Filtros : "Indexado no CurCont" "Carvalho, André Carlos Ponce de Leon Ferreira de" Removidos: "Matemática" "594" "FREIRE, DANIELA LOPES" Limpar

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  • Source: IEEE Transactions on Power Systems. Unidades: ICMC, EESC

    Assunto: INTELIGÊNCIA ARTIFICIAL

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    • ABNT

      DELBEM, Alexandre Cláudio Botazzo e CARVALHO, André Carlos Ponce de Leon Ferreira de e BRETAS, Newton Geraldo. Main chain representation for evolutionary algorithms applied to distribution system reconfiguration. IEEE Transactions on Power Systems, v. 20, n. 1, p. 425-436, 2005Tradução . . Acesso em: 11 nov. 2024.
    • APA

      Delbem, A. C. B., Carvalho, A. C. P. de L. F. de, & Bretas, N. G. (2005). Main chain representation for evolutionary algorithms applied to distribution system reconfiguration. IEEE Transactions on Power Systems, 20( 1), 425-436.
    • NLM

      Delbem ACB, Carvalho ACP de LF de, Bretas NG. Main chain representation for evolutionary algorithms applied to distribution system reconfiguration. IEEE Transactions on Power Systems. 2005 ; 20( 1): 425-436.[citado 2024 nov. 11 ]
    • Vancouver

      Delbem ACB, Carvalho ACP de LF de, Bretas NG. Main chain representation for evolutionary algorithms applied to distribution system reconfiguration. IEEE Transactions on Power Systems. 2005 ; 20( 1): 425-436.[citado 2024 nov. 11 ]
  • Source: Real-Time Imaging. Unidade: ICMC

    Assunto: INTELIGÊNCIA ARTIFICIAL

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      DAMIANCE JUNIOR, Antonio P G e LIANG, Zhao e CARVALHO, André Carlos Ponce de Leon Ferreira de. A dynamical model with adaptive pixel moving for microarray images segmentation. Real-Time Imaging, v. 10, p. 189-195, 2004Tradução . . Disponível em: https://doi.org/10.1016/j.rti.2004.05.008. Acesso em: 11 nov. 2024.
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      Damiance Junior, A. P. G., Liang, Z., & Carvalho, A. C. P. de L. F. de. (2004). A dynamical model with adaptive pixel moving for microarray images segmentation. Real-Time Imaging, 10, 189-195. doi:10.1016/j.rti.2004.05.008
    • NLM

      Damiance Junior APG, Liang Z, Carvalho ACP de LF de. A dynamical model with adaptive pixel moving for microarray images segmentation [Internet]. Real-Time Imaging. 2004 ; 10 189-195.[citado 2024 nov. 11 ] Available from: https://doi.org/10.1016/j.rti.2004.05.008
    • Vancouver

      Damiance Junior APG, Liang Z, Carvalho ACP de LF de. A dynamical model with adaptive pixel moving for microarray images segmentation [Internet]. Real-Time Imaging. 2004 ; 10 189-195.[citado 2024 nov. 11 ] Available from: https://doi.org/10.1016/j.rti.2004.05.008
  • Source: IEEE Transactions on Neural Networks. Unidade: ICMC

    Assunto: INTELIGÊNCIA ARTIFICIAL

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      LIANG, Zhao e CARVALHO, André Carlos Ponce de Leon Ferreira de e LI, Zhaohui. Pixel clustering by adaptative pixel moving and chaotic synchronization. IEEE Transactions on Neural Networks, v. 15, n. 5, p. 1176-1185, 2004Tradução . . Acesso em: 11 nov. 2024.
    • APA

      Liang, Z., Carvalho, A. C. P. de L. F. de, & Li, Z. (2004). Pixel clustering by adaptative pixel moving and chaotic synchronization. IEEE Transactions on Neural Networks, 15( 5), 1176-1185.
    • NLM

      Liang Z, Carvalho ACP de LF de, Li Z. Pixel clustering by adaptative pixel moving and chaotic synchronization. IEEE Transactions on Neural Networks. 2004 ; 15( 5): 1176-1185.[citado 2024 nov. 11 ]
    • Vancouver

      Liang Z, Carvalho ACP de LF de, Li Z. Pixel clustering by adaptative pixel moving and chaotic synchronization. IEEE Transactions on Neural Networks. 2004 ; 15( 5): 1176-1185.[citado 2024 nov. 11 ]
  • Source: Genetics and Molecular Biology. Unidade: ICMC

    Assunto: INTELIGÊNCIA ARTIFICIAL

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      LORENA, Ana Carolina e CARVALHO, André Carlos Ponce de Leon Ferreira de. Evaluation of noise reduction techniques in the splice junction recognition problem. Genetics and Molecular Biology, v. 27, n. 4, p. 665-672, 2004Tradução . . Disponível em: https://doi.org/10.1590/S1415-47572004000400031. Acesso em: 11 nov. 2024.
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      Lorena, A. C., & Carvalho, A. C. P. de L. F. de. (2004). Evaluation of noise reduction techniques in the splice junction recognition problem. Genetics and Molecular Biology, 27( 4), 665-672. doi:10.1590/S1415-47572004000400031
    • NLM

