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