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Clustering earthquake signals and background noises in continuous seismic data with unsupervised deep learning

The continuously growing amount of seismic data collected worldwide is outpacing our abilities for analysis, since to date, such datasets have been analyzed in a human-expert-intensive, supervised fashion. Moreover, analyses that are conducted can be strongly biased by the standard models employed b...

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Detalhes bibliográficos
Publicado no:Nat Commun
Main Authors: Seydoux, Léonard, Balestriero, Randall, Poli, Piero, Hoop, Maarten de, Campillo, Michel, Baraniuk, Richard
Formato: Artigo
Idioma:Inglês
Publicado em: Nature Publishing Group UK 2020
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7414231/
https://ncbi.nlm.nih.gov/pubmed/32769972
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41467-020-17841-x
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