DeepALM: Holistic Optical Network Monitoring based on Machine Learning

03/25/2022

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We demonstrate a machine learning-based optical network monitoring system which can integrate fiber monitoring, predictive maintenance of optical hardware, and security information management in a single solution.

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DeepALM: Holistic Optical Network Monitoring based on Machine Learning

Branch Identification in Passive Optical Networks using Machine Learning

Optical Network Virtualisation using Multi-technology Monitoring and SDN-enabled Optical Transceiver

z-TORCH: An Automated NFV Orchestration and Monitoring Solution

Application of Machine Learning in Fiber Nonlinearity Modeling and Monitoring for Elastic Optical Networks

Forecasting Loss of Signal in Optical Networks with Machine Learning

Internet Photonic Sensing: Using Internet Fiber Optics for Vibration Measurement and Monitoring

Depth Reconstruction and Computer-Aided Polyp Detection in Optical Colonoscopy Video Frames

DeepALM: Holistic Optical Network Monitoring based on Machine Learning

Related Research

Branch Identification in Passive Optical Networks using Machine Learning

Optical Network Virtualisation using Multi-technology Monitoring and SDN-enabled Optical Transceiver

z-TORCH: An Automated NFV Orchestration and Monitoring Solution

Application of Machine Learning in Fiber Nonlinearity Modeling and Monitoring for Elastic Optical Networks

Forecasting Loss of Signal in Optical Networks with Machine Learning

Internet Photonic Sensing: Using Internet Fiber Optics for Vibration Measurement and Monitoring

Depth Reconstruction and Computer-Aided Polyp Detection in Optical Colonoscopy Video Frames