Bisinotto, Gustavo Alencar 
; Sparano, João Vicente; Simos, Alexandre Nicolaos ; Cozman, Fabio Gagliardi ; Ferreira, Marcos Donato Auler da Silva; Tannuri, Eduardo Aoun
Source: Ocean engineering. Unidade: EP
Subjects: ENGENHARIA NAVAL E OCEÂNICA, ONDAS (OCEANOGRAFIA), REDES NEURAIS, COMPORTAMENTO DE EMBARCAÇÕES NO MAR, ESTRUTURAS OFFSHORE FLUTUANTES
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BISINOTTO, Gustavo Alencar et al. Sea state estimation based on the motion data of a moored FPSO using neural networks: an evaluation with multiple draft conditions. Ocean engineering, v. 276, p. 1-19, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.oceaneng.2023.114235. Acesso em: 16 nov. 2025.APA
Bisinotto, G. A., Sparano, J. V., Simos, A. N., Cozman, F. G., Ferreira, M. D. A. da S., & Tannuri, E. A. (2023). Sea state estimation based on the motion data of a moored FPSO using neural networks: an evaluation with multiple draft conditions. Ocean engineering, 276, 1-19. doi:10.1016/j.oceaneng.2023.114235NLM
Bisinotto GA, Sparano JV, Simos AN, Cozman FG, Ferreira MDA da S, Tannuri EA. Sea state estimation based on the motion data of a moored FPSO using neural networks: an evaluation with multiple draft conditions [Internet]. Ocean engineering. 2023 ; 276 1-19.[citado 2025 nov. 16 ] Available from: https://doi.org/10.1016/j.oceaneng.2023.114235Vancouver
Bisinotto GA, Sparano JV, Simos AN, Cozman FG, Ferreira MDA da S, Tannuri EA. Sea state estimation based on the motion data of a moored FPSO using neural networks: an evaluation with multiple draft conditions [Internet]. Ocean engineering. 2023 ; 276 1-19.[citado 2025 nov. 16 ] Available from: https://doi.org/10.1016/j.oceaneng.2023.114235
