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Artigo de periodico
A physics-informed neural operator for the simulation of surface waves (2024)
Mathias, Marlon Sproesser ; Caio Fabricio Deberaldini Netto ; Moreno, Felipe Marino ; Coelho, Jefferson F. ; Freitas, Lucas P. de ; Barros, Marcel R. de ; Mello, Pedro C. de ; Dottori, Marcelo ; Cozman, Fabio Gagliardi ; Reali Costa, Anna Helena ; Nogueira Junior, Alberto C. ; Gomi, Edson Satoshi ; Tannuri, Eduardo Aoun
Source: Journal of Offshore Mechanics and Arctic Engineering (online) : seção Ocean Engineering. Unidades: EP, IO
Subjects: MÉTODOS NUMÉRICOS, REDES NEURAIS, APRENDIZADO COMPUTACIONAL, SIMULAÇÃO
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ABNT
MATHIAS, Marlon Sproesser et al. A physics-informed neural operator for the simulation of surface waves. Journal of Offshore Mechanics and Arctic Engineering (online) : seção Ocean Engineering, v. 146, n. 6, p. 1-10, 2024Tradução . . Disponível em: https://doi.org/10.1115/1.4064676. Acesso em: 26 jan. 2026.
APA
Mathias, M. S., Caio Fabricio Deberaldini Netto,, Moreno, F. M., Coelho, J. F., Freitas, L. P. de, Barros, M. R. de, et al. (2024). A physics-informed neural operator for the simulation of surface waves. Journal of Offshore Mechanics and Arctic Engineering (online) : seção Ocean Engineering, 146( 6), 1-10. doi:10.1115/1.4064676
NLM
Mathias MS, Caio Fabricio Deberaldini Netto, Moreno FM, Coelho JF, Freitas LP de, Barros MR de, Mello PC de, Dottori M, Cozman FG, Reali Costa AH, Nogueira Junior AC, Gomi ES, Tannuri EA. A physics-informed neural operator for the simulation of surface waves [Internet]. Journal of Offshore Mechanics and Arctic Engineering (online) : seção Ocean Engineering. 2024 ; 146( 6): 1-10.[citado 2026 jan. 26 ] Available from: https://doi.org/10.1115/1.4064676
Vancouver
Mathias MS, Caio Fabricio Deberaldini Netto, Moreno FM, Coelho JF, Freitas LP de, Barros MR de, Mello PC de, Dottori M, Cozman FG, Reali Costa AH, Nogueira Junior AC, Gomi ES, Tannuri EA. A physics-informed neural operator for the simulation of surface waves [Internet]. Journal of Offshore Mechanics and Arctic Engineering (online) : seção Ocean Engineering. 2024 ; 146( 6): 1-10.[citado 2026 jan. 26 ] Available from: https://doi.org/10.1115/1.4064676
Trabalho de evento-anais periodico
Early detection of extreme storm tide events using multimodal data processing (2024)
Barros, Marcel Rodrigues de; Pinto, Andressa P; Monroy, Andres; Moreno, Felipe Marino ; Jesus, Jefferson Fialho Coelho de; Silva, Aldomar Pietro Santana; Deberaldini Netto, Caio Fabrício; Leite, José Roberto; Mathias, Marlon Sproesser ; Tannuri, Eduardo Aoun ; Correia, Artur Jordão Lima ; Gomi, Edson Satoshi ; Cozman, Fabio Gagliardi ; Dottori, Marcelo ; Reali Costa, Anna Helena
Source: Proceedings of the AAAI Conference on Artificial Intelligence. Conference titles: Annual AAAI Conference on Artificial Intelligence - AAAI 2024. Unidades: EP, IO, EACH, IEA
Subjects: MUDANÇA CLIMÁTICA, INUNDAÇÕES, NÍVEL DO MAR, REDES NEURAIS
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ABNT
BARROS, Marcel Rodrigues de et al. Early detection of extreme storm tide events using multimodal data processing. Proceedings of the AAAI Conference on Artificial Intelligence. [Palo Alto, Calif.]: Association for the Advancement of Artificial Intelligence. Disponível em: http://doi.org/10.1609/aaai.v38i20.30194. Acesso em: 26 jan. 2026. , 2024
APA
Barros, M. R. de, Pinto, A. P., Monroy, A., Moreno, F. M., Jesus, J. F. C. de, Silva, A. P. S., et al. (2024). Early detection of extreme storm tide events using multimodal data processing. Proceedings of the AAAI Conference on Artificial Intelligence. [Palo Alto, Calif.]: Association for the Advancement of Artificial Intelligence. doi:10.1609/aaai.v38i20.30194
NLM
