Filtros : "Applied Soft Computing" "REDES NEURAIS" Removido: "Financiamento CAPES" Limpar

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  • Source: Applied Soft Computing. Unidades: IFSC, ICMC

    Subjects: REDES COMPLEXAS, VISÃO COMPUTACIONAL, REDES NEURAIS

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    • ABNT

      RIBAS, Lucas Correia et al. Learning graph representation with randomized neural network for dynamic texture classification. Applied Soft Computing, v. 114, n. Ja 2022, p. 108035-1-108035-14, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.asoc.2021.108035. Acesso em: 28 nov. 2025.
    • APA

      Ribas, L. C., Sá Júnior, J. J. de M., Manzanera, A., & Bruno, O. M. (2022). Learning graph representation with randomized neural network for dynamic texture classification. Applied Soft Computing, 114( Ja 2022), 108035-1-108035-14. doi:10.1016/j.asoc.2021.108035
    • NLM

      Ribas LC, Sá Júnior JJ de M, Manzanera A, Bruno OM. Learning graph representation with randomized neural network for dynamic texture classification [Internet]. Applied Soft Computing. 2022 ; 114( Ja 2022): 108035-1-108035-14.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1016/j.asoc.2021.108035
    • Vancouver

      Ribas LC, Sá Júnior JJ de M, Manzanera A, Bruno OM. Learning graph representation with randomized neural network for dynamic texture classification [Internet]. Applied Soft Computing. 2022 ; 114( Ja 2022): 108035-1-108035-14.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1016/j.asoc.2021.108035
  • Source: Applied Soft Computing. Unidade: ICMC

    Subjects: APRENDIZADO COMPUTACIONAL, REDES NEURAIS, BOLSA DE VALORES, PREÇO DE AÇÕES

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    • ABNT

      BILEKI, Guilherme Augusto et al. Order book mid-price movement inference by CatBoost classifier from convolutional feature maps. Applied Soft Computing, v. 116, p. 1-13, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.asoc.2021.108274. Acesso em: 28 nov. 2025.
    • APA

      Bileki, G. A., Barboza, F. L. de M., Silva, L. H. C., & Bonato, V. (2022). Order book mid-price movement inference by CatBoost classifier from convolutional feature maps. Applied Soft Computing, 116, 1-13. doi:10.1016/j.asoc.2021.108274
    • NLM

      Bileki GA, Barboza FL de M, Silva LHC, Bonato V. Order book mid-price movement inference by CatBoost classifier from convolutional feature maps [Internet]. Applied Soft Computing. 2022 ; 116 1-13.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1016/j.asoc.2021.108274
    • Vancouver

      Bileki GA, Barboza FL de M, Silva LHC, Bonato V. Order book mid-price movement inference by CatBoost classifier from convolutional feature maps [Internet]. Applied Soft Computing. 2022 ; 116 1-13.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1016/j.asoc.2021.108274
  • Source: Applied Soft Computing. Unidade: FFCLRP

    Subjects: ALGORITMOS, REDES NEURAIS, OPERADORES, ALGORITMOS GENÉTICOS

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    • ABNT

      TINÓS, Renato. Artificial neural network based crossover for evolutionary algorithms. Applied Soft Computing, v. 95, 2020Tradução . . Disponível em: https://doi.org/10.1016/j.asoc.2020.106512. Acesso em: 28 nov. 2025.
    • APA

      Tinós, R. (2020). Artificial neural network based crossover for evolutionary algorithms. Applied Soft Computing, 95. doi:10.1016/j.asoc.2020.106512
    • NLM

      Tinós R. Artificial neural network based crossover for evolutionary algorithms [Internet]. Applied Soft Computing. 2020 ; 95[citado 2025 nov. 28 ] Available from: https://doi.org/10.1016/j.asoc.2020.106512
    • Vancouver

      Tinós R. Artificial neural network based crossover for evolutionary algorithms [Internet]. Applied Soft Computing. 2020 ; 95[citado 2025 nov. 28 ] Available from: https://doi.org/10.1016/j.asoc.2020.106512
  • Source: Applied Soft Computing. Unidade: EESC

