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  • Source: Applied Soft Computing. Unidade: EP

    Subjects: APRENDIZADO COMPUTACIONAL, ANÁLISE DE SÉRIES TEMPORAIS, REDES NEURAIS

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      BARROS, Marcel Rodrigues de et al. Embracing data irregularities in multivariate time series. Applied Soft Computing, v. 186, n. Ja 2026, p. 1-14, 2026Tradução . . Disponível em: https://doi.org/10.1016/j.asoc.2025.114039. Acesso em: 19 nov. 2025.
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      Barros, M. R. de, Fontenele, L. P., Silva, M. S., Rissi, T. L., Cabrera, E. F., Tannuri, E. A., et al. (2026). Embracing data irregularities in multivariate time series. Applied Soft Computing, 186( Ja 2026), 1-14. doi:10.1016/j.asoc.2025.114039
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      Barros MR de, Fontenele LP, Silva MS, Rissi TL, Cabrera EF, Tannuri EA, Gomi ES, Barreira RA, Reali Costa AH. Embracing data irregularities in multivariate time series [Internet]. Applied Soft Computing. 2026 ; 186( Ja 2026): 1-14.[citado 2025 nov. 19 ] Available from: https://doi.org/10.1016/j.asoc.2025.114039
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      Barros MR de, Fontenele LP, Silva MS, Rissi TL, Cabrera EF, Tannuri EA, Gomi ES, Barreira RA, Reali Costa AH. Embracing data irregularities in multivariate time series [Internet]. Applied Soft Computing. 2026 ; 186( Ja 2026): 1-14.[citado 2025 nov. 19 ] Available from: https://doi.org/10.1016/j.asoc.2025.114039
  • Source: Applied Soft Computing. Unidade: ICMC

    Subjects: APRENDIZADO COMPUTACIONAL, ALGORITMOS GENÉTICOS

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      FERRANDIN, Mauri e CERRI, Ricardo. Ensemble multi-label classification using closed frequent labelsets and label taxonomies. Applied Soft Computing, v. 171, p. 1-12, 2025Tradução . . Disponível em: https://doi.org/10.1016/j.asoc.2025.112853. Acesso em: 19 nov. 2025.
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      Ferrandin, M., & Cerri, R. (2025). Ensemble multi-label classification using closed frequent labelsets and label taxonomies. Applied Soft Computing, 171, 1-12. doi:10.1016/j.asoc.2025.112853
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      Ferrandin M, Cerri R. Ensemble multi-label classification using closed frequent labelsets and label taxonomies [Internet]. Applied Soft Computing. 2025 ; 171 1-12.[citado 2025 nov. 19 ] Available from: https://doi.org/10.1016/j.asoc.2025.112853
    • Vancouver

      Ferrandin M, Cerri R. Ensemble multi-label classification using closed frequent labelsets and label taxonomies [Internet]. Applied Soft Computing. 2025 ; 171 1-12.[citado 2025 nov. 19 ] Available from: https://doi.org/10.1016/j.asoc.2025.112853
  • Source: Applied Soft Computing. Unidade: ICMC

    Subjects: APRENDIZADO COMPUTACIONAL, COMPONENTES PRINCIPAIS

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      HORVÁTH, Tomás e MANTOVANI, Rafael Gomes e CARVALHO, André Carlos Ponce de Leon Ferreira de. Hyper-parameter initialization of classification algorithms using dynamic time warping: a perspective on PCA meta-features. Applied Soft Computing, v. 134, p. 1-17, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.asoc.2022.109969. Acesso em: 19 nov. 2025.
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      Horváth, T., Mantovani, R. G., & Carvalho, A. C. P. de L. F. de. (2023). Hyper-parameter initialization of classification algorithms using dynamic time warping: a perspective on PCA meta-features. Applied Soft Computing, 134, 1-17. doi:10.1016/j.asoc.2022.109969
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      Horváth T, Mantovani RG, Carvalho ACP de LF de. Hyper-parameter initialization of classification algorithms using dynamic time warping: a perspective on PCA meta-features [Internet]. Applied Soft Computing. 2023 ; 134 1-17.[citado 2025 nov. 19 ] Available from: https://doi.org/10.1016/j.asoc.2022.109969
    • Vancouver

