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  • Source: Journal of Control, Automation and Electrical Systems. Unidade: EESC

    Subjects: LINHAS DE TRANSMISSÃO DE ENERGIA ELÉTRICA, FALHA, REDES NEURAIS, PROTEÇÃO DE SISTEMAS ELÉTRICOS, ENGENHARIA ELÉTRICA

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    • ABNT

      MERLIN, Victor Luiz et al. A new accurate and robust method based on deep neural networks for fault location in HVDC systems. Journal of Control, Automation and Electrical Systems, p. 1-16, 2025Tradução . . Disponível em: http://dx.doi.org/10.1007/s40313-025-01165-6. Acesso em: 18 nov. 2025.
    • APA

      Merlin, V. L., Santos, R. C. dos, Pavani, A. P. G., & Vieira Júnior, J. C. de M. (2025). A new accurate and robust method based on deep neural networks for fault location in HVDC systems. Journal of Control, Automation and Electrical Systems, 1-16. doi:10.1007/s40313-025-01165-6
    • NLM

      Merlin VL, Santos RC dos, Pavani APG, Vieira Júnior JC de M. A new accurate and robust method based on deep neural networks for fault location in HVDC systems [Internet]. Journal of Control, Automation and Electrical Systems. 2025 ; 1-16.[citado 2025 nov. 18 ] Available from: http://dx.doi.org/10.1007/s40313-025-01165-6
    • Vancouver

      Merlin VL, Santos RC dos, Pavani APG, Vieira Júnior JC de M. A new accurate and robust method based on deep neural networks for fault location in HVDC systems [Internet]. Journal of Control, Automation and Electrical Systems. 2025 ; 1-16.[citado 2025 nov. 18 ] Available from: http://dx.doi.org/10.1007/s40313-025-01165-6
  • Source: Journal of Control, Automation and Electrical Systems. Unidade: EP

    Subjects: REDES NEURAIS, APRENDIZADO COMPUTACIONAL, ROBÓTICA

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      SILVA, Isaac José da et al. Intelligent Techniques Laboratory, Universidade de São Paulo (USP), São Paulo 05508-900. Journal of Control, Automation and Electrical Systems, v. 32, p. 884–894, 2021Tradução . . Disponível em: https://doi.org/10.1007/s40313-021-00719-8. Acesso em: 18 nov. 2025.
    • APA

      Silva, I. J. da, Vilão Junior, C. O., Reali Costa, A. H., & Bianchi, R. A. da C. (2021). Intelligent Techniques Laboratory, Universidade de São Paulo (USP), São Paulo 05508-900. Journal of Control, Automation and Electrical Systems, 32, 884–894. doi:10.1007/s40313-021-00719-8
    • NLM

      Silva IJ da, Vilão Junior CO, Reali Costa AH, Bianchi RA da C. Intelligent Techniques Laboratory, Universidade de São Paulo (USP), São Paulo 05508-900 [Internet]. Journal of Control, Automation and Electrical Systems. 2021 ;32 884–894.[citado 2025 nov. 18 ] Available from: https://doi.org/10.1007/s40313-021-00719-8
    • Vancouver

      Silva IJ da, Vilão Junior CO, Reali Costa AH, Bianchi RA da C. Intelligent Techniques Laboratory, Universidade de São Paulo (USP), São Paulo 05508-900 [Internet]. Journal of Control, Automation and Electrical Systems. 2021 ;32 884–894.[citado 2025 nov. 18 ] Available from: https://doi.org/10.1007/s40313-021-00719-8
  • Source: Journal of Control, Automation and Electrical Systems. Unidade: EP

    Subjects: ROBÓTICA, REDES NEURAIS, CONTROLADORES PROGRAMÁVEIS

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      SILVA, Isaac José da et al. Toward robotic cognition by means of decision tree of deep neural networks applied in a humanoid robot. Journal of Control, Automation and Electrical Systems, v. 32, n. 4, p. 884-894, 2021Tradução . . Disponível em: https://doi.org/10.1007/s40313-021-00719-8. Acesso em: 18 nov. 2025.
    • APA

