Filtros : "Applied Soft Computing" Removido: "APRENDIZADO COMPUTACIONAL" Limpar

Filtros



Refine with date range


  • Source: Applied Soft Computing. Unidade: IME

    Subjects: REDES NEURAIS, RECONHECIMENTO DE IMAGEM

    Versão PublicadaAcesso à fonteDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
    • ABNT

      LYRA, Lucas O. e FABRIS, Antonio Elias e FLORINDO, Joao B. A multilevel pooling scheme in convolutional neural networks for texture image recognition. Applied Soft Computing, v. 152, n. artigo 111282, p. 1-14, 2024Tradução . . Disponível em: https://doi.org/10.1016/j.asoc.2024.111282. Acesso em: 02 out. 2024.
    • APA

      Lyra, L. O., Fabris, A. E., & Florindo, J. B. (2024). A multilevel pooling scheme in convolutional neural networks for texture image recognition. Applied Soft Computing, 152( artigo 111282), 1-14. doi:10.1016/j.asoc.2024.111282
    • NLM

      Lyra LO, Fabris AE, Florindo JB. A multilevel pooling scheme in convolutional neural networks for texture image recognition [Internet]. Applied Soft Computing. 2024 ; 152( artigo 111282): 1-14.[citado 2024 out. 02 ] Available from: https://doi.org/10.1016/j.asoc.2024.111282
    • Vancouver

      Lyra LO, Fabris AE, Florindo JB. A multilevel pooling scheme in convolutional neural networks for texture image recognition [Internet]. Applied Soft Computing. 2024 ; 152( artigo 111282): 1-14.[citado 2024 out. 02 ] Available from: https://doi.org/10.1016/j.asoc.2024.111282
  • Source: Applied Soft Computing. Unidade: EP

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

    PrivadoAcesso à fonteDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
    • ABNT

      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: 02 out. 2024.
    • APA

      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
    • NLM

      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 2024 out. 02 ] 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 2024 out. 02 ] Available from: https://doi.org/10.1016/j.asoc.2022.109927
  • Source: Applied Soft Computing. Unidade: IME

    Assunto: ANÁLISE MULTIVARIADA

    Versão PublicadaAcesso à fonteDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
    • ABNT

      CABEZAS, Luben M. C. e IZBICKI, Rafael e STERN, Rafael Bassi. Hierarchical clustering: visualization, feature importance and model selection. Applied Soft Computing, v. 141, n. artigo 110303, p. 1-12, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.asoc.2023.110303. Acesso em: 02 out. 2024.
    • APA

      Cabezas, L. M. C., Izbicki, R., & Stern, R. B. (2023). Hierarchical clustering: visualization, feature importance and model selection. Applied Soft Computing, 141( artigo 110303), 1-12. doi:10.1016/j.asoc.2023.110303
    • NLM

      Cabezas LMC, Izbicki R, Stern RB. Hierarchical clustering: visualization, feature importance and model selection [Internet]. Applied Soft Computing. 2023 ; 141( artigo 110303): 1-12.[citado 2024 out. 02 ] Available from: https://doi.org/10.1016/j.asoc.2023.110303
    • Vancouver

      Cabezas LMC, Izbicki R, Stern RB. Hierarchical clustering: visualization, feature importance and model selection [Internet]. Applied Soft Computing. 2023 ; 141( artigo 110303): 1-12.[citado 2024 out. 02 ] Available from: https://doi.org/10.1016/j.asoc.2023.110303
  • Source: Applied Soft Computing. Unidade: EP

    Subjects: EDIFÍCIOS INTELIGENTES, SISTEMAS DE CONTROLE

    Acesso à fonteDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
    • ABNT

      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.
    • APA

      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
    • NLM

      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
    • Vancouver

      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. Unidades: IFSC, ICMC

    Subjects: REDES COMPLEXAS, VISÃO COMPUTACIONAL, REDES NEURAIS

    Versão AceitaAcesso à fonteDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
    • 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: 02 out. 2024.
    • 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 2024 out. 02 ] 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 2024 out. 02 ] Available from: https://doi.org/10.1016/j.asoc.2021.108035
  • Source: Applied Soft Computing. Unidade: ICMC

    Subjects: ALGORITMOS GENÉTICOS, PROGRAMAÇÃO GENÉTICA, JOGOS DE COMPUTADOR

    PrivadoAcesso à fonteDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
    • ABNT

      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.
    • APA

      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
    • NLM

      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
    • Vancouver

      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

    PrivadoAcesso à fonteDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
    • ABNT

      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.
    • APA

      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
    • NLM

      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
    • Vancouver

      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: JOGOS DE COMPUTADOR, OTIMIZAÇÃO RESTRITA, ALGORITMOS GENÉTICOS

    PrivadoAcesso à fonteDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
    • ABNT

      VIANA, Breno Mauricio de Freitas et al. Feasible-infeasible two-population genetic algorithm to evolve dungeon levels with dependencies in barrier mechanics. Applied Soft Computing, v. 119, p. 1-16, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.asoc.2022.108586. Acesso em: 02 out. 2024.
    • APA

