Earthquake source characterization by machine learning algorithms applied to acoustic signals

Abstract Underwater seismic events generate acoustic radiation (such as acoustic-gravity waves), that carries information about the source and can travel long distances before dissipating. Effective early warning, emergency response, and information dissemination for earthquakes and tsunamis require...

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Autores principales: Bernabe Gomez, Usama Kadri
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/d8cd87fd4ff14799aee525815a78f39b
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