Barros MR de, Pinto AP, Monroy A, Moreno FM, Jesus JFC de, Silva APS, Deberaldini Netto CF, Leite JR, Mathias MS, Tannuri EA, Correia AJL, Gomi ES, Cozman FG, Dottori M, Reali Costa AH. Early detection of extreme storm tide events using multimodal data processing [Internet]. Proceedings of the AAAI Conference on Artificial Intelligence. 2024 ;38( 20): 21923-21931.[citado 2026 jan. 26 ] Available from: http://doi.org/10.1609/aaai.v38i20.30194
Vancouver
Barros MR de, Pinto AP, Monroy A, Moreno FM, Jesus JFC de, Silva APS, Deberaldini Netto CF, Leite JR, Mathias MS, Tannuri EA, Correia AJL, Gomi ES, Cozman FG, Dottori M, Reali Costa AH. Early detection of extreme storm tide events using multimodal data processing [Internet]. Proceedings of the AAAI Conference on Artificial Intelligence. 2024 ;38( 20): 21923-21931.[citado 2026 jan. 26 ] Available from: http://doi.org/10.1609/aaai.v38i20.30194
Dissertação (Mestrado)
Physics-informed graph representation learning for ocean dynamics (2023)
Netto, Caio Fabricio Deberaldini; Cozman, Fabio Gagliardi (Orientador)
Unidade: EP
Subjects: INTELIGÊNCIA ARTIFICIAL, REDES NEURAIS, PREDIÇÃO, SISTEMAS DINÂMICOS
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ABNT
NETTO, Caio Fabricio Deberaldini. Physics-informed graph representation learning for ocean dynamics. 2023. Dissertação (Mestrado) – Universidade de São Paulo, São Paulo, 2023. Disponível em: https://www.teses.usp.br/teses/disponiveis/3/3141/tde-03012024-120505/pt-br.php. Acesso em: 26 jan. 2026.
APA
Netto, C. F. D. (2023). Physics-informed graph representation learning for ocean dynamics (Dissertação (Mestrado). Universidade de São Paulo, São Paulo. Recuperado de https://www.teses.usp.br/teses/disponiveis/3/3141/tde-03012024-120505/pt-br.php
NLM
Netto CFD. Physics-informed graph representation learning for ocean dynamics [Internet]. 2023 ;[citado 2026 jan. 26 ] Available from: https://www.teses.usp.br/teses/disponiveis/3/3141/tde-03012024-120505/pt-br.php
Vancouver
Netto CFD. Physics-informed graph representation learning for ocean dynamics [Internet]. 2023 ;[citado 2026 jan. 26 ] Available from: https://www.teses.usp.br/teses/disponiveis/3/3141/tde-03012024-120505/pt-br.php
Trabalho de evento-anais periodico
Augmenting a physics-informed neural network for the 2D burgers equation by addition of solution data points (2022)
Mathias, Marlon Sproesser ; Almeida,Wesley P de; Coelho, Jefferson F; Freitas, Lucas P. de ; Moreno, Felipe Marino ; Netto, Caio Fabricio Deberaldini; Cozman, Fabio Gagliardi ; Reali Costa, Anna Helena ; Tannuri, Eduardo Aoun ; Gomi, Edson Satoshi ; Dottori, Marcelo
Source: Lecture Notes in Artificial Intelligence. Conference titles: Brazilian Conference on Intelligent Systems - BRACIS 2022: Proceedings, Part II. Unidades: EP, IO, IEA, IB
Subjects: REDES NEURAIS, EQUAÇÕES DIFERENCIAIS DA FÍSICA
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ABNT
MATHIAS, Marlon Sproesser et al. Augmenting a physics-informed neural network for the 2D burgers equation by addition of solution data points. Lecture Notes in Artificial Intelligence. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-031-21689-3_28. Acesso em: 26 jan. 2026. , 2022
APA
Mathias, M. S., Almeida, W. P. de, Coelho, J. F., Freitas, L. P. de, Moreno, F. M., Netto, C. F. D., et al. (2022). Augmenting a physics-informed neural network for the 2D burgers equation by addition of solution data points. Lecture Notes in Artificial Intelligence. Cham: Springer. doi:10.1007/978-3-031-21689-3_28
NLM
Mathias MS, Almeida WP de, Coelho JF, Freitas LP de, Moreno FM, Netto CFD, Cozman FG, Reali Costa AH, Tannuri EA, Gomi ES, Dottori M. Augmenting a physics-informed neural network for the 2D burgers equation by addition of solution data points [Internet]. Lecture Notes in Artificial Intelligence. 2022 ; 13654 388-401.[citado 2026 jan. 26 ] Available from: https://doi.org/10.1007/978-3-031-21689-3_28
