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  • Source: Applied Soft Computing. Unidade: EP

    Subjects: APRENDIZADO COMPUTACIONAL, LINGUAGEM NATURAL, APRENDIZAGEM PROFUNDA

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      PELLICER, Lucas Francisco Amaral Orosco e FERREIRA, Taynan Maier e COSTA, Anna Helena Reali. Data augmentation techniques in natural language processing. Applied Soft Computing, v. 132, n. Ja 2023. Article nº 109803, p. 1-20, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.asoc.2022.109803. Acesso em: 02 out. 2024.
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      Pellicer, L. F. A. O., Ferreira, T. M., & Costa, A. H. R. (2023). Data augmentation techniques in natural language processing. Applied Soft Computing, 132( Ja 2023. Article nº 109803), 1-20. doi:10.1016/j.asoc.2022.109803
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      Pellicer LFAO, Ferreira TM, Costa AHR. Data augmentation techniques in natural language processing [Internet]. Applied Soft Computing. 2023 ; 132( Ja 2023. Article nº 109803): 1-20.[citado 2024 out. 02 ] Available from: https://doi.org/10.1016/j.asoc.2022.109803
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      Pellicer LFAO, Ferreira TM, Costa AHR. Data augmentation techniques in natural language processing [Internet]. Applied Soft Computing. 2023 ; 132( Ja 2023. Article nº 109803): 1-20.[citado 2024 out. 02 ] Available from: https://doi.org/10.1016/j.asoc.2022.109803
  • Source: Applied Soft Computing. Unidade: EP

    Subjects: EDIFÍCIOS INTELIGENTES, SISTEMAS DE CONTROLE

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      SILVA, Gabriel Mariano de Castro e SICHMAN, Jaime S. Impersonation fraud detection on building access control systems: an approach based on anomalous social and spatio-temporal behaviors. Applied Soft Computing, v. 118, p. 108310, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.asoc.2021.108310. Acesso em: 02 out. 2024.
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      Silva, G. M. de C., & Sichman, J. S. (2022). Impersonation fraud detection on building access control systems: an approach based on anomalous social and spatio-temporal behaviors. Applied Soft Computing, 118, 108310. doi:10.1016/j.asoc.2021.108310
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      Silva GM de C, Sichman JS. Impersonation fraud detection on building access control systems: an approach based on anomalous social and spatio-temporal behaviors [Internet]. Applied Soft Computing. 2022 ; 118 108310.[citado 2024 out. 02 ] Available from: https://doi.org/10.1016/j.asoc.2021.108310
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      Silva GM de C, Sichman JS. Impersonation fraud detection on building access control systems: an approach based on anomalous social and spatio-temporal behaviors [Internet]. Applied Soft Computing. 2022 ; 118 108310.[citado 2024 out. 02 ] Available from: https://doi.org/10.1016/j.asoc.2021.108310
  • Source: Applied Soft Computing. Unidade: ICMC

    Subjects: ALGORITMOS GENÉTICOS, PROGRAMAÇÃO GENÉTICA, JOGOS DE COMPUTADOR

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      MARIÑO, Julian Ricardo Hernandez e TOLEDO, Claudio Fabiano Motta. Evolving interpretable strategies for zero-sum games. Applied Soft Computing, v. 122, p. 1-11, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.asoc.2022.108860. Acesso em: 02 out. 2024.
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      Mariño, J. R. H., & Toledo, C. F. M. (2022). Evolving interpretable strategies for zero-sum games. Applied Soft Computing, 122, 1-11. doi:10.1016/j.asoc.2022.108860
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      Mariño JRH, Toledo CFM. Evolving interpretable strategies for zero-sum games [Internet]. Applied Soft Computing. 2022 ; 122 1-11.[citado 2024 out. 02 ] Available from: https://doi.org/10.1016/j.asoc.2022.108860
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      Mariño JRH, Toledo CFM. Evolving interpretable strategies for zero-sum games [Internet]. Applied Soft Computing. 2022 ; 122 1-11.[citado 2024 out. 02 ] Available from: https://doi.org/10.1016/j.asoc.2022.108860
  • Source: Applied Soft Computing. Unidade: ICMC

    Subjects: ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO NÃO LINEAR, COMPUTAÇÃO EVOLUTIVA, REOLOGIA, GEOMETRIA E MODELAGEM COMPUTACIONAL

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      MONACO, Francisco José et al. Regularization-free multicriteria optimization of polymer viscoelasticity model. Applied Soft Computing, v. 124, p. 1-18, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.asoc.2022.109040. Acesso em: 02 out. 2024.
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      Monaco, F. J., Denysiuk, R., Delbem, A. C. B., & Gaspar-Cunha, A. (2022). Regularization-free multicriteria optimization of polymer viscoelasticity model. Applied Soft Computing, 124, 1-18. doi:10.1016/j.asoc.2022.109040
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      Monaco FJ, Denysiuk R, Delbem ACB, Gaspar-Cunha A. Regularization-free multicriteria optimization of polymer viscoelasticity model [Internet]. Applied Soft Computing. 2022 ; 124 1-18.[citado 2024 out. 02 ] Available from: https://doi.org/10.1016/j.asoc.2022.109040
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      Monaco FJ, Denysiuk R, Delbem ACB, Gaspar-Cunha A. Regularization-free multicriteria optimization of polymer viscoelasticity model [Internet]. Applied Soft Computing. 2022 ; 124 1-18.[citado 2024 out. 02 ] Available from: https://doi.org/10.1016/j.asoc.2022.109040
  • 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: 02 out. 2024.
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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 2024 out. 02 ] 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 2024 out. 02 ] Available from: https://doi.org/10.1016/j.asoc.2021.107851
  • Source: Applied Soft Computing. Unidade: FFCLRP

