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Filtros : "BRUNO, ODEMIR MARTINEZ" "Singapura" Limpar

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1 - 10 (10 records)

  • Parte de monografia/livro

    Recent advances in machine learning for electrochemical, optical, and gas sensors (2023)

    Materon, Elsa Maria ; Silva, Filipe Sampaio Reis da ; Ribas, Lucas Correia ; Joshi, Nirav Kumar Jitendrabhai ; Bruno, Odemir Martinez ; Carrilho, Emanuel ; Oliveira Junior, Osvaldo Novais de

    Source: Machine learning for advanced functional materials. Unidades: IFSC, IQSC

    Subjects: ELETROQUÍMICA, SENSORES QUÍMICOS, SENSORES ÓPTICOS, INTELIGÊNCIA ARTIFICIAL

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    • ABNT

      MATERON, Elsa Maria et al. Recent advances in machine learning for electrochemical, optical, and gas sensors. Machine learning for advanced functional materials. Tradução . Singapore: Springer, 2023. . Disponível em: https://doi.org/10.1007/978-981-99-0393-1_6. Acesso em: 25 jun. 2024.

    • APA

      Materon, E. M., Silva, F. S. R. da, Ribas, L. C., Joshi, N. K. J., Bruno, O. M., Carrilho, E., & Oliveira Junior, O. N. de. (2023). Recent advances in machine learning for electrochemical, optical, and gas sensors. In Machine learning for advanced functional materials. Singapore: Springer. doi:10.1007/978-981-99-0393-1_6

    • NLM

      Materon EM, Silva FSR da, Ribas LC, Joshi NKJ, Bruno OM, Carrilho E, Oliveira Junior ON de. Recent advances in machine learning for electrochemical, optical, and gas sensors [Internet]. In: Machine learning for advanced functional materials. Singapore: Springer; 2023. [citado 2024 jun. 25 ] Available from: https://doi.org/10.1007/978-981-99-0393-1_6

    • Vancouver

      Materon EM, Silva FSR da, Ribas LC, Joshi NKJ, Bruno OM, Carrilho E, Oliveira Junior ON de. Recent advances in machine learning for electrochemical, optical, and gas sensors [Internet]. In: Machine learning for advanced functional materials. Singapore: Springer; 2023. [citado 2024 jun. 25 ] Available from: https://doi.org/10.1007/978-981-99-0393-1_6

  • Artigo de periodico

    Exploiting ergodicity of the logistic map using deep-zoom to improve security of chaos-based cryptosystems (2019)

    Machicao, Jeaneth; Alves, Marcela; Baptista, Murilo S.; Bruno, Odemir Martinez

    Source: International Journal of Modern Physics C. Unidade: IFSC

    Subjects: RECONHECIMENTO DE PADRÕES, PROCESSAMENTO DE IMAGENS

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      MACHICAO, Jeaneth et al. Exploiting ergodicity of the logistic map using deep-zoom to improve security of chaos-based cryptosystems. International Journal of Modern Physics C, v. 30, n. 4, p. 1950033-1-1950033-18, 2019Tradução . . Disponível em: https://doi.org/10.1142/S0129183119500335. Acesso em: 25 jun. 2024.

    • APA

      Machicao, J., Alves, M., Baptista, M. S., & Bruno, O. M. (2019). Exploiting ergodicity of the logistic map using deep-zoom to improve security of chaos-based cryptosystems. International Journal of Modern Physics C, 30( 4), 1950033-1-1950033-18. doi:10.1142/S0129183119500335

    • NLM

      Machicao J, Alves M, Baptista MS, Bruno OM. Exploiting ergodicity of the logistic map using deep-zoom to improve security of chaos-based cryptosystems [Internet]. International Journal of Modern Physics C. 2019 ; 30( 4): 1950033-1-1950033-18.[citado 2024 jun. 25 ] Available from: https://doi.org/10.1142/S0129183119500335

    • Vancouver

      Machicao J, Alves M, Baptista MS, Bruno OM. Exploiting ergodicity of the logistic map using deep-zoom to improve security of chaos-based cryptosystems [Internet]. International Journal of Modern Physics C. 2019 ; 30( 4): 1950033-1-1950033-18.[citado 2024 jun. 25 ] Available from: https://doi.org/10.1142/S0129183119500335

  • Artigo de periodico

    Enhancing LBP by preprocessing via anisotropic diffusion (2018)

    Barros Neiva, Mariane; Guidotti, Patrick; Bruno, Odemir Martinez

    Source: International Journal of Modern Physics C. Unidade: IFSC

    Subjects: RECONHECIMENTO DE PADRÕES, PROCESSAMENTO DE IMAGENS

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      BARROS NEIVA, Mariane e GUIDOTTI, Patrick e BRUNO, Odemir Martinez. Enhancing LBP by preprocessing via anisotropic diffusion. International Journal of Modern Physics C, v. 29, n. 8, p. 1850071-1-1850071-29, 2018Tradução . . Disponível em: https://doi.org/10.1142/S0129183118500717. Acesso em: 25 jun. 2024.