      Lorena AC, Carvalho ACP de LF de. Evaluation of noise reduction techniques in the splice junction recognition problem [Internet]. Genetics and Molecular Biology. 2004 ; 27( 4): 665-672.[citado 2024 nov. 11 ] Available from: https://doi.org/10.1590/S1415-47572004000400031
    • Vancouver

      Lorena AC, Carvalho ACP de LF de. Evaluation of noise reduction techniques in the splice junction recognition problem [Internet]. Genetics and Molecular Biology. 2004 ; 27( 4): 665-672.[citado 2024 nov. 11 ] Available from: https://doi.org/10.1590/S1415-47572004000400031
  • Source: Engineering Intelligent Systems. Unidades: ICMC, EESC

    Assunto: INTELIGÊNCIA ARTIFICIAL

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      DELBEM, Alexandre Cláudio Botazzo e CARVALHO, André Carlos Ponce de Leon Ferreira de e BRETAS, Newton Geraldo. Graph chain representation associated to an evolutionary algorithm for restoration of radial distribution systems. Engineering Intelligent Systems, v. 12, n. 1, p. 3-12, 2004Tradução . . Acesso em: 11 nov. 2024.
    • APA

      Delbem, A. C. B., Carvalho, A. C. P. de L. F. de, & Bretas, N. G. (2004). Graph chain representation associated to an evolutionary algorithm for restoration of radial distribution systems. Engineering Intelligent Systems, 12( 1), 3-12.
    • NLM

      Delbem ACB, Carvalho ACP de LF de, Bretas NG. Graph chain representation associated to an evolutionary algorithm for restoration of radial distribution systems. Engineering Intelligent Systems. 2004 ; 12( 1): 3-12.[citado 2024 nov. 11 ]
    • Vancouver

      Delbem ACB, Carvalho ACP de LF de, Bretas NG. Graph chain representation associated to an evolutionary algorithm for restoration of radial distribution systems. Engineering Intelligent Systems. 2004 ; 12( 1): 3-12.[citado 2024 nov. 11 ]
  • Source: Genetics and Molecuular Biology. Unidade: ICMC

    Assunto: INTELIGÊNCIA ARTIFICIAL

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      PRATI, Ronaldo Cristiano e MONARD, Maria Carolina e CARVALHO, André Carlos Ponce de Leon Ferreira de. Looking for exceptions on knowledge rules induced from HIV cleavage data set. Genetics and Molecuular Biology, v. 27, n. 4, p. 637-643, 2004Tradução . . Disponível em: https://doi.org/10.1590/s1415-47572004000400027. Acesso em: 11 nov. 2024.
    • APA

      Prati, R. C., Monard, M. C., & Carvalho, A. C. P. de L. F. de. (2004). Looking for exceptions on knowledge rules induced from HIV cleavage data set. Genetics and Molecuular Biology, 27( 4), 637-643. doi:10.1590/s1415-47572004000400027
    • NLM

      Prati RC, Monard MC, Carvalho ACP de LF de. Looking for exceptions on knowledge rules induced from HIV cleavage data set [Internet]. Genetics and Molecuular Biology. 2004 ; 27( 4): 637-643.[citado 2024 nov. 11 ] Available from: https://doi.org/10.1590/s1415-47572004000400027
    • Vancouver

      Prati RC, Monard MC, Carvalho ACP de LF de. Looking for exceptions on knowledge rules induced from HIV cleavage data set [Internet]. Genetics and Molecuular Biology. 2004 ; 27( 4): 637-643.[citado 2024 nov. 11 ] Available from: https://doi.org/10.1590/s1415-47572004000400027
  • Source: Applied Intelligence. Unidade: ICMC

    Assunto: INTELIGÊNCIA ARTIFICIAL

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      FACELI, Katti e CARVALHO, André Carlos Ponce de Leon Ferreira de e REZENDE, Solange Oliveira. Combining intelligent techniques for sensor fusion. Applied Intelligence, v. 20, p. 199-213, 2004Tradução . . Disponível em: https://doi.org/10.1109/iconip.2002.1199023. Acesso em: 11 nov. 2024.
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      Faceli, K., Carvalho, A. C. P. de L. F. de, & Rezende, S. O. (2004). Combining intelligent techniques for sensor fusion. Applied Intelligence, 20, 199-213. doi:10.1109/iconip.2002.1199023
    • NLM

      Faceli K, Carvalho ACP de LF de, Rezende SO. Combining intelligent techniques for sensor fusion [Internet]. Applied Intelligence. 2004 ; 20 199-213.[citado 2024 nov. 11 ] Available from: https://doi.org/10.1109/iconip.2002.1199023
    • Vancouver

      Faceli K, Carvalho ACP de LF de, Rezende SO. Combining intelligent techniques for sensor fusion [Internet]. Applied Intelligence. 2004 ; 20 199-213.[citado 2024 nov. 11 ] Available from: https://doi.org/10.1109/iconip.2002.1199023

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