      Horváth T, Mantovani RG, Carvalho ACP de LF de. Hyper-parameter initialization of classification algorithms using dynamic time warping: a perspective on PCA meta-features [Internet]. Applied Soft Computing. 2023 ; 134 1-17.[citado 2025 nov. 19 ] Available from: https://doi.org/10.1016/j.asoc.2022.109969
  • Source: Applied Soft Computing. Unidade: EP

    Subjects: LÓGICA PARACONSISTENTE, REDES NEURAIS, SISTEMAS DE CONTROLE, OTIMIZAÇÃO NÃO LINEAR

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      CARVALHO JÚNIOR, Arnaldo de et al. Model reference control by recurrent neural network built with paraconsistent neurons for trajectory tracking of a rotary inverted pendulum. Applied Soft Computing, v. 133, n. Ja 2023, p. 1-12, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.asoc.2022.109927. Acesso em: 19 nov. 2025.
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      Carvalho Júnior, A. de, Angélico, B. A., Justo Filho, J. F., Oliveira, A. M. de, & Silva Filho, J. I. da. (2023). Model reference control by recurrent neural network built with paraconsistent neurons for trajectory tracking of a rotary inverted pendulum. Applied Soft Computing, 133( Ja 2023), 1-12. doi:10.1016/j.asoc.2022.109927
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      Carvalho Júnior A de, Angélico BA, Justo Filho JF, Oliveira AM de, Silva Filho JI da. Model reference control by recurrent neural network built with paraconsistent neurons for trajectory tracking of a rotary inverted pendulum [Internet]. Applied Soft Computing. 2023 ; 133( Ja 2023): 1-12.[citado 2025 nov. 19 ] Available from: https://doi.org/10.1016/j.asoc.2022.109927
    • Vancouver

      Carvalho Júnior A de, Angélico BA, Justo Filho JF, Oliveira AM de, Silva Filho JI da. Model reference control by recurrent neural network built with paraconsistent neurons for trajectory tracking of a rotary inverted pendulum [Internet]. Applied Soft Computing. 2023 ; 133( Ja 2023): 1-12.[citado 2025 nov. 19 ] Available from: https://doi.org/10.1016/j.asoc.2022.109927
  • 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: 19 nov. 2025.
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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 2025 nov. 19 ] 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 2025 nov. 19 ] Available from: https://doi.org/10.1016/j.asoc.2021.108310
  • 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: 19 nov. 2025.
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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 2025 nov. 19 ] 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 2025 nov. 19 ] Available from: https://doi.org/10.1016/j.asoc.2022.109040
  • Source: Applied Soft Computing. Unidade: ICMC

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

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      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: 19 nov. 2025.
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      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
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      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. 19 ] 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. 19 ] 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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      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: 19 nov. 2025.
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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 2025 nov. 19 ] 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 2025 nov. 19 ] 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: 19 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. 19 ] Available from: https://doi.org/10.1016/j.asoc.2019.04.013
    • Vancouver

      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. 19 ] Available from: https://doi.org/10.1016/j.asoc.2019.04.013
  • Source: Applied Soft Computing. Unidade: ICMC

