Filtros : "Applied Soft Computing" "ICMC-SSC" Removido: "2022" Limpar

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  • Source: Applied Soft Computing. Unidade: ICMC

    Subjects: RECONHECIMENTO DE IMAGEM, REDES NEURAIS

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      WATANABE, Thomio e WOLF, Denis Fernando. Image classification in frequency domain with 2SReLU: a second harmonics superposition activation function. Applied Soft Computing, v. No 2021, p. 1-10, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.asoc.2021.107851. Acesso em: 28 nov. 2025.
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      Watanabe, T., & Wolf, D. F. (2021). Image classification in frequency domain with 2SReLU: a second harmonics superposition activation function. Applied Soft Computing, No 2021, 1-10. doi:10.1016/j.asoc.2021.107851
    • NLM

      Watanabe T, Wolf DF. Image classification in frequency domain with 2SReLU: a second harmonics superposition activation function [Internet]. Applied Soft Computing. 2021 ; No 2021 1-10.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1016/j.asoc.2021.107851
    • Vancouver

      Watanabe T, Wolf DF. Image classification in frequency domain with 2SReLU: a second harmonics superposition activation function [Internet]. Applied Soft Computing. 2021 ; No 2021 1-10.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1016/j.asoc.2021.107851
  • Source: Applied Soft Computing. Unidade: ICMC

    Subjects: MINERAÇÃO DE DADOS, AVALIAÇÃO DE DESEMPENHO, GEOMETRIA E MODELAGEM COMPUTACIONAL

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      PINTO, Renê de Souza e DELBEM, Alexandre Cláudio Botazzo e MONACO, Francisco José. Characterization of runtime resource usage from analysis of binary executable programs. Applied Soft Computing, v. 71, p. 1133-1152, 2018Tradução . . Disponível em: https://doi.org/10.1016/j.asoc.2017.12.040. Acesso em: 28 nov. 2025.
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      Pinto, R. de S., Delbem, A. C. B., & Monaco, F. J. (2018). Characterization of runtime resource usage from analysis of binary executable programs. Applied Soft Computing, 71, 1133-1152. doi:10.1016/j.asoc.2017.12.040
    • NLM

      Pinto R de S, Delbem ACB, Monaco FJ. Characterization of runtime resource usage from analysis of binary executable programs [Internet]. Applied Soft Computing. 2018 ; 71 1133-1152.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1016/j.asoc.2017.12.040
    • Vancouver

      Pinto R de S, Delbem ACB, Monaco FJ. Characterization of runtime resource usage from analysis of binary executable programs [Internet]. Applied Soft Computing. 2018 ; 71 1133-1152.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1016/j.asoc.2017.12.040
  • Source: Applied Soft Computing. Unidade: ICMC

    Subjects: SISTEMAS EMBUTIDOS, COMPUTAÇÃO EVOLUTIVA, ROBÓTICA

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      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: 28 nov. 2025.
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      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 2025 nov. 28 ] 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 2025 nov. 28 ] 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: 28 nov. 2025.
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      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 2025 nov. 28 ] 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 2025 nov. 28 ] Available from: https://doi.org/10.1016/j.asoc.2015.09.013
  • Source: Applied Soft Computing. Unidades: EESC, ICMC

    Subjects: SISTEMAS EMBUTIDOS, COMPUTAÇÃO EVOLUTIVA, ROBÓTICA, DISTRIBUIÇÃO DE ENERGIA ELÉTRICA, ALGORITMOS, MÉTODO DE MONTE CARLO

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      PRADO, Ricardo Sérgio et al. Differential evolution using ancestor tree for service restoration in power distribution systems. Applied Soft Computing, v. 23, p. 498-508, 2014Tradução . . Disponível em: https://doi.org/10.1016/j.asoc.2014.06.005. Acesso em: 28 nov. 2025.
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      Prado, R. S., Silva, R. C. P., Mangela Neto, O., Guimarães, F. G., Sanches, D. S., London Junior, J. B. A., & Delbem, A. C. B. (2014). Differential evolution using ancestor tree for service restoration in power distribution systems. Applied Soft Computing, 23, 498-508. doi:10.1016/j.asoc.2014.06.005
    • NLM

      Prado RS, Silva RCP, Mangela Neto O, Guimarães FG, Sanches DS, London Junior JBA, Delbem ACB. Differential evolution using ancestor tree for service restoration in power distribution systems [Internet]. Applied Soft Computing. 2014 ; 23 498-508.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1016/j.asoc.2014.06.005
    • Vancouver

      Prado RS, Silva RCP, Mangela Neto O, Guimarães FG, Sanches DS, London Junior JBA, Delbem ACB. Differential evolution using ancestor tree for service restoration in power distribution systems [Internet]. Applied Soft Computing. 2014 ; 23 498-508.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1016/j.asoc.2014.06.005
  • Source: Applied Soft Computing. Unidade: ICMC

    Assunto: OTIMIZAÇÃO

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      TOLEDO, Claudio Fabiano Motta et al. Glass container production scheduling through hybrid multi-population based evolutionary algorithm. Applied Soft Computing, v. 13, n. 3, p. 1352\20131364, 2013Tradução . . Disponível em: https://doi.org/10.1016/j.asoc.2012.03.074. Acesso em: 28 nov. 2025.
    • APA

      Toledo, C. F. M., Arantes, M. da S., Oliveira, R. R. R. de, & Almada-Lobo, B. (2013). Glass container production scheduling through hybrid multi-population based evolutionary algorithm. Applied Soft Computing, 13( 3), 1352\20131364. doi:10.1016/j.asoc.2012.03.074
    • NLM

      Toledo CFM, Arantes M da S, Oliveira RRR de, Almada-Lobo B. Glass container production scheduling through hybrid multi-population based evolutionary algorithm [Internet]. Applied Soft Computing. 2013 ; 13( 3): 1352\20131364.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1016/j.asoc.2012.03.074
    • Vancouver

      Toledo CFM, Arantes M da S, Oliveira RRR de, Almada-Lobo B. Glass container production scheduling through hybrid multi-population based evolutionary algorithm [Internet]. Applied Soft Computing. 2013 ; 13( 3): 1352\20131364.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1016/j.asoc.2012.03.074

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