    Subjects: REDES NEURAIS, ENERGIA ELÉTRICA (QUALIDADE)

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      NASCIMENTO, Claudionor Francisco do et al. Harmonic distortion monitoring for nonlinear loads using neural-network-method. Applied Soft Computing, v. 13, n. Ja 2013, p. 475-482, 2013Tradução . . Disponível em: https://doi.org/10.1016/j.asoc.2012.08.043. Acesso em: 28 nov. 2025.
    • APA

      Nascimento, C. F. do, Oliveira Júnior, A. A. de, Goedtel, A., & Dietrich, A. B. (2013). Harmonic distortion monitoring for nonlinear loads using neural-network-method. Applied Soft Computing, 13( Ja 2013), 475-482. doi:10.1016/j.asoc.2012.08.043
    • NLM

      Nascimento CF do, Oliveira Júnior AA de, Goedtel A, Dietrich AB. Harmonic distortion monitoring for nonlinear loads using neural-network-method [Internet]. Applied Soft Computing. 2013 ; 13( Ja 2013): 475-482.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1016/j.asoc.2012.08.043
    • Vancouver

      Nascimento CF do, Oliveira Júnior AA de, Goedtel A, Dietrich AB. Harmonic distortion monitoring for nonlinear loads using neural-network-method [Internet]. Applied Soft Computing. 2013 ; 13( Ja 2013): 475-482.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1016/j.asoc.2012.08.043
  • Source: Applied Soft Computing. Unidade: EESC

    Subjects: REDES NEURAIS, ELETRÔNICA DE POTÊNCIA

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      NASCIMENTO, Claudionor Francisco do et al. Harmonic identification using parallel neural networks in single-phase systems. Applied Soft Computing, v. 11, n. 2, p. 2178-2185, 2011Tradução . . Disponível em: https://doi.org/10.1016/j.asoc.2010.07.017. Acesso em: 28 nov. 2025.
    • APA

      Nascimento, C. F. do, Oliveira Júnior, A. A. de, Goedtel, A., & Serni, P. J. A. (2011). Harmonic identification using parallel neural networks in single-phase systems. Applied Soft Computing, 11( 2), 2178-2185. doi:10.1016/j.asoc.2010.07.017
    • NLM

      Nascimento CF do, Oliveira Júnior AA de, Goedtel A, Serni PJA. Harmonic identification using parallel neural networks in single-phase systems [Internet]. Applied Soft Computing. 2011 ; 11( 2): 2178-2185.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1016/j.asoc.2010.07.017
    • Vancouver

      Nascimento CF do, Oliveira Júnior AA de, Goedtel A, Serni PJA. Harmonic identification using parallel neural networks in single-phase systems [Internet]. Applied Soft Computing. 2011 ; 11( 2): 2178-2185.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1016/j.asoc.2010.07.017
  • Source: Applied Soft Computing. Unidade: EESC

    Subjects: FILTRAÇÃO (PROCESSOS), REDES NEURAIS

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    • ABNT

      SILVA, Ivan Nunes da e FLAUZINO, Rogério Andrade. An approach based on neural networks for estimation and generalization of crossflow filtration processes. Applied Soft Computing, v. 8, n. Ja 2008, p. 590-598, 2008Tradução . . Disponível em: https://doi.org/10.1016/j.asoc.2007.03.008. Acesso em: 28 nov. 2025.
    • APA

      Silva, I. N. da, & Flauzino, R. A. (2008). An approach based on neural networks for estimation and generalization of crossflow filtration processes. Applied Soft Computing, 8( Ja 2008), 590-598. doi:10.1016/j.asoc.2007.03.008
    • NLM

      Silva IN da, Flauzino RA. An approach based on neural networks for estimation and generalization of crossflow filtration processes [Internet]. Applied Soft Computing. 2008 ; 8( Ja 2008): 590-598.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1016/j.asoc.2007.03.008
    • Vancouver

      Silva IN da, Flauzino RA. An approach based on neural networks for estimation and generalization of crossflow filtration processes [Internet]. Applied Soft Computing. 2008 ; 8( Ja 2008): 590-598.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1016/j.asoc.2007.03.008

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