Filtros : "IFSC223" "Singapura" Removidos: "FO-ODD" "Chile" "BUZALAF, MARILIA AFONSO RABELO" "MUNHOZ, MARCELO GAMEIRO" "Federação de Sociedades de Biologia Experimental" Limpar

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  • Source: International Journal of Bifurcation and Chaos in Applied Sciences and Engineering. Unidades: IFSC, ICMC

    Subjects: ESTATÍSTICA APLICADA, ANÁLISE DE SÉRIES TEMPORAIS, REDES COMPLEXAS

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    • ABNT

      COSTA, Luciano da Fontoura e RODRIGUES, Francisco Aparecido e VILLAS BOAS, Paulino Ribeiro. Modeling the evolution of complex networks through the path-star transformation and optimal multivariate methods. International Journal of Bifurcation and Chaos in Applied Sciences and Engineering, v. 20, n. 3, p. 795-804, 2010Tradução . . Disponível em: https://doi.org/10.1142/S0218127410026083. Acesso em: 15 nov. 2024.
    • APA

      Costa, L. da F., Rodrigues, F. A., & Villas Boas, P. R. (2010). Modeling the evolution of complex networks through the path-star transformation and optimal multivariate methods. International Journal of Bifurcation and Chaos in Applied Sciences and Engineering, 20( 3), 795-804. doi:10.1142/S0218127410026083
    • NLM

      Costa L da F, Rodrigues FA, Villas Boas PR. Modeling the evolution of complex networks through the path-star transformation and optimal multivariate methods [Internet]. International Journal of Bifurcation and Chaos in Applied Sciences and Engineering. 2010 ; 20( 3): 795-804.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1142/S0218127410026083
    • Vancouver

      Costa L da F, Rodrigues FA, Villas Boas PR. Modeling the evolution of complex networks through the path-star transformation and optimal multivariate methods [Internet]. International Journal of Bifurcation and Chaos in Applied Sciences and Engineering. 2010 ; 20( 3): 795-804.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1142/S0218127410026083
  • Source: International Journal of Bifurcation and Chaos in Applied Sciences and Engineering. Unidade: IFSC

    Subjects: MODELO DE ISING, CÓRTEX CEREBRAL, NEUROCIÊNCIAS (ESTUDO), REDES COMPLEXAS

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    • ABNT

      SILVA, Renato Aparecido Pimentel e COSTA, Luciano da Fontoura. The effect of cortico-thalamic connections on the diversity of cortical activations as modeled by the ising model. International Journal of Bifurcation and Chaos in Applied Sciences and Engineering, v. 20, n. 5, p. 1321-1334, 2010Tradução . . Disponível em: https://doi.org/10.1142/S0218127410026502. Acesso em: 15 nov. 2024.
    • APA

      Silva, R. A. P., & Costa, L. da F. (2010). The effect of cortico-thalamic connections on the diversity of cortical activations as modeled by the ising model. International Journal of Bifurcation and Chaos in Applied Sciences and Engineering, 20( 5), 1321-1334. doi:10.1142/S0218127410026502
    • NLM

      Silva RAP, Costa L da F. The effect of cortico-thalamic connections on the diversity of cortical activations as modeled by the ising model [Internet]. International Journal of Bifurcation and Chaos in Applied Sciences and Engineering. 2010 ; 20( 5): 1321-1334.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1142/S0218127410026502
    • Vancouver

      Silva RAP, Costa L da F. The effect of cortico-thalamic connections on the diversity of cortical activations as modeled by the ising model [Internet]. International Journal of Bifurcation and Chaos in Applied Sciences and Engineering. 2010 ; 20( 5): 1321-1334.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1142/S0218127410026502
  • Source: International Journal of Bifurcation and Chaos in Applied Sciences and Engineering. Unidades: ICMC, IFSC

    Subjects: FRACTAIS, INFERÊNCIA BAYESIANA, ESTATÍSTICA APLICADA, ANÁLISE DE DADOS

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    • ABNT

      FLORINDO, João Batista e CASTRO, Mário de e BRUNO, Odemir Martinez. Enhancing multiscale fractal descriptors using functional data analysis. International Journal of Bifurcation and Chaos in Applied Sciences and Engineering, v. 20, n. 11, p. 3443-3460, 2010Tradução . . Disponível em: https://doi.org/10.1142/S0218127410027805. Acesso em: 15 nov. 2024.
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      Florindo, J. B., Castro, M. de, & Bruno, O. M. (2010). Enhancing multiscale fractal descriptors using functional data analysis. International Journal of Bifurcation and Chaos in Applied Sciences and Engineering, 20( 11), 3443-3460. doi:10.1142/S0218127410027805
    • NLM

      Florindo JB, Castro M de, Bruno OM. Enhancing multiscale fractal descriptors using functional data analysis [Internet]. International Journal of Bifurcation and Chaos in Applied Sciences and Engineering. 2010 ; 20( 11): 3443-3460.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1142/S0218127410027805
    • Vancouver

      Florindo JB, Castro M de, Bruno OM. Enhancing multiscale fractal descriptors using functional data analysis [Internet]. International Journal of Bifurcation and Chaos in Applied Sciences and Engineering. 2010 ; 20( 11): 3443-3460.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1142/S0218127410027805
  • Source: International Journal of Pattern Recognition and Artificial Intelligence. Unidade: IFSC

