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Machine learning for strain, temperature and humidity discrimination in Brillouin optical frequency domain analysis

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Abstract

We propose to our knowledge for the first time an ensemble of probabilistic machine learning models for strain, temperature and humidity discrimination in Brillouin optical frequency domain analysis (BOFDA) applying a two-fiber configuration.

© 2023 The Author(s)

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