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Artigo de periodico
A user-friendly interactive framework for unsteady fluid flow segmentation and visualization (2018)
Motta, Danilo; Casaca, Wallace; Pagliosa, Paulo; Paiva, Afonso
Source: Journal of Visualization. Unidade: ICMC
Subjects: COMPUTAÇÃO GRÁFICA, PROCESSAMENTO DE IMAGENS, GEOMETRIA COMPUTACIONAL, APRENDIZADO COMPUTACIONAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MOTTA, Danilo et al. A user-friendly interactive framework for unsteady fluid flow segmentation and visualization. Journal of Visualization, v. 21, n. 4, p. 625-636, 2018Tradução . . Disponível em: https://doi.org/10.1007/s12650-018-0474-6. Acesso em: 03 out. 2024.
APA
Motta, D., Casaca, W., Pagliosa, P., & Paiva, A. (2018). A user-friendly interactive framework for unsteady fluid flow segmentation and visualization. Journal of Visualization, 21( 4), 625-636. doi:10.1007/s12650-018-0474-6
NLM
Motta D, Casaca W, Pagliosa P, Paiva A. A user-friendly interactive framework for unsteady fluid flow segmentation and visualization [Internet]. Journal of Visualization. 2018 ; 21( 4): 625-636.[citado 2024 out. 03 ] Available from: https://doi.org/10.1007/s12650-018-0474-6
Vancouver
Motta D, Casaca W, Pagliosa P, Paiva A. A user-friendly interactive framework for unsteady fluid flow segmentation and visualization [Internet]. Journal of Visualization. 2018 ; 21( 4): 625-636.[citado 2024 out. 03 ] Available from: https://doi.org/10.1007/s12650-018-0474-6
Artigo de periodico
Scalable object instance recognition based on keygraph matching (2018)
Dazzi, Estephan; Campos, Teófilo de; Hilton, Adrian; César Júnior, Roberto Marcondes
Source: Pattern Recognition Letters. Unidade: IME
Subjects: INTERPOLAÇÃO, APROXIMAÇÃO POR POLINÔMIOS, GEOMETRIA COMPUTACIONAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
DAZZI, Estephan et al. Scalable object instance recognition based on keygraph matching. Pattern Recognition Letters, v. 114, p. 53-62, 2018Tradução . . Disponível em: https://doi.org/10.1016/j.patrec.2017.10.038. Acesso em: 03 out. 2024.
APA
Dazzi, E., Campos, T. de, Hilton, A., & César Júnior, R. M. (2018). Scalable object instance recognition based on keygraph matching. Pattern Recognition Letters, 114, 53-62. doi:10.1016/j.patrec.2017.10.038
NLM
Dazzi E, Campos T de, Hilton A, César Júnior RM. Scalable object instance recognition based on keygraph matching [Internet]. Pattern Recognition Letters. 2018 ; 114 53-62.[citado 2024 out. 03 ] Available from: https://doi.org/10.1016/j.patrec.2017.10.038
Vancouver
Dazzi E, Campos T de, Hilton A, César Júnior RM. Scalable object instance recognition based on keygraph matching [Internet]. Pattern Recognition Letters. 2018 ; 114 53-62.[citado 2024 out. 03 ] Available from: https://doi.org/10.1016/j.patrec.2017.10.038
Artigo de periodico
Computational geometry applied to develop new metrics of road and edge effects and their performance to understand the distribution of small mammals in an Atlantic forest landscape (2018)
Freitas, Simone R; Constantino, Everton; Alexandrino, Marcos Martins
Source: Ecological Modelling. Unidade: IME
Subjects: CÁLCULO DIFERENCIAL E INTEGRAL, GEOMETRIA COMPUTACIONAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
FREITAS, Simone R e CONSTANTINO, Everton e ALEXANDRINO, Marcos Martins. Computational geometry applied to develop new metrics of road and edge effects and their performance to understand the distribution of small mammals in an Atlantic forest landscape. Ecological Modelling, v. 388, p. 24-30, 2018Tradução . . Disponível em: https://doi.org/10.1016/j.ecolmodel.2018.08.004. Acesso em: 03 out. 2024.
