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Artigo de periodico
Reference signal injection in induction motors drives to electrical failures detection (2019)
Gongora, Wylliam Salviano; Silva, Ivan Nunes da; Goedtel, Alessandro; Castoldi, Marcelo Favoretto; Santos, Tiago Henrique dos
Source: Journal of Control, Automation and Electrical Systems. Unidade: EESC
Subjects: MOTORES DE INDUÇÃO, FALHA, ENGENHARIA ELÉTRICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
GONGORA, Wylliam Salviano et al. Reference signal injection in induction motors drives to electrical failures detection. Journal of Control, Automation and Electrical Systems, v. 30, n. 2, p. 242-252, 2019Tradução . . Disponível em: https://doi.org/10.1007/s40313-019-00442-5. Acesso em: 18 set. 2024.
APA
Gongora, W. S., Silva, I. N. da, Goedtel, A., Castoldi, M. F., & Santos, T. H. dos. (2019). Reference signal injection in induction motors drives to electrical failures detection. Journal of Control, Automation and Electrical Systems, 30( 2), 242-252. doi:10.1007/s40313-019-00442-5
NLM
Gongora WS, Silva IN da, Goedtel A, Castoldi MF, Santos TH dos. Reference signal injection in induction motors drives to electrical failures detection [Internet]. Journal of Control, Automation and Electrical Systems. 2019 ; 30( 2): 242-252.[citado 2024 set. 18 ] Available from: https://doi.org/10.1007/s40313-019-00442-5
Vancouver
Gongora WS, Silva IN da, Goedtel A, Castoldi MF, Santos TH dos. Reference signal injection in induction motors drives to electrical failures detection [Internet]. Journal of Control, Automation and Electrical Systems. 2019 ; 30( 2): 242-252.[citado 2024 set. 18 ] Available from: https://doi.org/10.1007/s40313-019-00442-5
Trabalho de evento-anais periodico
On the application of bio-inspired algorithms in timetabling problem (2012)
Francisco, Daniela Oliveira; Silva, Ivan Nunes da
Source: Lecture Notes in Computer Science. Conference titles: International Conference on Neural Information Processing - ICONIP. Unidade: EESC
Subjects: SISTEMAS IMUNOLÓGICOS ARTIFICIAIS, ALGORITMOS GENÉTICOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
FRANCISCO, Daniela Oliveira e SILVA, Ivan Nunes da. On the application of bio-inspired algorithms in timetabling problem. Lecture Notes in Computer Science. Heidelberg: Escola de Engenharia de São Carlos, Universidade de São Paulo. Disponível em: https://doi.org/10.1007/978-3-642-34487-9_77. Acesso em: 18 set. 2024. , 2012
APA
Francisco, D. O., & Silva, I. N. da. (2012). On the application of bio-inspired algorithms in timetabling problem. Lecture Notes in Computer Science. Heidelberg: Escola de Engenharia de São Carlos, Universidade de São Paulo. doi:10.1007/978-3-642-34487-9_77
NLM
Francisco DO, Silva IN da. On the application of bio-inspired algorithms in timetabling problem [Internet]. Lecture Notes in Computer Science. 2012 ; 7665 637-644.[citado 2024 set. 18 ] Available from: https://doi.org/10.1007/978-3-642-34487-9_77
Vancouver
Francisco DO, Silva IN da. On the application of bio-inspired algorithms in timetabling problem [Internet]. Lecture Notes in Computer Science. 2012 ; 7665 637-644.[citado 2024 set. 18 ] Available from: https://doi.org/10.1007/978-3-642-34487-9_77
Trabalho de evento-anais periodico
Neurogenetic approach for solving dynamic programming problems (2010)
Pires, Matheus Giovanni; Silva, Ivan Nunes da
Source: Lecture Notes in Computer Science. Conference titles: International Conference on Artifical Intelligence and Soft Computing. Unidade: EESC
Subjects: ALGORITMOS GENÉTICOS, PROGRAMAÇÃO DINÂMICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
