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Classifying space-time images obtained from distributed acoustic sensing

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Abstract

In this paper we present a classifier that was trained on space-time images obtained from distributed acoustic sensing, for the purpose of monitoring earthquakes. The model is capable of discriminating between actual and non-earthquake events.

© 2023 The Author(s)

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