Vancouver
Mathias MS, Almeida WP de, Coelho JF, Freitas LP de, Moreno FM, Netto CFD, Cozman FG, Reali Costa AH, Tannuri EA, Gomi ES, Dottori M. Augmenting a physics-informed neural network for the 2D burgers equation by addition of solution data points [Internet]. Lecture Notes in Artificial Intelligence. 2022 ; 13654 388-401.[citado 2026 jan. 26 ] Available from: https://doi.org/10.1007/978-3-031-21689-3_28
Trabalho de evento
A physics-informed neural network to model port channels (2022)
Mathias, Marlon Sproesser ; Barros, Marcel Rodrigues de ; Coelho, Jefferson F. ; Freitas, Lucas P. de ; Moreno, Felipe Marino ; Netto, Caio Fabricio Deberaldini; Cozman, Fabio Gagliardi ; Reali Costa, Anna Helena ; Tannuri, Eduardo Aoun ; Gomi, Edson Satoshi ; Dottori, Marcelo
Source: [Proceedings]. Conference titles: Workshop AI: Modeling Oceans and Climate Change - AIMOCC 2022. Unidades: EP, IO, IEA
Subjects: EQUAÇÕES DE NAVIER-STOKES, ESTUÁRIOS, REDES NEURAIS
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ABNT
MATHIAS, Marlon Sproesser et al. A physics-informed neural network to model port channels. 2022, Anais.. Vienna: [s.n.], 2022. Disponível em: https://doi.org/10.48550/arXiv.2212.10681. Acesso em: 26 jan. 2026.
APA
Mathias, M. S., Barros, M. R. de, Coelho, J. F., Freitas, L. P. de, Moreno, F. M., Netto, C. F. D., et al. (2022). A physics-informed neural network to model port channels. In [Proceedings]. Vienna: [s.n.]. doi:10.48550/arXiv.2212.10681
NLM
Mathias MS, Barros MR de, Coelho JF, Freitas LP de, Moreno FM, Netto CFD, Cozman FG, Reali Costa AH, Tannuri EA, Gomi ES, Dottori M. A physics-informed neural network to model port channels [Internet]. [Proceedings]. 2022 ;[citado 2026 jan. 26 ] Available from: https://doi.org/10.48550/arXiv.2212.10681
Vancouver
Mathias MS, Barros MR de, Coelho JF, Freitas LP de, Moreno FM, Netto CFD, Cozman FG, Reali Costa AH, Tannuri EA, Gomi ES, Dottori M. A physics-informed neural network to model port channels [Internet]. [Proceedings]. 2022 ;[citado 2026 jan. 26 ] Available from: https://doi.org/10.48550/arXiv.2212.10681
Trabalho de evento
Prediction of environmental conditions for maritime navigation using a network of sensors: a practical application of graph neural networks (2020)
Deberaldini Netto, Caio Fabrício; Tannuri, Eduardo Aoun ; Mauá, Denis Deratani ; Cozman, Fabio Gagliardi
Source: Proceedings. Conference titles: Symposium on Knowledge Discovery, Mining and Learning - KDMiLe. Unidades: EP, IME
Subjects: REDES NEURAIS, ANÁLISE DE SÉRIES TEMPORAIS
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ABNT
DEBERALDINI NETTO, Caio Fabrício et al. Prediction of environmental conditions for maritime navigation using a network of sensors: a practical application of graph neural networks. 2020, Anais.. Porto Alegre: SBC, 2020. Disponível em: https://doi.org/10.5753/kdmile.2020.11981. Acesso em: 26 jan. 2026.
APA
Deberaldini Netto, C. F., Tannuri, E. A., Mauá, D. D., & Cozman, F. G. (2020). Prediction of environmental conditions for maritime navigation using a network of sensors: a practical application of graph neural networks. In Proceedings. Porto Alegre: SBC. doi:10.5753/kdmile.2020.11981
NLM
Deberaldini Netto CF, Tannuri EA, Mauá DD, Cozman FG. Prediction of environmental conditions for maritime navigation using a network of sensors: a practical application of graph neural networks [Internet]. Proceedings. 2020 ;[citado 2026 jan. 26 ] Available from: https://doi.org/10.5753/kdmile.2020.11981
Vancouver
Deberaldini Netto CF, Tannuri EA, Mauá DD, Cozman FG. Prediction of environmental conditions for maritime navigation using a network of sensors: a practical application of graph neural networks [Internet]. Proceedings. 2020 ;[citado 2026 jan. 26 ] Available from: https://doi.org/10.5753/kdmile.2020.11981

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