Llaima volcano dataset: in-depth comparison of deep artificial neural network architectures on seismic events classification (2020)
- Authors:
- Autor USP: MELLO, RODRIGO FERNANDES DE - ICMC
- Unidade: ICMC
- DOI: 10.1016/j.dib.2020.105627
- Subjects: ANÁLISE DE SÉRIES TEMPORAIS; REDES NEURAIS; VULCÕES
- Keywords: Volcano Monitoring; Time Series modelling
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: Data in Brief
- ISSN: 2352-3409
- Volume/Número/Paginação/Ano: v. 30, p. 1-6, 2020
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
CANÁRIO, João Paulo et al. Llaima volcano dataset: in-depth comparison of deep artificial neural network architectures on seismic events classification. Data in Brief, v. 30, p. 1-6, 2020Tradução . . Disponível em: https://doi.org/10.1016/j.dib.2020.105627. Acesso em: 27 jan. 2026. -
APA
Canário, J. P., Mello, R. F. de, Curilem, M., Huenupan, F., & Rios, R. A. (2020). Llaima volcano dataset: in-depth comparison of deep artificial neural network architectures on seismic events classification. Data in Brief, 30, 1-6. doi:10.1016/j.dib.2020.105627 -
NLM
Canário JP, Mello RF de, Curilem M, Huenupan F, Rios RA. Llaima volcano dataset: in-depth comparison of deep artificial neural network architectures on seismic events classification [Internet]. Data in Brief. 2020 ; 30 1-6.[citado 2026 jan. 27 ] Available from: https://doi.org/10.1016/j.dib.2020.105627 -
Vancouver
Canário JP, Mello RF de, Curilem M, Huenupan F, Rios RA. Llaima volcano dataset: in-depth comparison of deep artificial neural network architectures on seismic events classification [Internet]. Data in Brief. 2020 ; 30 1-6.[citado 2026 jan. 27 ] Available from: https://doi.org/10.1016/j.dib.2020.105627 - Improving performance of information quality applications: a scale-out approach
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Informações sobre o DOI: 10.1016/j.dib.2020.105627 (Fonte: oaDOI API)
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