    Subjects: ALGORITMOS, REDES NEURAIS, OPERADORES, ALGORITMOS GENÉTICOS

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      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: 02 out. 2024.
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      Tinós, R. (2020). Artificial neural network based crossover for evolutionary algorithms. Applied Soft Computing, 95. doi:10.1016/j.asoc.2020.106512
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      Tinós R. Artificial neural network based crossover for evolutionary algorithms [Internet]. Applied Soft Computing. 2020 ; 95[citado 2024 out. 02 ] Available from: https://doi.org/10.1016/j.asoc.2020.106512
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      Tinós R. Artificial neural network based crossover for evolutionary algorithms [Internet]. Applied Soft Computing. 2020 ; 95[citado 2024 out. 02 ] Available from: https://doi.org/10.1016/j.asoc.2020.106512
  • 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: 02 out. 2024.
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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 2024 out. 02 ] 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 2024 out. 02 ] 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: 02 out. 2024.
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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 2024 out. 02 ] Available from: https://doi.org/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 2024 out. 02 ] 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: 02 out. 2024.
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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 2024 out. 02 ] 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 2024 out. 02 ] Available from: https://doi.org/10.1016/j.asoc.2017.12.040
  • Source: Applied Soft Computing. Unidade: EP

    Subjects: CONTROLADORES DIGITAIS, OTIMIZAÇÃO MATEMÁTICA

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      COSTA, Bruno Leandro Galvão et al. Metaheuristics optimization applied to PI controllers tuning of a DTC-SVM drive for three-phase induction motors. Applied Soft Computing, v. 62, n. Ja 2018, p. 776-788, 2018Tradução . . Disponível em: https://doi.org/10.1016/j.asoc.2017.09.007. Acesso em: 02 out. 2024.
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      Costa, B. L. G., Graciola, C. L., Castoldi, M. F., Goedtel, A., & Angélico, B. A. (2018). Metaheuristics optimization applied to PI controllers tuning of a DTC-SVM drive for three-phase induction motors. Applied Soft Computing, 62( Ja 2018), 776-788. doi:10.1016/j.asoc.2017.09.007
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      Costa BLG, Graciola CL, Castoldi MF, Goedtel A, Angélico BA. Metaheuristics optimization applied to PI controllers tuning of a DTC-SVM drive for three-phase induction motors [Internet]. Applied Soft Computing. 2018 ; 62( Ja 2018): 776-788.[citado 2024 out. 02 ] Available from: https://doi.org/10.1016/j.asoc.2017.09.007
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      Costa BLG, Graciola CL, Castoldi MF, Goedtel A, Angélico BA. Metaheuristics optimization applied to PI controllers tuning of a DTC-SVM drive for three-phase induction motors [Internet]. Applied Soft Computing. 2018 ; 62( Ja 2018): 776-788.[citado 2024 out. 02 ] Available from: https://doi.org/10.1016/j.asoc.2017.09.007
  • 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: 02 out. 2024.
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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 2024 out. 02 ] Available from: https://doi.org/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 2024 out. 02 ] Available from: https://doi.org/10.1016/j.asoc.2016.08.035
  • 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: 02 out. 2024.
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      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
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      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 out. 02 ] Available from: https://doi.org/10.1016/j.asoc.2015.10.061
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      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 out. 02 ] Available from: https://doi.org/10.1016/j.asoc.2015.10.061
  • Source: Applied Soft Computing. Unidade: EESC

    Subjects: MOTORES DE INDUÇÃO, FALHA (PREVISÃO)

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      GODOY, Wagner Fontes et al. Evaluation of stator winding faults severity in inverter-fed induction motors. Applied Soft Computing, v. 32, p. 420-431, 2015Tradução . . Disponível em: https://doi.org/10.1016/j.asoc.2015.03.053. Acesso em: 02 out. 2024.
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      Godoy, W. F., Silva, I. N. da, Goedtel, A., & Palácios, R. H. C. (2015). Evaluation of stator winding faults severity in inverter-fed induction motors. Applied Soft Computing, 32, 420-431. doi:10.1016/j.asoc.2015.03.053
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      Godoy WF, Silva IN da, Goedtel A, Palácios RHC. Evaluation of stator winding faults severity in inverter-fed induction motors [Internet]. Applied Soft Computing. 2015 ; 32 420-431.[citado 2024 out. 02 ] Available from: https://doi.org/10.1016/j.asoc.2015.03.053
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      Godoy WF, Silva IN da, Goedtel A, Palácios RHC. Evaluation of stator winding faults severity in inverter-fed induction motors [Internet]. Applied Soft Computing. 2015 ; 32 420-431.[citado 2024 out. 02 ] Available from: https://doi.org/10.1016/j.asoc.2015.03.053
  • Source: Applied Soft Computing. Unidade: EESC