PIRES, Matheus Giovanni e SILVA, Ivan Nunes da. Neurogenetic approach for solving dynamic programming problems. Lecture Notes in Computer Science. Heidelberg: Escola de Engenharia de São Carlos, Universidade de São Paulo. Disponível em: https://doi.org/10.1007/978-3-642-13232-2_10. Acesso em: 18 set. 2024. , 2010
APA
Pires, M. G., & Silva, I. N. da. (2010). Neurogenetic approach for solving dynamic programming problems. Lecture Notes in Computer Science. Heidelberg: Escola de Engenharia de São Carlos, Universidade de São Paulo. doi:10.1007/978-3-642-13232-2_10
NLM
Pires MG, Silva IN da. Neurogenetic approach for solving dynamic programming problems [Internet]. Lecture Notes in Computer Science. 2010 ; 6114 72-79.[citado 2024 set. 18 ] Available from: https://doi.org/10.1007/978-3-642-13232-2_10
Vancouver
Pires MG, Silva IN da. Neurogenetic approach for solving dynamic programming problems [Internet]. Lecture Notes in Computer Science. 2010 ; 6114 72-79.[citado 2024 set. 18 ] Available from: https://doi.org/10.1007/978-3-642-13232-2_10
Trabalho de evento-anais periodico
Hybrid Hopfield architecture for solving nonlinear programming problems (2009)
Bertoni, Fabiana Cristina; Silva, Ivan Nunes da
Source: Lecture Notes in Computer Science. Conference titles: International Conference on Neural Information Processing. Unidade: EESC
Subjects: ALGORITMOS GENÉTICOS, PROGRAMAÇÃO NÃO LINEAR
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BERTONI, Fabiana Cristina e SILVA, Ivan Nunes da. Hybrid Hopfield architecture for solving nonlinear programming problems. Lecture Notes in Computer Science. Heidelberg: Escola de Engenharia de São Carlos, Universidade de São Paulo. Disponível em: https://doi.org/10.1007/978-3-642-10677-4_30. Acesso em: 18 set. 2024. , 2009
APA
Bertoni, F. C., & Silva, I. N. da. (2009). Hybrid Hopfield architecture for solving nonlinear programming problems. Lecture Notes in Computer Science. Heidelberg: Escola de Engenharia de São Carlos, Universidade de São Paulo. doi:10.1007/978-3-642-10677-4_30
NLM
Bertoni FC, Silva IN da. Hybrid Hopfield architecture for solving nonlinear programming problems [Internet]. Lecture Notes in Computer Science. 2009 ; 5863 267-276.[citado 2024 set. 18 ] Available from: https://doi.org/10.1007/978-3-642-10677-4_30
Vancouver
Bertoni FC, Silva IN da. Hybrid Hopfield architecture for solving nonlinear programming problems [Internet]. Lecture Notes in Computer Science. 2009 ; 5863 267-276.[citado 2024 set. 18 ] Available from: https://doi.org/10.1007/978-3-642-10677-4_30
Artigo de periodico
Neural network model for designing automotive devices using SMD LED (2008)
Ortega, Antonio Vanderlei; Silva, Ivan Nunes da
Source: International Journal of Automotive Technology. Unidade: EESC
Subjects: INDÚSTRIA AUTOMOBILÍSTICA, REDES NEURAIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ORTEGA, Antonio Vanderlei e SILVA, Ivan Nunes da. Neural network model for designing automotive devices using SMD LED. International Journal of Automotive Technology, v. 9, n. 2, p. 203-210, 2008Tradução . . Disponível em: https://doi.org/10.1007/s12239-008-0026-5. Acesso em: 18 set. 2024.
APA
Ortega, A. V., & Silva, I. N. da. (2008). Neural network model for designing automotive devices using SMD LED. International Journal of Automotive Technology, 9( 2), 203-210. doi:10.1007/s12239-008-0026-5
NLM
Ortega AV, Silva IN da. Neural network model for designing automotive devices using SMD LED [Internet]. International Journal of Automotive Technology. 2008 ; 9( 2): 203-210.[citado 2024 set. 18 ] Available from: https://doi.org/10.1007/s12239-008-0026-5
Vancouver
Ortega AV, Silva IN da. Neural network model for designing automotive devices using SMD LED [Internet]. International Journal of Automotive Technology. 2008 ; 9( 2): 203-210.[citado 2024 set. 18 ] Available from: https://doi.org/10.1007/s12239-008-0026-5

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