APA
Freitas, S. R., Constantino, E., & Alexandrino, M. M. (2018). Computational geometry applied to develop new metrics of road and edge effects and their performance to understand the distribution of small mammals in an Atlantic forest landscape. Ecological Modelling, 388, 24-30. doi:10.1016/j.ecolmodel.2018.08.004
NLM
Freitas SR, Constantino E, Alexandrino MM. Computational geometry applied to develop new metrics of road and edge effects and their performance to understand the distribution of small mammals in an Atlantic forest landscape [Internet]. Ecological Modelling. 2018 ; 388 24-30.[citado 2024 out. 03 ] Available from: https://doi.org/10.1016/j.ecolmodel.2018.08.004
Vancouver
Freitas SR, Constantino E, Alexandrino MM. Computational geometry applied to develop new metrics of road and edge effects and their performance to understand the distribution of small mammals in an Atlantic forest landscape [Internet]. Ecological Modelling. 2018 ; 388 24-30.[citado 2024 out. 03 ] Available from: https://doi.org/10.1016/j.ecolmodel.2018.08.004
Artigo de periodico
Wavelet-based visual analysis of dynamic networks (2018)
Dal Col, Alcebíades; Valdivia, Paola; Petronetto, Fabiano; Dias, Fábio; Silva, Cláudio T; Nonato, Luis Gustavo
Source: IEEE Transactions on Visualization and Computer Graphics. Unidade: ICMC
Subjects: COMPUTAÇÃO GRÁFICA, PROCESSAMENTO DE IMAGENS, GEOMETRIA COMPUTACIONAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
DAL COL, Alcebíades et al. Wavelet-based visual analysis of dynamic networks. IEEE Transactions on Visualization and Computer Graphics, v. 24, n. 8, p. 2456-2469, 2018Tradução . . Disponível em: https://doi.org/10.1109/TVCG.2017.2746080. Acesso em: 03 out. 2024.
APA
Dal Col, A., Valdivia, P., Petronetto, F., Dias, F., Silva, C. T., & Nonato, L. G. (2018). Wavelet-based visual analysis of dynamic networks. IEEE Transactions on Visualization and Computer Graphics, 24( 8), 2456-2469. doi:10.1109/TVCG.2017.2746080
NLM
Dal Col A, Valdivia P, Petronetto F, Dias F, Silva CT, Nonato LG. Wavelet-based visual analysis of dynamic networks [Internet]. IEEE Transactions on Visualization and Computer Graphics. 2018 ; 24( 8): 2456-2469.[citado 2024 out. 03 ] Available from: https://doi.org/10.1109/TVCG.2017.2746080
Vancouver
Dal Col A, Valdivia P, Petronetto F, Dias F, Silva CT, Nonato LG. Wavelet-based visual analysis of dynamic networks [Internet]. IEEE Transactions on Visualization and Computer Graphics. 2018 ; 24( 8): 2456-2469.[citado 2024 out. 03 ] Available from: https://doi.org/10.1109/TVCG.2017.2746080
Trabalho de evento
Graph spectral filtering for network simplification (2018)
Dias, Markus Diego; Valdivia, Paola; Petronetto, Fabiano; Nonato, Luis Gustavo
Source: Proceedings. Conference titles: Conference on Graphics, Patterns and Images - SIBGRAPI. Unidade: ICMC
Subjects: VISUALIZAÇÃO, GEOMETRIA E MODELAGEM COMPUTACIONAL, GEOMETRIA COMPUTACIONAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
DIAS, Markus Diego et al. Graph spectral filtering for network simplification. 2018, Anais.. Los Alamitos: IEEE, 2018. Disponível em: https://doi.org/10.1109/SIBGRAPI.2018.00051. Acesso em: 03 out. 2024.
APA
Dias, M. D., Valdivia, P., Petronetto, F., & Nonato, L. G. (2018). Graph spectral filtering for network simplification. In Proceedings. Los Alamitos: IEEE. doi:10.1109/SIBGRAPI.2018.00051
NLM
Dias MD, Valdivia P, Petronetto F, Nonato LG. Graph spectral filtering for network simplification [Internet]. Proceedings. 2018 ;[citado 2024 out. 03 ] Available from: https://doi.org/10.1109/SIBGRAPI.2018.00051
Vancouver
Dias MD, Valdivia P, Petronetto F, Nonato LG. Graph spectral filtering for network simplification [Internet]. Proceedings. 2018 ;[citado 2024 out. 03 ] Available from: https://doi.org/10.1109/SIBGRAPI.2018.00051

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