      Viana, B. M. de F., Pereira, L. T., Toledo, C. F. M., Santos, S. R. dos, & Maia, S. M. D. M. (2022). Feasible-infeasible two-population genetic algorithm to evolve dungeon levels with dependencies in barrier mechanics. Applied Soft Computing, 119, 1-16. doi:10.1016/j.asoc.2022.108586
    • NLM

      Viana BM de F, Pereira LT, Toledo CFM, Santos SR dos, Maia SMDM. Feasible-infeasible two-population genetic algorithm to evolve dungeon levels with dependencies in barrier mechanics [Internet]. Applied Soft Computing. 2022 ; 119 1-16.[citado 2024 out. 02 ] Available from: https://doi.org/10.1016/j.asoc.2022.108586
    • Vancouver

      Viana BM de F, Pereira LT, Toledo CFM, Santos SR dos, Maia SMDM. Feasible-infeasible two-population genetic algorithm to evolve dungeon levels with dependencies in barrier mechanics [Internet]. Applied Soft Computing. 2022 ; 119 1-16.[citado 2024 out. 02 ] Available from: https://doi.org/10.1016/j.asoc.2022.108586
  • Source: Applied Soft Computing. Unidade: ICMC

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

    PrivadoAcesso à fonteDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
    • ABNT

      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: 02 out. 2024.
    • APA

      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
    • NLM

      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 2024 out. 02 ] Available from: https://doi.org/10.1016/j.asoc.2021.108011
    • Vancouver

      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 2024 out. 02 ] Available from: https://doi.org/10.1016/j.asoc.2021.108011
  • Source: Applied Soft Computing. Unidade: ICMC

    Subjects: RECONHECIMENTO DE IMAGEM, REDES NEURAIS

    PrivadoAcesso à fonteDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
    • ABNT

      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.
    • APA

      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 2024 out. 02 ] 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 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

    Acesso à fonteDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
    • 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: 02 out. 2024.
    • 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 2024 out. 02 ] 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 2024 out. 02 ] Available from: https://doi.org/10.1016/j.asoc.2020.106512
  • Source: Applied Soft Computing. Unidade: ICMC

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

    Versão AceitaAcesso à fonteDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
    • ABNT

      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.
    • APA

      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
    • NLM

      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
    • 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 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

    Acesso à fonteDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
    • ABNT

      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.
    • APA

      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 2024 out. 02 ] 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 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

    Acesso à fonteDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
    • ABNT

      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.
    • APA

      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
    • NLM

      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
    • 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 2024 out. 02 ] Available from: https://doi.org/10.1016/j.asoc.2017.09.007
  • Source: Applied Soft Computing. Unidade: EESC

    Subjects: HEURÍSTICA, ENGENHARIA ELÉTRICA

    Acesso à fonteDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
    • ABNT

      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: 02 out. 2024.
    • APA

      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
    • NLM

      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 2024 out. 02 ] 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 2024 out. 02 ] Available from: https://doi.org/10.1016/j.asoc.2017.02.017
  • Source: Applied Soft Computing. Unidade: ICMC

    Subjects: SISTEMAS EMBUTIDOS, COMPUTAÇÃO EVOLUTIVA, ROBÓTICA

    Acesso à fonteDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
    • ABNT

      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.
    • APA

      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 2024 out. 02 ] 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 2024 out. 02 ] Available from: https://doi.org/10.1016/j.asoc.2016.08.035
  • Source: Applied Soft Computing. Unidade: ICMC

    Subjects: SISTEMAS EMBUTIDOS, COMPUTAÇÃO EVOLUTIVA, ROBÓTICA

    Acesso à fonteDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
    • ABNT

      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: 02 out. 2024.
    • APA

      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 2024 out. 02 ] 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 2024 out. 02 ] Available from: https://doi.org/10.1016/j.asoc.2015.09.013
  • Source: Applied Soft Computing. Unidade: EESC

    Subjects: MOTORES DE INDUÇÃO, RECONHECIMENTO DE PADRÕES, AUTOMÓVEIS, SISTEMAS MULTIAGENTES

    Acesso à fonteDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
    • ABNT

      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: 02 out. 2024.
    • 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 2024 out. 02 ] 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 2024 out. 02 ] Available from: https://doi.org/10.1016/j.asoc.2016.04.018
  • Source: Applied Soft Computing. Unidade: EESC

    Subjects: SISTEMAS ELÉTRICOS DE POTÊNCIA, ANÁLISE DE ONDALETAS, ENERGIA ELÉTRICA, ENGENHARIA ELÉTRICA

    Acesso à fonteDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
    • ABNT

      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.
    • APA

      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
    • NLM

      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
    • 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 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)

    Acesso à fonteDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
    • ABNT

      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.
    • 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 2024 out. 02 ] 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 2024 out. 02 ] Available from: https://doi.org/10.1016/j.asoc.2015.03.053

Digital Library of Intellectual Production of Universidade de São Paulo     2012 - 2024