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  • Source: Applied Soft Computing. Unidade: ICMC

    Subjects: ANÁLISE DE SÉRIES TEMPORAIS, FUZZY (INTELIGÊNCIA ARTIFICIAL)

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      FERREIRA, Marcos Vinícius dos Santos et al. Using fuzzy clustering to address imprecision and uncertainty present in deterministic components of time series. Applied Soft Computing, v. 113, p. 1-13, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.asoc.2021.108011. Acesso em: 10 nov. 2025.
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      Ferreira, M. V. dos S., Rios, R. A., Mello, R. F. de, & Rios, T. N. (2021). Using fuzzy clustering to address imprecision and uncertainty present in deterministic components of time series. Applied Soft Computing, 113, 1-13. doi:10.1016/j.asoc.2021.108011
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      Ferreira MV dos S, Rios RA, Mello RF de, Rios TN. Using fuzzy clustering to address imprecision and uncertainty present in deterministic components of time series [Internet]. Applied Soft Computing. 2021 ; 113 1-13.[citado 2025 nov. 10 ] Available from: https://doi.org/10.1016/j.asoc.2021.108011
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      Ferreira MV dos S, Rios RA, Mello RF de, Rios TN. Using fuzzy clustering to address imprecision and uncertainty present in deterministic components of time series [Internet]. Applied Soft Computing. 2021 ; 113 1-13.[citado 2025 nov. 10 ] Available from: https://doi.org/10.1016/j.asoc.2021.108011
  • 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: 10 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
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      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. 10 ] Available from: https://doi.org/10.1016/j.asoc.2021.107851
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      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. 10 ] Available from: https://doi.org/10.1016/j.asoc.2021.107851
  • Source: Applied Soft Computing. Unidade: ICMC

    Subjects: APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE IMAGEM, ALGORITMOS PARA IMAGENS

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      PONTI, Moacir Antonelli et al. Supervised and unsupervised relevance sampling in handcrafted and deep learning features obtained from image collections. Applied Soft Computing, v. 80, p. 414-424, 2019Tradução . . Disponível em: https://doi.org/10.1016/j.asoc.2019.04.013. Acesso em: 10 nov. 2025.
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      Ponti, M. A., Costa, G. B. P. da, Santos, F. P. dos, & Silveira, K. U. (2019). Supervised and unsupervised relevance sampling in handcrafted and deep learning features obtained from image collections. Applied Soft Computing, 80, 414-424. doi:10.1016/j.asoc.2019.04.013
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      Ponti MA, Costa GBP da, Santos FP dos, Silveira KU. Supervised and unsupervised relevance sampling in handcrafted and deep learning features obtained from image collections [Internet]. Applied Soft Computing. 2019 ; 80 414-424.[citado 2025 nov. 10 ] Available from: https://doi.org/10.1016/j.asoc.2019.04.013
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      Ponti MA, Costa GBP da, Santos FP dos, Silveira KU. Supervised and unsupervised relevance sampling in handcrafted and deep learning features obtained from image collections [Internet]. Applied Soft Computing. 2019 ; 80 414-424.[citado 2025 nov. 10 ] Available from: https://doi.org/10.1016/j.asoc.2019.04.013
  • Source: Applied Soft Computing. Unidade: ICMC

    Subjects: BIOINFORMÁTICA, RECONHECIMENTO DE PADRÕES, ALGORITMOS GENÉTICOS, EXPRESSÃO GÊNICA

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      PADILHA, Victor Alexandre e CARVALHO, André Carlos Ponce de Leon Ferreira de. Experimental correlation analysis of bicluster coherence measures and gene ontology information. Applied Soft Computing, v. 85, p. 1-11, 2019Tradução . . Disponível em: https://doi.org/10.1016/j.asoc.2019.105688. Acesso em: 10 nov. 2025.
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      Padilha, V. A., & Carvalho, A. C. P. de L. F. de. (2019). Experimental correlation analysis of bicluster coherence measures and gene ontology information. Applied Soft Computing, 85, 1-11. doi:10.1016/j.asoc.2019.105688
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      Padilha VA, Carvalho ACP de LF de. Experimental correlation analysis of bicluster coherence measures and gene ontology information [Internet]. Applied Soft Computing. 2019 ; 85 1-11.[citado 2025 nov. 10 ] Available from: https://doi.org/10.1016/j.asoc.2019.105688
    • Vancouver