      Silva, I. J. da, Vilão Junior, C. O., Reali Costa, A. H., & Bianchi, R. A. da C. (2021). Toward robotic cognition by means of decision tree of deep neural networks applied in a humanoid robot. Journal of Control, Automation and Electrical Systems, 32( 4), 884-894. doi:10.1007/s40313-021-00719-8
    • NLM

      Silva IJ da, Vilão Junior CO, Reali Costa AH, Bianchi RA da C. Toward robotic cognition by means of decision tree of deep neural networks applied in a humanoid robot [Internet]. Journal of Control, Automation and Electrical Systems. 2021 ; 32( 4): 884-894.[citado 2025 nov. 18 ] Available from: https://doi.org/10.1007/s40313-021-00719-8
    • Vancouver

      Silva IJ da, Vilão Junior CO, Reali Costa AH, Bianchi RA da C. Toward robotic cognition by means of decision tree of deep neural networks applied in a humanoid robot [Internet]. Journal of Control, Automation and Electrical Systems. 2021 ; 32( 4): 884-894.[citado 2025 nov. 18 ] Available from: https://doi.org/10.1007/s40313-021-00719-8
  • Source: Journal of Control, Automation and Electrical Systems. Unidade: EESC

    Subjects: REDES NEURAIS, FALHA, PROTOCOLOS DE COMUNICAÇÃO, ENGENHARIA ELÉTRICA

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      TURCATO, Afonso Celso et al. A cloud-based method for detecting intrusions in PROFINET communication networks based on anomaly detection. Journal of Control, Automation and Electrical Systems, p. 1-16, 2021Tradução . . Disponível em: https://doi.org/10.1007/s40313-021-00747-4. Acesso em: 18 nov. 2025.
    • APA

      Turcato, A. C., Negri, L. H. B. L., Dias, A. L., Sestito, G. S., & Flauzino, R. A. (2021). A cloud-based method for detecting intrusions in PROFINET communication networks based on anomaly detection. Journal of Control, Automation and Electrical Systems, 1-16. doi:10.1007/s40313-021-00747-4
    • NLM

      Turcato AC, Negri LHBL, Dias AL, Sestito GS, Flauzino RA. A cloud-based method for detecting intrusions in PROFINET communication networks based on anomaly detection [Internet]. Journal of Control, Automation and Electrical Systems. 2021 ; 1-16.[citado 2025 nov. 18 ] Available from: https://doi.org/10.1007/s40313-021-00747-4
    • Vancouver

      Turcato AC, Negri LHBL, Dias AL, Sestito GS, Flauzino RA. A cloud-based method for detecting intrusions in PROFINET communication networks based on anomaly detection [Internet]. Journal of Control, Automation and Electrical Systems. 2021 ; 1-16.[citado 2025 nov. 18 ] Available from: https://doi.org/10.1007/s40313-021-00747-4
  • Source: Journal of Control, Automation and Electrical Systems. Unidade: FEA

    Subjects: INTELIGÊNCIA ARTIFICIAL, PROCESSOS ESTOCÁSTICOS, REDES NEURAIS

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      FERNANDES NETO, Fernando et al. Generating stochastic processes through convolutional neural networks. Journal of Control, Automation and Electrical Systems, v. 31, n. 2, p. 294-303, 2020Tradução . . Disponível em: https://doi.org/10.1007/s40313-020-00567-y. Acesso em: 18 nov. 2025.
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      Fernandes Neto, F., Bueno, R. D. L. da S., Cavalcanti, P. D., & Admasu, A. S. (2020). Generating stochastic processes through convolutional neural networks. Journal of Control, Automation and Electrical Systems, 31( 2), 294-303. doi:10.1007/s40313-020-00567-y
    • NLM

      Fernandes Neto F, Bueno RDL da S, Cavalcanti PD, Admasu AS. Generating stochastic processes through convolutional neural networks [Internet]. Journal of Control, Automation and Electrical Systems. 2020 ; 31( 2): 294-303.[citado 2025 nov. 18 ] Available from: https://doi.org/10.1007/s40313-020-00567-y
    • Vancouver

