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20182023
most citedMachine Learning-based Anomaly Detection in Optical Fiber Monitoring

135 citations · 608 across the 39 of their papers we have counts for

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5 papers · 1 filter

cs.LG2023★ 1 cited

Fault Monitoring in Passive Optical Networks using Machine Learning Techniques

Khouloud Abdelli, Carsten Tropschug, Helmut Griesser +1

Passive optical network (PON) systems are vulnerable to a variety of failures, including fiber cuts and optical network unit (ONU) transmitter/receiver failures. Any service interr…

cs.LG2023★ 23 cited

Faulty Branch Identification in Passive Optical Networks using Machine Learning

Khouloud Abdelli, Carsten Tropschug, Helmut Griesser +1

Passive optical networks (PONs) have become a promising broadband access network solution. To ensure a reliable transmission, and to meet service level agreements, PON systems have…

cs.LG2023

Branch Identification in Passive Optical Networks using Machine Learning

khouloud Abdelli, Carsten Tropschug, Helmut Griesser +2

A machine learning approach for improving monitoring in passive optical networks with almost equidistant branches is proposed and experimentally validated. It achieves a high diagn…

cs.LG2022★ 11 cited

Degradation Prediction of Semiconductor Lasers using Conditional Variational Autoencoder

Khouloud Abdelli, Helmut Griesser, Christian Neumeyr +2

Semiconductor lasers have been rapidly evolving to meet the demands of next-generation optical networks. This imposes much more stringent requirements on the laser reliability, whi…

cs.LG2022★ 25 cited

A Machine Learning-based Framework for Predictive Maintenance of Semiconductor Laser for Optical Communication

Khouloud Abdelli, Helmut Griesser, Stephan Pachnicke

Semiconductor lasers, one of the key components for optical communication systems, have been rapidly evolving to meet the requirements of next generation optical networks with resp…