      Padilha VA, Carvalho ACP de LF de. Experimental correlation analysis of bicluster coherence measures and gene ontology information [Internet]. Applied Soft Computing. 2019 ; 85 1-11.[citado 2025 nov. 10 ] Available from: https://doi.org/10.1016/j.asoc.2019.105688
  • 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: 10 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
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      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. 10 ] Available from: https://doi.org/10.1016/j.asoc.2017.12.040
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      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. 10 ] Available from: https://doi.org/10.1016/j.asoc.2017.12.040
  • Source: Applied Soft Computing. Unidade: EESC

    Subjects: HEURÍSTICA, ENGENHARIA ELÉTRICA

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      SPAVIERI, Guilherme et al. Particle swarm optimization-based approach for parameterization of power capacitor models fed by harmonic voltages. Applied Soft Computing, v. 56, p. 55-64, 2017Tradução . . Disponível em: https://doi.org/10.1016/j.asoc.2017.02.017. Acesso em: 10 nov. 2025.
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      Spavieri, G., Ferreira, R. T. M., Fernandes, R. A. S., Lage, G. G., Barbosa, D., & Oleskovicz, M. (2017). Particle swarm optimization-based approach for parameterization of power capacitor models fed by harmonic voltages. Applied Soft Computing, 56, 55-64. doi:10.1016/j.asoc.2017.02.017
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      Spavieri G, Ferreira RTM, Fernandes RAS, Lage GG, Barbosa D, Oleskovicz M. Particle swarm optimization-based approach for parameterization of power capacitor models fed by harmonic voltages [Internet]. Applied Soft Computing. 2017 ; 56 55-64.[citado 2025 nov. 10 ] Available from: https://doi.org/10.1016/j.asoc.2017.02.017
    • Vancouver

      Spavieri G, Ferreira RTM, Fernandes RAS, Lage GG, Barbosa D, Oleskovicz M. Particle swarm optimization-based approach for parameterization of power capacitor models fed by harmonic voltages [Internet]. Applied Soft Computing. 2017 ; 56 55-64.[citado 2025 nov. 10 ] Available from: https://doi.org/10.1016/j.asoc.2017.02.017
  • 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: 10 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
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      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. 10 ] 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. 10 ] 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: 10 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
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      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. 10 ] 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. 10 ] 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: 10 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
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      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. 10 ] Available from: https://doi.org/10.1016/j.asoc.2014.06.005
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      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. 10 ] 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: 10 nov. 2025.
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      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
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      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. 10 ] Available from: https://doi.org/10.1016/j.asoc.2012.03.074
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      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. 10 ] Available from: https://doi.org/10.1016/j.asoc.2012.03.074
  • Source: Applied Soft Computing. Unidade: ICMC

    Assunto: INTELIGÊNCIA ARTIFICIAL

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      NALDI, Murilo Coelho et al. Efficiency issues of evolutionary k-means. Applied Soft Computing, v. 11, n. 2, p. 1938-1952, 2011Tradução . . Disponível em: https://doi.org/10.1016/j.asoc.2010.06.010. Acesso em: 10 nov. 2025.
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      Naldi, M. C., Campello, R. J. G. B., Hruschka, E. R., & Carvalho, A. C. P. de L. F. de. (2011). Efficiency issues of evolutionary k-means. Applied Soft Computing, 11( 2), 1938-1952. doi:10.1016/j.asoc.2010.06.010
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      Naldi MC, Campello RJGB, Hruschka ER, Carvalho ACP de LF de. Efficiency issues of evolutionary k-means [Internet]. Applied Soft Computing. 2011 ; 11( 2): 1938-1952.[citado 2025 nov. 10 ] Available from: https://doi.org/10.1016/j.asoc.2010.06.010
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      Naldi MC, Campello RJGB, Hruschka ER, Carvalho ACP de LF de. Efficiency issues of evolutionary k-means [Internet]. Applied Soft Computing. 2011 ; 11( 2): 1938-1952.[citado 2025 nov. 10 ] Available from: https://doi.org/10.1016/j.asoc.2010.06.010
  • 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: 10 nov. 2025.
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      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
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      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. 10 ] Available from: https://doi.org/10.1016/j.asoc.2010.07.017
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      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. 10 ] 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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      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: 10 nov. 2025.
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      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
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      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. 10 ] Available from: https://doi.org/10.1016/j.asoc.2007.03.008
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      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. 10 ] Available from: https://doi.org/10.1016/j.asoc.2007.03.008

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