Discriminating seismic events of the Llaima volcano (Chile) based on spectrogram cross-correlations (2018)
- Authors:
- Autor USP: MELLO, RODRIGO FERNANDES DE - ICMC
- Unidade: ICMC
- DOI: 10.1016/j.jvolgeores.2018.10.023
- Subjects: VULCÕES; ONDAS SÍSMICAS; APRENDIZADO COMPUTACIONAL; RECONHECIMENTO DE PADRÕES
- Keywords: Seismic spectrograms; Volcano-seismic events processing
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título do periódico: Journal of Volcanology and Geothermal Research
- ISSN: 0377-0273
- Volume/Número/Paginação/Ano: v. 367, p. 63-78, Nov. 2018
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
CURILEM, Millaray et al. Discriminating seismic events of the Llaima volcano (Chile) based on spectrogram cross-correlations. Journal of Volcanology and Geothermal Research, v. No 2018, p. 63-78, 2018Tradução . . Disponível em: https://doi.org/10.1016/j.jvolgeores.2018.10.023. Acesso em: 24 maio 2024. -
APA
Curilem, M., Mello, R. F. de, Huenupan, F., San Martin, C., Franco, L., Hernández, E., & Rios, R. A. (2018). Discriminating seismic events of the Llaima volcano (Chile) based on spectrogram cross-correlations. Journal of Volcanology and Geothermal Research, No 2018, 63-78. doi:10.1016/j.jvolgeores.2018.10.023 -
NLM
Curilem M, Mello RF de, Huenupan F, San Martin C, Franco L, Hernández E, Rios RA. Discriminating seismic events of the Llaima volcano (Chile) based on spectrogram cross-correlations [Internet]. Journal of Volcanology and Geothermal Research. 2018 ; No 2018 63-78.[citado 2024 maio 24 ] Available from: https://doi.org/10.1016/j.jvolgeores.2018.10.023 -
Vancouver
Curilem M, Mello RF de, Huenupan F, San Martin C, Franco L, Hernández E, Rios RA. Discriminating seismic events of the Llaima volcano (Chile) based on spectrogram cross-correlations [Internet]. Journal of Volcanology and Geothermal Research. 2018 ; No 2018 63-78.[citado 2024 maio 24 ] Available from: https://doi.org/10.1016/j.jvolgeores.2018.10.023 - Caracterização de comportamento de sistemas por meio de agrupamento de dados e detecção de novidades
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Informações sobre o DOI: 10.1016/j.jvolgeores.2018.10.023 (Fonte: oaDOI API)
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