Campos, Edmo José Dias 
; Rocha, César Barbedo ; Goes, Marlos ; Dong, Shenfu ; Lopez, Hosmay ; Goni, Gustavo
Source: Applied Ocean Research (print). Unidade: IO
Assunto: SALINIDADE DO MAR
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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: 10 out. 2024.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.2024.103997NLM
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 2024 out. 10 ] Available from: https://doi.org/10.1016/j.apor.2024.103997Vancouver
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 2024 out. 10 ] Available from: https://doi.org/10.1016/j.apor.2024.103997
