Filtros : "2016" "Applied Soft Computing" Limpar

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  • Source: Applied Soft Computing. Unidade: ICMC

    Subjects: SISTEMAS EMBUTIDOS, COMPUTAÇÃO EVOLUTIVA, ROBÓTICA

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    • ABNT

      ROSA, L. S et al. Design and analysis of evolutionary bit-length optimization algorithms for floating to fixed-point conversion. Applied Soft Computing, v. 49, p. 447-461, 2016Tradução . . Disponível em: https://doi.org/10.1016/j.asoc.2016.08.035. Acesso em: 22 jul. 2024.
    • APA

      Rosa, L. S., Delbem, A. C. B., Toledo, C. F. M., & Bonato, V. (2016). Design and analysis of evolutionary bit-length optimization algorithms for floating to fixed-point conversion. Applied Soft Computing, 49, 447-461. doi:10.1016/j.asoc.2016.08.035
    • NLM

      Rosa LS, Delbem ACB, Toledo CFM, Bonato V. Design and analysis of evolutionary bit-length optimization algorithms for floating to fixed-point conversion [Internet]. Applied Soft Computing. 2016 ; 49 447-461.[citado 2024 jul. 22 ] Available from: https://doi.org/10.1016/j.asoc.2016.08.035
    • Vancouver

      Rosa LS, Delbem ACB, Toledo CFM, Bonato V. Design and analysis of evolutionary bit-length optimization algorithms for floating to fixed-point conversion [Internet]. Applied Soft Computing. 2016 ; 49 447-461.[citado 2024 jul. 22 ] Available from: https://doi.org/10.1016/j.asoc.2016.08.035
  • Source: Applied Soft Computing. Unidade: ICMC

    Subjects: SISTEMAS EMBUTIDOS, COMPUTAÇÃO EVOLUTIVA, ROBÓTICA

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      PAIVA, Jonatas Lopes de e TOLEDO, Claudio Fabiano Motta e PEDRINI, Hélio. An approach based on hybrid genetic algorithm applied to image denoising problem. Applied Soft Computing, v. 46, p. 778-791, 2016Tradução . . Disponível em: https://doi.org/10.1016/j.asoc.2015.09.013. Acesso em: 22 jul. 2024.
    • APA

      Paiva, J. L. de, Toledo, C. F. M., & Pedrini, H. (2016). An approach based on hybrid genetic algorithm applied to image denoising problem. Applied Soft Computing, 46, 778-791. doi:10.1016/j.asoc.2015.09.013
    • NLM

      Paiva JL de, Toledo CFM, Pedrini H. An approach based on hybrid genetic algorithm applied to image denoising problem [Internet]. Applied Soft Computing. 2016 ; 46 778-791.[citado 2024 jul. 22 ] Available from: https://doi.org/10.1016/j.asoc.2015.09.013
    • Vancouver

      Paiva JL de, Toledo CFM, Pedrini H. An approach based on hybrid genetic algorithm applied to image denoising problem [Internet]. Applied Soft Computing. 2016 ; 46 778-791.[citado 2024 jul. 22 ] Available from: https://doi.org/10.1016/j.asoc.2015.09.013
  • Source: Applied Soft Computing. Unidade: EESC

    Subjects: MOTORES DE INDUÇÃO, RECONHECIMENTO DE PADRÕES, AUTOMÓVEIS, SISTEMAS MULTIAGENTES

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      PALÁCIOS, Rodrigo Henrique Cunha et al. A novel multi-agent approach to identify faults in line connected three-phase induction motors. Applied Soft Computing, v. 45, p. 1-10, 2016Tradução . . Disponível em: https://doi.org/10.1016/j.asoc.2016.04.018. Acesso em: 22 jul. 2024.
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      Palácios, R. H. C., Silva, I. N. da, Goedtel, A., & Godoy, W. F. (2016). A novel multi-agent approach to identify faults in line connected three-phase induction motors. Applied Soft Computing, 45, 1-10. doi:10.1016/j.asoc.2016.04.018
    • NLM

      Palácios RHC, Silva IN da, Goedtel A, Godoy WF. A novel multi-agent approach to identify faults in line connected three-phase induction motors [Internet]. Applied Soft Computing. 2016 ; 45 1-10.[citado 2024 jul. 22 ] Available from: https://doi.org/10.1016/j.asoc.2016.04.018
    • Vancouver

      Palácios RHC, Silva IN da, Goedtel A, Godoy WF. A novel multi-agent approach to identify faults in line connected three-phase induction motors [Internet]. Applied Soft Computing. 2016 ; 45 1-10.[citado 2024 jul. 22 ] Available from: https://doi.org/10.1016/j.asoc.2016.04.018
  • Source: Applied Soft Computing. Unidade: EESC

    Subjects: SISTEMAS ELÉTRICOS DE POTÊNCIA, ANÁLISE DE ONDALETAS, ENERGIA ELÉTRICA, ENGENHARIA ELÉTRICA

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      ANDRADE, Luciano Carli Moreira de e OLESKOVICZ, Mario e FERNANDES, Ricardo Augusto Souza. Adaptive threshold based on wavelet transform applied to the segmentation of single and combined power quality disturbances. Applied Soft Computing, v. 38, n. Ja 2016, p. 967-977, 2016Tradução . . Disponível em: https://doi.org/10.1016/j.asoc.2015.10.061. Acesso em: 22 jul. 2024.
    • APA

      Andrade, L. C. M. de, Oleskovicz, M., & Fernandes, R. A. S. (2016). Adaptive threshold based on wavelet transform applied to the segmentation of single and combined power quality disturbances. Applied Soft Computing, 38( Ja 2016), 967-977. doi:10.1016/j.asoc.2015.10.061
    • NLM

      Andrade LCM de, Oleskovicz M, Fernandes RAS. Adaptive threshold based on wavelet transform applied to the segmentation of single and combined power quality disturbances [Internet]. Applied Soft Computing. 2016 ; 38( Ja 2016): 967-977.[citado 2024 jul. 22 ] Available from: https://doi.org/10.1016/j.asoc.2015.10.061
    • Vancouver

      Andrade LCM de, Oleskovicz M, Fernandes RAS. Adaptive threshold based on wavelet transform applied to the segmentation of single and combined power quality disturbances [Internet]. Applied Soft Computing. 2016 ; 38( Ja 2016): 967-977.[citado 2024 jul. 22 ] Available from: https://doi.org/10.1016/j.asoc.2015.10.061

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