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In recent years, artificial neural networks (ANNs) have been increasingly used to enhance the performance of optical fiber sensors for the distributed measurement of strain and temperature. This paper reviews ANN-based approaches for improved and accelerated raw data processing, denoising, as well as higher-level tasks such as event recognition and classification.
© 2021 The Author(s)
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