A deep learning approach to estimate ocean salinity with data sampled with expendable bathythermographs (2024)
- Authors:
- USP affiliated authors: CAMPOS, EDMO JOSE DIAS - IO ; ROCHA, CESAR BARBEDO - IO
- Unidade: IO
- DOI: 10.1016/j.apor.2024.103997
- Assunto: SALINIDADE DO MAR
- Keywords: XBT; Salinidade; Rede neural; Aprendizado de máquina; Aprendizado profundo
- Language: Inglês
- Imprenta:
- Source:
- Título: Applied Ocean Research (print)
- ISSN: 0141-1187
- Volume/Número/Paginação/Ano: v. 148, artigo 103997 , 2024
- Este periódico é de assinatura
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: green
- Licença: cc-by
-
ABNT
CAMPOS, Edmo José Dias et al. A deep learning approach to estimate ocean salinity with data sampled with expendable bathythermographs. Applied Ocean Research (print), v. 148, 2024Tradução . . Disponível em: https://doi.org/10.1016/j.apor.2024.103997. Acesso em: 29 dez. 2025. -
APA
Campos, E. J. D., Rocha, C. B., Goes, M., Dong, S., Lopez, H., & Goni, G. (2024). A deep learning approach to estimate ocean salinity with data sampled with expendable bathythermographs. Applied Ocean Research (print), 148. doi:10.1016/j.apor.2024.103997 -
NLM
Campos EJD, Rocha CB, Goes M, Dong S, Lopez H, Goni G. A deep learning approach to estimate ocean salinity with data sampled with expendable bathythermographs [Internet]. Applied Ocean Research (print). 2024 ; 148[citado 2025 dez. 29 ] Available from: https://doi.org/10.1016/j.apor.2024.103997 -
Vancouver
Campos EJD, Rocha CB, Goes M, Dong S, Lopez H, Goni G. A deep learning approach to estimate ocean salinity with data sampled with expendable bathythermographs [Internet]. Applied Ocean Research (print). 2024 ; 148[citado 2025 dez. 29 ] Available from: https://doi.org/10.1016/j.apor.2024.103997 - Nitrogen Biogeochemistry of Adjacent Mesoscale Eddies in the North Pacific Subtropical Gyre
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Informações sobre o DOI: 10.1016/j.apor.2024.103997 (Fonte: oaDOI API)
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