    Subjects: APRENDIZADO COMPUTACIONAL, ALGORITMOS GENÉTICOS, RECONHECIMENTO DE PADRÕES

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      CERRI, Ricardo et al. Inducing hierarchical multi-label classification rules with genetic algorithms. Applied Soft Computing, v. 77, p. 584-604, 2019Tradução . . Disponível em: https://doi.org/10.1016/j.asoc.2019.01.017. Acesso em: 19 nov. 2025.
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      Cerri, R., Basgalupp, M. P., Barros, R. C., & Carvalho, A. C. P. de L. F. de. (2019). Inducing hierarchical multi-label classification rules with genetic algorithms. Applied Soft Computing, 77, 584-604. doi:10.1016/j.asoc.2019.01.017
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      Cerri R, Basgalupp MP, Barros RC, Carvalho ACP de LF de. Inducing hierarchical multi-label classification rules with genetic algorithms [Internet]. Applied Soft Computing. 2019 ; 77 584-604.[citado 2025 nov. 19 ] Available from: https://doi.org/10.1016/j.asoc.2019.01.017
    • Vancouver

      Cerri R, Basgalupp MP, Barros RC, Carvalho ACP de LF de. Inducing hierarchical multi-label classification rules with genetic algorithms [Internet]. Applied Soft Computing. 2019 ; 77 584-604.[citado 2025 nov. 19 ] Available from: https://doi.org/10.1016/j.asoc.2019.01.017
  • 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: 19 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. 19 ] 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 2025 nov. 19 ] 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: 19 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. 19 ] 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. 19 ] 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: 19 nov. 2025.
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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 2025 nov. 19 ] Available from: https://doi.org/10.1016/j.asoc.2017.09.007
    • Vancouver

      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 2025 nov. 19 ] Available from: https://doi.org/10.1016/j.asoc.2017.09.007
  • 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: 19 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. 19 ] Available from: https://doi.org/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. 19 ] 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: 19 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. 19 ] 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. 19 ] 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: 19 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. 19 ] 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. 19 ] Available from: https://doi.org/10.1016/j.asoc.2015.09.013
  • 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: 19 nov. 2025.
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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 2025 nov. 19 ] 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 2025 nov. 19 ] Available from: https://doi.org/10.1016/j.asoc.2015.10.061
  • 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: 19 nov. 2025.
    • APA

      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 2025 nov. 19 ] 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 2025 nov. 19 ] Available from: https://doi.org/10.1016/j.asoc.2016.04.018
  • 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: 19 nov. 2025.
    • APA

      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
    • NLM

      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 2025 nov. 19 ] Available from: https://doi.org/10.1016/j.asoc.2015.03.053
    • Vancouver

      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 2025 nov. 19 ] Available from: https://doi.org/10.1016/j.asoc.2015.03.053
  • Source: Applied Soft Computing. Unidades: EP, EESC

    Subjects: MOTORES DE INDUÇÃO, LÓGICA FUZZY

    Acesso à fonteDOIHow to cite
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      LIMA, Fábio et al. Open-loop neuro-fuzzy speed estimator applied to vector and scalar induction motor drives. Applied Soft Computing, v. 21, p. 469-480, 2014Tradução . . Disponível em: https://doi.org/10.1016/j.asoc.2014.03.044. Acesso em: 19 nov. 2025.
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      Lima, F., Kaiser, W., Silva, I. N. da, & Oliveira Júnior, A. A. de. (2014). Open-loop neuro-fuzzy speed estimator applied to vector and scalar induction motor drives. Applied Soft Computing, 21, 469-480. doi:10.1016/j.asoc.2014.03.044
    • NLM

      Lima F, Kaiser W, Silva IN da, Oliveira Júnior AA de. Open-loop neuro-fuzzy speed estimator applied to vector and scalar induction motor drives [Internet]. Applied Soft Computing. 2014 ; 21 469-480.[citado 2025 nov. 19 ] Available from: https://doi.org/10.1016/j.asoc.2014.03.044
    • Vancouver

      Lima F, Kaiser W, Silva IN da, Oliveira Júnior AA de. Open-loop neuro-fuzzy speed estimator applied to vector and scalar induction motor drives [Internet]. Applied Soft Computing. 2014 ; 21 469-480.[citado 2025 nov. 19 ] Available from: https://doi.org/10.1016/j.asoc.2014.03.044

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