    Subjects: TOMADA DE DECISÃO, GESTÃO DO FORNECIMENTO, ENGENHARIA DE PRODUÇÃO

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      LIMA JUNIOR, Francisco Rodrigues e OSIRO, Lauro e CARPINETTI, Luiz Cesar Ribeiro. A comparison between Fuzzy AHP and Fuzzy TOPSIS methods to supplier selection. Applied Soft Computing, v. 21, p. 194-209, 2014Tradução . . Disponível em: https://doi.org/10.1016/j.asoc.2014.03.014. Acesso em: 02 out. 2024.
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      Lima Junior, F. R., Osiro, L., & Carpinetti, L. C. R. (2014). A comparison between Fuzzy AHP and Fuzzy TOPSIS methods to supplier selection. Applied Soft Computing, 21, 194-209. doi:10.1016/j.asoc.2014.03.014
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      Lima Junior FR, Osiro L, Carpinetti LCR. A comparison between Fuzzy AHP and Fuzzy TOPSIS methods to supplier selection [Internet]. Applied Soft Computing. 2014 ; 21 194-209.[citado 2024 out. 02 ] Available from: https://doi.org/10.1016/j.asoc.2014.03.014
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      Lima Junior FR, Osiro L, Carpinetti LCR. A comparison between Fuzzy AHP and Fuzzy TOPSIS methods to supplier selection [Internet]. Applied Soft Computing. 2014 ; 21 194-209.[citado 2024 out. 02 ] Available from: https://doi.org/10.1016/j.asoc.2014.03.014
  • 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: 02 out. 2024.
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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 2024 out. 02 ] 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 2024 out. 02 ] Available from: https://doi.org/10.1016/j.asoc.2014.06.005
  • 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: 02 out. 2024.
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      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
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      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 2024 out. 02 ] Available from: https://doi.org/10.1016/j.asoc.2012.08.043
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      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 2024 out. 02 ] Available from: https://doi.org/10.1016/j.asoc.2012.08.043
  • Source: Applied Soft Computing. Unidade: EESC

    Assunto: LÓGICA FUZZY

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      LIMA JUNIOR, Francisco Rodrigues e OSIRO, Lauro e CARPINETTI, Luiz Cesar Ribeiro. A fuzzy inference and categorization approach for supplier selection using compensatory and non-compensatory decision rules. Applied Soft Computing, v. 13, n. 10, p. 4133-4147, 2013Tradução . . Disponível em: https://doi.org/10.1016/j.asoc.2013.06.020. Acesso em: 02 out. 2024.
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      Lima Junior, F. R., Osiro, L., & Carpinetti, L. C. R. (2013). A fuzzy inference and categorization approach for supplier selection using compensatory and non-compensatory decision rules. Applied Soft Computing, 13( 10), 4133-4147. doi:10.1016/j.asoc.2013.06.020
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      Lima Junior FR, Osiro L, Carpinetti LCR. A fuzzy inference and categorization approach for supplier selection using compensatory and non-compensatory decision rules [Internet]. Applied Soft Computing. 2013 ; 13( 10): 4133-4147.[citado 2024 out. 02 ] Available from: https://doi.org/10.1016/j.asoc.2013.06.020
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      Lima Junior FR, Osiro L, Carpinetti LCR. A fuzzy inference and categorization approach for supplier selection using compensatory and non-compensatory decision rules [Internet]. Applied Soft Computing. 2013 ; 13( 10): 4133-4147.[citado 2024 out. 02 ] Available from: https://doi.org/10.1016/j.asoc.2013.06.020
  • 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: 02 out. 2024.
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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 2024 out. 02 ] 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 2024 out. 02 ] Available from: https://doi.org/10.1016/j.asoc.2012.03.074
  • Source: Applied Soft Computing. Unidade: ICMC

    Assunto: INTELIGÊNCIA ARTIFICIAL

    Acesso à fonteDOIHow to cite
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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: 02 out. 2024.
    • APA

      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 2024 out. 02 ] Available from: https://doi.org/10.1016/j.asoc.2010.06.010
    • Vancouver

      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 2024 out. 02 ] Available from: https://doi.org/10.1016/j.asoc.2010.06.010
  • Source: Applied Soft Computing. Unidade: EESC

    Subjects: REDES NEURAIS, ELETRÔNICA DE POTÊNCIA

    Acesso à fonteDOIHow to cite
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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: 02 out. 2024.
    • APA

      Nascimento, C. F. do, Oliveira Junior, 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 Junior 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 2024 out. 02 ] Available from: https://doi.org/10.1016/j.asoc.2010.07.017
    • Vancouver

      Nascimento CF do, Oliveira Junior 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 2024 out. 02 ] Available from: https://doi.org/10.1016/j.asoc.2010.07.017

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