    • APA

      Barros Neiva, M., Guidotti, P., & Bruno, O. M. (2018). Enhancing LBP by preprocessing via anisotropic diffusion. International Journal of Modern Physics C, 29( 8), 1850071-1-1850071-29. doi:10.1142/S0129183118500717

    • NLM

      Barros Neiva M, Guidotti P, Bruno OM. Enhancing LBP by preprocessing via anisotropic diffusion [Internet]. International Journal of Modern Physics C. 2018 ; 29( 8): 1850071-1-1850071-29.[citado 2024 jun. 25 ] Available from: https://doi.org/10.1142/S0129183118500717

    • Vancouver

      Barros Neiva M, Guidotti P, Bruno OM. Enhancing LBP by preprocessing via anisotropic diffusion [Internet]. International Journal of Modern Physics C. 2018 ; 29( 8): 1850071-1-1850071-29.[citado 2024 jun. 25 ] Available from: https://doi.org/10.1142/S0129183118500717

  • Artigo de periodico

    Contour polygonal approximation using the shortest path in networks (2014)

    Backes, André Ricardo; Casanova, Dalcimar; Bruno, Odemir Martinez

    Source: International Journal of Modern Physics C. Unidade: IFSC

    Subjects: REDES COMPLEXAS, REDES DE COMPUTADORES, CIÊNCIA DA COMPUTAÇÃO

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      BACKES, André Ricardo e CASANOVA, Dalcimar e BRUNO, Odemir Martinez. Contour polygonal approximation using the shortest path in networks. International Journal of Modern Physics C, v. 25, n. 2, p. 1350090-1-1350090-23, 2014Tradução . . Disponível em: https://doi.org/10.1142/S0129183113500903. Acesso em: 25 jun. 2024.

    • APA

      Backes, A. R., Casanova, D., & Bruno, O. M. (2014). Contour polygonal approximation using the shortest path in networks. International Journal of Modern Physics C, 25( 2), 1350090-1-1350090-23. doi:10.1142/S0129183113500903

    • NLM

      Backes AR, Casanova D, Bruno OM. Contour polygonal approximation using the shortest path in networks [Internet]. International Journal of Modern Physics C. 2014 ; 25( 2): 1350090-1-1350090-23.[citado 2024 jun. 25 ] Available from: https://doi.org/10.1142/S0129183113500903

    • Vancouver

      Backes AR, Casanova D, Bruno OM. Contour polygonal approximation using the shortest path in networks [Internet]. International Journal of Modern Physics C. 2014 ; 25( 2): 1350090-1-1350090-23.[citado 2024 jun. 25 ] Available from: https://doi.org/10.1142/S0129183113500903

  • Artigo de periodico

    Enhancing volumetric Bouligand-Minkowski fractal descriptors by using functional data analysis (2011)

    Florindo, João Batista; Castro, Mário de ; Bruno, Odemir Martinez

    Source: International Journal of Modern Physics C. Unidades: ICMC, IFSC

    Subjects: FRACTAIS (ANÁLISE), PROCESSAMENTO DE IMAGENS, REDES COMPLEXAS

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      FLORINDO, João Batista e CASTRO, Mário de e BRUNO, Odemir Martinez. Enhancing volumetric Bouligand-Minkowski fractal descriptors by using functional data analysis. International Journal of Modern Physics C, v. 22, n. 9, p. 929-952, 2011Tradução . . Disponível em: https://doi.org/10.1142/S0129183111016701. Acesso em: 25 jun. 2024.

    • APA

      Florindo, J. B., Castro, M. de, & Bruno, O. M. (2011). Enhancing volumetric Bouligand-Minkowski fractal descriptors by using functional data analysis. International Journal of Modern Physics C, 22( 9), 929-952. doi:10.1142/S0129183111016701

    • NLM

      Florindo JB, Castro M de, Bruno OM. Enhancing volumetric Bouligand-Minkowski fractal descriptors by using functional data analysis [Internet]. International Journal of Modern Physics C. 2011 ; 22( 9): 929-952.[citado 2024 jun. 25 ] Available from: https://doi.org/10.1142/S0129183111016701

    • Vancouver

      Florindo JB, Castro M de, Bruno OM. Enhancing volumetric Bouligand-Minkowski fractal descriptors by using functional data analysis [Internet]. International Journal of Modern Physics C. 2011 ; 22( 9): 929-952.[citado 2024 jun. 25 ] Available from: https://doi.org/10.1142/S0129183111016701

  • 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

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      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: 25 jun. 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 jun. 25 ] 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 jun. 25 ] 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

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      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: 25 jun. 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 jun. 25 ] 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 jun. 25 ] 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

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      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: 25 jun. 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 jun. 25 ] 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 jun. 25 ] 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)

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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: 25 jun. 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 jun. 25 ] 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 jun. 25 ] 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

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      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: 25 jun. 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 jun. 25 ] 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 jun. 25 ] Available from: https://doi.org/10.1142/S0218001409007156
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