      Fernandes Neto F, Bueno RDL da S, Cavalcanti PD, Admasu AS. Generating stochastic processes through convolutional neural networks [Internet]. Journal of Control, Automation and Electrical Systems. 2020 ; 31( 2): 294-303.[citado 2025 nov. 18 ] Available from: https://doi.org/10.1007/s40313-020-00567-y
  • Source: Journal of Control, Automation and Electrical Systems. Unidade: ICMC

    Subjects: RECONHECIMENTO DE PADRÕES, REDES NEURAIS, ALGORITMOS GENÉTICOS, TOPOLOGIA EM COMPUTAÇÃO, SINAIS BIOMÉDICOS

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      LIMA, Aron A. M et al. Optimized artificial neural network for biosignals classification using genetic algorithm. Journal of Control, Automation and Electrical Systems, v. 30, n. 3, p. 371-379, 2019Tradução . . Disponível em: https://doi.org/10.1007/s40313-019-00454-1. Acesso em: 18 nov. 2025.
    • APA

      Lima, A. A. M., Barros, F. K. H. de, Yoshizumi, V. H., Spatti, D. H., & Dajer, M. E. (2019). Optimized artificial neural network for biosignals classification using genetic algorithm. Journal of Control, Automation and Electrical Systems, 30( 3), 371-379. doi:10.1007/s40313-019-00454-1
    • NLM

      Lima AAM, Barros FKH de, Yoshizumi VH, Spatti DH, Dajer ME. Optimized artificial neural network for biosignals classification using genetic algorithm [Internet]. Journal of Control, Automation and Electrical Systems. 2019 ; 30( 3): 371-379.[citado 2025 nov. 18 ] Available from: https://doi.org/10.1007/s40313-019-00454-1
    • Vancouver

      Lima AAM, Barros FKH de, Yoshizumi VH, Spatti DH, Dajer ME. Optimized artificial neural network for biosignals classification using genetic algorithm [Internet]. Journal of Control, Automation and Electrical Systems. 2019 ; 30( 3): 371-379.[citado 2025 nov. 18 ] Available from: https://doi.org/10.1007/s40313-019-00454-1
  • Source: Journal of Control, Automation and Electrical Systems. Unidades: ICMC, EESC, EP

    Subjects: DISTRIBUIÇÃO DE ENERGIA ELÉTRICA, REDES NEURAIS, SISTEMAS ESPECIALISTAS

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      SPATTI, Danilo Hernane et al. Expert system for an optimized asset management in electric power transmission systems. Journal of Control, Automation and Electrical Systems, v. 30, n. 3, p. 434-440, 2019Tradução . . Disponível em: https://doi.org/10.1007/s40313-019-00451-4. Acesso em: 18 nov. 2025.
    • APA

      Spatti, D. H., Liboni, L. H. B., Flauzino, R. A., Bossolan, R. P., & Vitti, B. C. (2019). Expert system for an optimized asset management in electric power transmission systems. Journal of Control, Automation and Electrical Systems, 30( 3), 434-440. doi:10.1007/s40313-019-00451-4
    • NLM

      Spatti DH, Liboni LHB, Flauzino RA, Bossolan RP, Vitti BC. Expert system for an optimized asset management in electric power transmission systems [Internet]. Journal of Control, Automation and Electrical Systems. 2019 ; 30( 3): 434-440.[citado 2025 nov. 18 ] Available from: https://doi.org/10.1007/s40313-019-00451-4
    • Vancouver

      Spatti DH, Liboni LHB, Flauzino RA, Bossolan RP, Vitti BC. Expert system for an optimized asset management in electric power transmission systems [Internet]. Journal of Control, Automation and Electrical Systems. 2019 ; 30( 3): 434-440.[citado 2025 nov. 18 ] Available from: https://doi.org/10.1007/s40313-019-00451-4
  • Source: Journal of Control, Automation and Electrical Systems. Unidade: EESC

