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Customization of a deep neural network using local data for seismic phase picking

Deep-learning (DL) pickers have demonstrated superior performance in seismic phase picking compared to traditional pickers. DL pickers are extremely effective in processing large amounts of seismic data. Nevertheless, they encounter challenges when handling seismograms from different tectonic enviro...

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Bibliografiske detaljer
Principais autores: Yoontaek Hong, Ah-Hyun Byun, Seongryong Kim, Dong-Hoon Sheen
Format: Artigo
Sprog:Inglês
Udgivet: Frontiers Media S.A. 2023-12-01
Serier:Frontiers in Earth Science
Fag:
Online adgang:https://www.frontiersin.org/articles/10.3389/feart.2023.1306488/full
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