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Artigo de periodico
Modeling the evolution of complex networks through the path-star transformation and optimal multivariate methods (2010)
Costa, Luciano da Fontoura ; Rodrigues, Francisco Aparecido ; Villas Boas, Paulino Ribeiro
Source: International Journal of Bifurcation and Chaos in Applied Sciences and Engineering. Unidades: IFSC, ICMC
Subjects: ESTATÍSTICA APLICADA, ANÁLISE DE SÉRIES TEMPORAIS, REDES COMPLEXAS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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: 16 jul. 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 jul. 16 ] 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 jul. 16 ] Available from: https://doi.org/10.1142/S0218127410026083
Artigo de periodico
The effect of cortico-thalamic connections on the diversity of cortical activations as modeled by the ising model (2010)
Silva, Renato Aparecido Pimentel; Costa, Luciano da Fontoura
Source: International Journal of Bifurcation and Chaos in Applied Sciences and Engineering. Unidade: IFSC
Subjects: MODELO DE ISING, CÓRTEX CEREBRAL, NEUROCIÊNCIAS (ESTUDO), REDES COMPLEXAS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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: 16 jul. 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 jul. 16 ] 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 jul. 16 ] Available from: https://doi.org/10.1142/S0218127410026502
Artigo de periodico
Enhancing multiscale fractal descriptors using functional data analysis (2010)
Florindo, João Batista; Castro, Mário de ; Bruno, Odemir Martinez
Source: International Journal of Bifurcation and Chaos in Applied Sciences and Engineering. Unidades: ICMC, IFSC
Subjects: FRACTAIS, INFERÊNCIA BAYESIANA, ESTATÍSTICA APLICADA, ANÁLISE DE DADOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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: 16 jul. 2024.
APA
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 jul. 16 ] 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 jul. 16 ] Available from: https://doi.org/10.1142/S0218127410027805
Artigo de periodico
Fast, parallel and secure cryptography algorithm using Loren'z attractor (2010)
Marco, Anderson Gonçalves; Martinez, Alexandre Souto; Bruno, Odemir Martinez
Source: International Journal of Modern Physics C. Unidades: FFCLRP, IFSC
Subjects: CAOS (SISTEMAS DINÂMICOS), ATRATORES, DECRIPTOLOGIA, CRIPTOLOGIA, CIÊNCIA DA COMPUTAÇÃO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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: 16 jul. 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 jul. 16 ] 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 jul. 16 ] Available from: https://doi.org/10.1142/S0129183110015166
Artigo de periodico
A high performance 3D exact euclidean distance transform algorithm for distributed computing (2010)
Torelli, Julio Cesar; Fabbri, Ricardo; Travieso, Gonzalo; Bruno, Odemir Martinez
Source: International Journal of Pattern Recognition and Artificial Intelligence. Unidade: IFSC
Subjects: SISTEMAS DISTRIBUÍDOS, FRACTAIS, DIMENSÃO, WORKSTATIONS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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: 16 jul. 2024.
APA
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 jul. 16 ] 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 jul. 16 ] Available from: https://doi.org/10.1142/S0218001410008202
Artigo de periodico
Plant leaf identification based on volumetric fractal dimension (2009)
Backes, André Ricardo; Casanova, Dalcimar; Bruno, Odemir Martinez
Source: International Journal of Pattern Recognition and Artificial Intelligence. Unidade: IFSC
Subjects: PLANTAS (IDENTIFICAÇÃO), CLASSIFICAÇÃO, FRACTAIS (DIMENSÃO), TEXTURA (ANÁLISE), MODELOS (ANÁLISE)
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
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: 16 jul. 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 jul. 16 ] 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 jul. 16 ] Available from: https://doi.org/10.1142/S0218001409007508
Artigo de periodico
Automatic leaf structure biometry: computer vision techniques and their applications in plant taxonomy (2009)
Plotze, Rodrigo de Oliveira; Bruno, Odemir Martinez
Source: International Journal of Pattern Recognition and Artificial Intelligence. Unidade: IFSC
Subjects: PROCESSAMENTO DE IMAGENS (ANÁLISE), BIOMETRIA, BOTÂNICA (CLASSIFICAÇÃO), MORFOMETRIA, DIMENSÃO, VISÃO COMPUTACIONAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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: 16 jul. 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 jul. 16 ] 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 jul. 16 ] Available from: https://doi.org/10.1142/S0218001409007156

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