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Optical Network Diagnostics Using Graph Neural Networks and Natural Language Processing

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Abstract

We propose an AI-powered network diagnostic strategy including alarm clustering and fault localization with >98% accuracy for up-to 16-degree ROADMs and demonstrate the advantages of using NLP in encoding.

© 2023 The Author(s)

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