    Subjects: REDES NEURAIS, PROTEÇÃO DE SISTEMAS ELÉTRICOS

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      MERLIN, Victor Luiz et al. Artificial neural network based approach for anti-islanding protection of distributed generators. Journal of Control, Automation and Electrical Systems, v. 25, n. 3, p. 339-348, 2014Tradução . . Disponível em: https://doi.org/10.1007/s40313-013-0096-0. Acesso em: 18 nov. 2025.
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      Merlin, V. L., Santos, R. C. dos, Pavani, A. P. G., Coury, D. V., Oleskovicz, M., & Vieira Júnior, J. C. de M. (2014). Artificial neural network based approach for anti-islanding protection of distributed generators. Journal of Control, Automation and Electrical Systems, 25( 3), 339-348. doi:10.1007/s40313-013-0096-0
    • NLM

      Merlin VL, Santos RC dos, Pavani APG, Coury DV, Oleskovicz M, Vieira Júnior JC de M. Artificial neural network based approach for anti-islanding protection of distributed generators [Internet]. Journal of Control, Automation and Electrical Systems. 2014 ; 25( 3): 339-348.[citado 2025 nov. 18 ] Available from: https://doi.org/10.1007/s40313-013-0096-0
    • Vancouver

      Merlin VL, Santos RC dos, Pavani APG, Coury DV, Oleskovicz M, Vieira Júnior JC de M. Artificial neural network based approach for anti-islanding protection of distributed generators [Internet]. Journal of Control, Automation and Electrical Systems. 2014 ; 25( 3): 339-348.[citado 2025 nov. 18 ] Available from: https://doi.org/10.1007/s40313-013-0096-0
  • Source: Journal of Control, Automation and Electrical Systems. Unidade: EESC

    Subjects: REDES NEURAIS, ENERGIA ELÉTRICA (QUALIDADE), MOTORES DE INDUÇÃO

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      PALÁCIOS, Rodrigo Henrique Cunha et al. A robust neural method to estimate torque in three-phase induction motor. Journal of Control, Automation and Electrical Systems, v. 25, n. 4, p. 493-502, 2014Tradução . . Disponível em: https://doi.org/10.1007/s40313-014-0118-6. Acesso em: 18 nov. 2025.
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      Palácios, R. H. C., Silva, I. N. da, Goedtel, A., Godoy, W. F., & Oleskovicz, M. (2014). A robust neural method to estimate torque in three-phase induction motor. Journal of Control, Automation and Electrical Systems, 25( 4), 493-502. doi:10.1007/s40313-014-0118-6
    • NLM

      Palácios RHC, Silva IN da, Goedtel A, Godoy WF, Oleskovicz M. A robust neural method to estimate torque in three-phase induction motor [Internet]. Journal of Control, Automation and Electrical Systems. 2014 ; 25( 4): 493-502.[citado 2025 nov. 18 ] Available from: https://doi.org/10.1007/s40313-014-0118-6
    • Vancouver

      Palácios RHC, Silva IN da, Goedtel A, Godoy WF, Oleskovicz M. A robust neural method to estimate torque in three-phase induction motor [Internet]. Journal of Control, Automation and Electrical Systems. 2014 ; 25( 4): 493-502.[citado 2025 nov. 18 ] Available from: https://doi.org/10.1007/s40313-014-0118-6
  • Source: Journal of Control, Automation and Electrical Systems. Unidade: EESC

    Subjects: REDES NEURAIS, PROTEÇÃO DE SISTEMAS ELÉTRICOS

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      CARVALHO, Janison Rodrigues de et al. A new transmission line protection approach using cumulants and artificial neural networks. Journal of Control, Automation and Electrical Systems, v. 25, n. 2, p. 237-251, 2014Tradução . . Disponível em: https://doi.org/10.1007/s40313-013-0101-7. Acesso em: 18 nov. 2025.
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      Carvalho, J. R. de, Coury, D. V., Duque, C. A., & Paula, B. F. (2014). A new transmission line protection approach using cumulants and artificial neural networks. Journal of Control, Automation and Electrical Systems, 25( 2), 237-251. doi:10.1007/s40313-013-0101-7
    • NLM

