Blockly earthquake transformer: A deep learning platform for custom phase picking

Deep-learning (DL) algorithms are increasingly used for routine seismic data processing tasks, including seismic event detection and phase arrival picking. Despite many examples of the remarkable performance of existing (i.e., pre-trained) deep-learning detector/picker models, there are still some c...

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Detalles Bibliográficos

Autores principales:	Hao Mai, Pascal Audet, H.K. Claire Perry, S. Mostafa Mousavi, Quan Zhang
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	KeAi Communications Co. Ltd. 2023-12-01
Colección:	Artificial Intelligence in Geosciences
Materias:	Earthquake detection Seismic phase identification Deep learning Seismology
Acceso en línea:	http://www.sciencedirect.com/science/article/pii/S2666544123000230
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