Early forecasting of tsunami inundation from tsunami and geodetic observation data with convolutional neural networks

Rapid and accurate hazard prediction is important for prompt evacuation and casualty reduction during natural disasters. Here, the authors present an AI-enabled tsunami forecasting approach, which provided rapid and accurate early warnings.

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Autores principales: Fumiyasu Makinoshima, Yusuke Oishi, Takashi Yamazaki, Takashi Furumura, Fumihiko Imamura
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/b2dbf73069984e17b4e1bde9bf7038c0
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