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Artigo de periodico
Remotely operated vehicle taxonomy and emerging methods of inspection, maintenance and repair operations: an overview and outlook (2023)
Dalhatu, Abdullahi Abba ; Saad, Amir Muhammed ; Azevedo, Ricardo Cabral de ; De Tomi, Giorgio Francesco Cesare
Source: Journal of offshore mechanics and arctic engineering-transactions of the ASME. Unidade: EP
Assunto: VEÍCULOS GUIADOS REMOTAMENTE
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
DALHATU, Abdullahi Abba et al. Remotely operated vehicle taxonomy and emerging methods of inspection, maintenance and repair operations: an overview and outlook. Journal of offshore mechanics and arctic engineering-transactions of the ASME, v. 145, n. 2 , p. 1-15, 2023Tradução . . Disponível em: https://doi.org/10.1115/1.4055476. Acesso em: 25 nov. 2025.
APA
Dalhatu, A. A., Saad, A. M., Azevedo, R. C. de, & De Tomi, G. F. C. (2023). Remotely operated vehicle taxonomy and emerging methods of inspection, maintenance and repair operations: an overview and outlook. Journal of offshore mechanics and arctic engineering-transactions of the ASME, 145( 2 ), 1-15. doi:10.1115/1.4055476
NLM
Dalhatu AA, Saad AM, Azevedo RC de, De Tomi GFC. Remotely operated vehicle taxonomy and emerging methods of inspection, maintenance and repair operations: an overview and outlook [Internet]. Journal of offshore mechanics and arctic engineering-transactions of the ASME. 2023 ;145( 2 ): 1-15.[citado 2025 nov. 25 ] Available from: https://doi.org/10.1115/1.4055476
Vancouver
Dalhatu AA, Saad AM, Azevedo RC de, De Tomi GFC. Remotely operated vehicle taxonomy and emerging methods of inspection, maintenance and repair operations: an overview and outlook [Internet]. Journal of offshore mechanics and arctic engineering-transactions of the ASME. 2023 ;145( 2 ): 1-15.[citado 2025 nov. 25 ] Available from: https://doi.org/10.1115/1.4055476
Tese (Doutorado)
NEMO: a neural motion estimator for mooring line failure detection of offshore platforms. (2023)
Sa'ad, Amir Muhammed ; Reali Costa, Anna Helena (Orientador)
Unidade: EP
Subjects: APRENDIZADO COMPUTACIONAL, REDES NEURAIS, ESTRUTURAS OFFSHORE
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SA'AD, Amir Muhammed. NEMO: a neural motion estimator for mooring line failure detection of offshore platforms. 2023. Tese (Doutorado) – Universidade de São Paulo, São Paulo, 2023. Disponível em: https://www.teses.usp.br/teses/disponiveis/3/3141/tde-27042023-080040/. Acesso em: 25 nov. 2025.
APA
Sa'ad, A. M. (2023). NEMO: a neural motion estimator for mooring line failure detection of offshore platforms. (Tese (Doutorado). Universidade de São Paulo, São Paulo. Recuperado de https://www.teses.usp.br/teses/disponiveis/3/3141/tde-27042023-080040/
NLM
Sa'ad AM. NEMO: a neural motion estimator for mooring line failure detection of offshore platforms. [Internet]. 2023 ;[citado 2025 nov. 25 ] Available from: https://www.teses.usp.br/teses/disponiveis/3/3141/tde-27042023-080040/
Vancouver
Sa'ad AM. NEMO: a neural motion estimator for mooring line failure detection of offshore platforms. [Internet]. 2023 ;[citado 2025 nov. 25 ] Available from: https://www.teses.usp.br/teses/disponiveis/3/3141/tde-27042023-080040/
Artigo de periodico
State estimation of gas-lifted oil well using nonlinear filters (2022)
Adukwu, Ojonugwa; Odloak, Darci ; Saad, Amir Muhammed ; Kassab Junior, Fuad
Source: Sensors. Unidade: EP
Subjects: SENSOR, SISTEMAS NÃO LINEARES, FILTROS DE KALMAN
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ADUKWU, Ojonugwa et al. State estimation of gas-lifted oil well using nonlinear filters. Sensors, v. 22, n. 13, p. 1-16, 2022Tradução . . Disponível em: https://doi.org/10.3390/s22134875. Acesso em: 25 nov. 2025.
APA
Adukwu, O., Odloak, D., Saad, A. M., & Kassab Junior, F. (2022). State estimation of gas-lifted oil well using nonlinear filters. Sensors, 22( 13), 1-16. doi:10.3390/s22134875
NLM
Adukwu O, Odloak D, Saad AM, Kassab Junior F. State estimation of gas-lifted oil well using nonlinear filters [Internet]. Sensors. 2022 ; 22( 13): 1-16.[citado 2025 nov. 25 ] Available from: https://doi.org/10.3390/s22134875
Vancouver
Adukwu O, Odloak D, Saad AM, Kassab Junior F. State estimation of gas-lifted oil well using nonlinear filters [Internet]. Sensors. 2022 ; 22( 13): 1-16.[citado 2025 nov. 25 ] Available from: https://doi.org/10.3390/s22134875
Artigo de periodico
Using neural network approaches to detect mooring line failure (2021)
Saad, Amir Muhammed ; Schopp, Florian ; Barreira, Rodrigo Augusto ; Santos, Ismael Humberto Ferreira dos; Tannuri, Eduardo Aoun ; Gomi, Edson Satoshi ; Reali Costa, Anna Helena
Source: IEEE Access. Unidade: EP
Subjects: REDES NEURAIS, APRENDIZADO COMPUTACIONAL, AMARRAÇÃO, CABOS DE AMARRAÇÃO, ESTRUTURAS FLUTUANTES
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SAAD, Amir Muhammed et al. Using neural network approaches to detect mooring line failure. IEEE Access, v. fe 2021, p. 27678-27695, 2021Tradução . . Disponível em: https://doi.org/10.1109/ACCESS.2021.3058592. Acesso em: 25 nov. 2025.
APA
Saad, A. M., Schopp, F., Barreira, R. A., Santos, I. H. F. dos, Tannuri, E. A., Gomi, E. S., & Reali Costa, A. H. (2021). Using neural network approaches to detect mooring line failure. IEEE Access, fe 2021, 27678-27695. doi:10.1109/ACCESS.2021.3058592
NLM
Saad AM, Schopp F, Barreira RA, Santos IHF dos, Tannuri EA, Gomi ES, Reali Costa AH. Using neural network approaches to detect mooring line failure [Internet]. IEEE Access. 2021 ; fe 2021 27678-27695.[citado 2025 nov. 25 ] Available from: https://doi.org/10.1109/ACCESS.2021.3058592
Vancouver
Saad AM, Schopp F, Barreira RA, Santos IHF dos, Tannuri EA, Gomi ES, Reali Costa AH. Using neural network approaches to detect mooring line failure [Internet]. IEEE Access. 2021 ; fe 2021 27678-27695.[citado 2025 nov. 25 ] Available from: https://doi.org/10.1109/ACCESS.2021.3058592

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