    Subjects: SISTEMAS DISTRIBUÍDOS, FRACTAIS, DIMENSÃO, WORKSTATIONS

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    • ABNT

      TORELLI, Julio Cesar et al. A high performance 3D exact euclidean distance transform algorithm for distributed computing. International Journal of Pattern Recognition and Artificial Intelligence, v. 24, n. 6, p. 897-915, 2010Tradução . . Disponível em: https://doi.org/10.1142/S0218001410008202. Acesso em: 15 nov. 2024.
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      Torelli, J. C., Fabbri, R., Travieso, G., & Bruno, O. M. (2010). A high performance 3D exact euclidean distance transform algorithm for distributed computing. International Journal of Pattern Recognition and Artificial Intelligence, 24( 6), 897-915. doi:10.1142/S0218001410008202
    • NLM

      Torelli JC, Fabbri R, Travieso G, Bruno OM. A high performance 3D exact euclidean distance transform algorithm for distributed computing [Internet]. International Journal of Pattern Recognition and Artificial Intelligence. 2010 ; 24( 6): 897-915.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1142/S0218001410008202
    • Vancouver

      Torelli JC, Fabbri R, Travieso G, Bruno OM. A high performance 3D exact euclidean distance transform algorithm for distributed computing [Internet]. International Journal of Pattern Recognition and Artificial Intelligence. 2010 ; 24( 6): 897-915.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1142/S0218001410008202
  • Source: International Journal of Modern Physics C. Unidades: FFCLRP, IFSC

    Subjects: CAOS (SISTEMAS DINÂMICOS), ATRATORES, DECRIPTOLOGIA, CRIPTOLOGIA, CIÊNCIA DA COMPUTAÇÃO

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    • ABNT

      MARCO, Anderson Gonçalves e MARTINEZ, Alexandre Souto e BRUNO, Odemir Martinez. Fast, parallel and secure cryptography algorithm using Loren'z attractor. International Journal of Modern Physics C, v. 21, n. 3, p. 365-382, 2010Tradução . . Disponível em: https://doi.org/10.1142/S0129183110015166. Acesso em: 15 nov. 2024.
    • APA

      Marco, A. G., Martinez, A. S., & Bruno, O. M. (2010). Fast, parallel and secure cryptography algorithm using Loren'z attractor. International Journal of Modern Physics C, 21( 3), 365-382. doi:10.1142/S0129183110015166
    • NLM

      Marco AG, Martinez AS, Bruno OM. Fast, parallel and secure cryptography algorithm using Loren'z attractor [Internet]. International Journal of Modern Physics C. 2010 ; 21( 3): 365-382.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1142/S0129183110015166
    • Vancouver

      Marco AG, Martinez AS, Bruno OM. Fast, parallel and secure cryptography algorithm using Loren'z attractor [Internet]. International Journal of Modern Physics C. 2010 ; 21( 3): 365-382.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1142/S0129183110015166
  • Source: International Journal of Pattern Recognition and Artificial Intelligence. Unidade: IFSC

    Subjects: PLANTAS (IDENTIFICAÇÃO), CLASSIFICAÇÃO, FRACTAIS (DIMENSÃO), TEXTURA (ANÁLISE), MODELOS (ANÁLISE)

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      BACKES, André Ricardo e CASANOVA, Dalcimar e BRUNO, Odemir Martinez. Plant leaf identification based on volumetric fractal dimension. International Journal of Pattern Recognition and Artificial Intelligence, v. 23, n. 6, p. 1145-1160, 2009Tradução . . Disponível em: https://doi.org/10.1142/S0218001409007508. Acesso em: 15 nov. 2024.
    • APA

      Backes, A. R., Casanova, D., & Bruno, O. M. (2009). Plant leaf identification based on volumetric fractal dimension. International Journal of Pattern Recognition and Artificial Intelligence, 23( 6), 1145-1160. doi:10.1142/S0218001409007508
    • NLM

      Backes AR, Casanova D, Bruno OM. Plant leaf identification based on volumetric fractal dimension [Internet]. International Journal of Pattern Recognition and Artificial Intelligence. 2009 ; 23( 6): 1145-1160.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1142/S0218001409007508
    • Vancouver

      Backes AR, Casanova D, Bruno OM. Plant leaf identification based on volumetric fractal dimension [Internet]. International Journal of Pattern Recognition and Artificial Intelligence. 2009 ; 23( 6): 1145-1160.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1142/S0218001409007508
  • Source: International Journal of Pattern Recognition and Artificial Intelligence. Unidade: IFSC

    Subjects: PROCESSAMENTO DE IMAGENS (ANÁLISE), BIOMETRIA, BOTÂNICA (CLASSIFICAÇÃO), MORFOMETRIA, DIMENSÃO, VISÃO COMPUTACIONAL

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    • ABNT

      PLOTZE, Rodrigo de Oliveira e BRUNO, Odemir Martinez. Automatic leaf structure biometry: computer vision techniques and their applications in plant taxonomy. International Journal of Pattern Recognition and Artificial Intelligence, v. 23, n. 2, p. 247-262, 2009Tradução . . Disponível em: https://doi.org/10.1142/S0218001409007156. Acesso em: 15 nov. 2024.
    • APA

      Plotze, R. de O., & Bruno, O. M. (2009). Automatic leaf structure biometry: computer vision techniques and their applications in plant taxonomy. International Journal of Pattern Recognition and Artificial Intelligence, 23( 2), 247-262. doi:10.1142/S0218001409007156
    • NLM

      Plotze R de O, Bruno OM. Automatic leaf structure biometry: computer vision techniques and their applications in plant taxonomy [Internet]. International Journal of Pattern Recognition and Artificial Intelligence. 2009 ; 23( 2): 247-262.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1142/S0218001409007156
    • Vancouver

      Plotze R de O, Bruno OM. Automatic leaf structure biometry: computer vision techniques and their applications in plant taxonomy [Internet]. International Journal of Pattern Recognition and Artificial Intelligence. 2009 ; 23( 2): 247-262.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1142/S0218001409007156

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