      Carvalho JR de, Coury DV, Duque CA, Paula BF. A new transmission line protection approach using cumulants and artificial neural networks [Internet]. Journal of Control, Automation and Electrical Systems. 2014 ; 25( 2): 237-251.[citado 2025 nov. 18 ] Available from: https://doi.org/10.1007/s40313-013-0101-7
    • Vancouver

      Carvalho JR de, Coury DV, Duque CA, Paula BF. A new transmission line protection approach using cumulants and artificial neural networks [Internet]. Journal of Control, Automation and Electrical Systems. 2014 ; 25( 2): 237-251.[citado 2025 nov. 18 ] Available from: https://doi.org/10.1007/s40313-013-0101-7
  • Source: Journal of Control, Automation and Electrical Systems. Unidade: EESC

    Subjects: REDES NEURAIS, ESTABILIDADE DE SISTEMAS

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      LAGE, Guilherme Guimarães e FERNANDES, Ricardo Augusto Souza e COSTA, Geraldo Roberto Martins da. Functional approximation of power system steady-state voltage stability limits by artificial neural networks. Journal of Control, Automation and Electrical Systems, v. 24, n. 4, p. 544-554, 2013Tradução . . Disponível em: https://doi.org/10.1007/s40313-013-0045-y. Acesso em: 18 nov. 2025.
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      Lage, G. G., Fernandes, R. A. S., & Costa, G. R. M. da. (2013). Functional approximation of power system steady-state voltage stability limits by artificial neural networks. Journal of Control, Automation and Electrical Systems, 24( 4), 544-554. doi:10.1007/s40313-013-0045-y
    • NLM

      Lage GG, Fernandes RAS, Costa GRM da. Functional approximation of power system steady-state voltage stability limits by artificial neural networks [Internet]. Journal of Control, Automation and Electrical Systems. 2013 ; 24( 4): 544-554.[citado 2025 nov. 18 ] Available from: https://doi.org/10.1007/s40313-013-0045-y
    • Vancouver

      Lage GG, Fernandes RAS, Costa GRM da. Functional approximation of power system steady-state voltage stability limits by artificial neural networks [Internet]. Journal of Control, Automation and Electrical Systems. 2013 ; 24( 4): 544-554.[citado 2025 nov. 18 ] Available from: https://doi.org/10.1007/s40313-013-0045-y
  • Source: Journal of Control, Automation and Electrical Systems. Unidade: EESC

    Subjects: ENERGIA ELÉTRICA (QUALIDADE), SISTEMAS ELÉTRICOS (SIMULAÇÃO), REDES NEURAIS

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      ANDREOLI, André Luiz et al. Artificial neural network model for discharge lamps in the power quality context. Journal of Control, Automation and Electrical Systems, v. 24, n. 3, p. 272-285, 2013Tradução . . Disponível em: https://doi.org/10.1007/s40313-013-0027-0. Acesso em: 18 nov. 2025.
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      Andreoli, A. L., Coury, D. V., Oleskovicz, M., & Serni, P. J. A. (2013). Artificial neural network model for discharge lamps in the power quality context. Journal of Control, Automation and Electrical Systems, 24( 3), 272-285. doi:10.1007/s40313-013-0027-0
    • NLM

      Andreoli AL, Coury DV, Oleskovicz M, Serni PJA. Artificial neural network model for discharge lamps in the power quality context [Internet]. Journal of Control, Automation and Electrical Systems. 2013 ; 24( 3): 272-285.[citado 2025 nov. 18 ] Available from: https://doi.org/10.1007/s40313-013-0027-0
    • Vancouver

      Andreoli AL, Coury DV, Oleskovicz M, Serni PJA. Artificial neural network model for discharge lamps in the power quality context [Internet]. Journal of Control, Automation and Electrical Systems. 2013 ; 24( 3): 272-285.[citado 2025 nov. 18 ] Available from: https://doi.org/10.1007/s40313-013-0027-0

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