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Trabalho de evento-anais periodico
Fault detection in continuous industrial chemical processes: a new approach using the hidden markov modeling. case study (2012)
Almeida, Gustavo Matheus de ; Park, Song Won
Fonte: Lecture Notes in Computer Science. Nome do evento: International Conference on Intelligent Data Engineering and Automated Learning. Unidade: EP
Assuntos: PROCESSAMENTO DE SINAIS, PROCESSOS DE MARKOV, FALHA, BANCO DE DADOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ALMEIDA, Gustavo Matheus de e PARK, Song Won. Fault detection in continuous industrial chemical processes: a new approach using the hidden markov modeling. case study. Lecture Notes in Computer Science. Heidelberg: Springer. Disponível em: https://doi.org/10.1007/978-3-642-32639-4_88. Acesso em: 09 jul. 2025. , 2012
APA
Almeida, G. M. de, & Park, S. W. (2012). Fault detection in continuous industrial chemical processes: a new approach using the hidden markov modeling. case study. Lecture Notes in Computer Science. Heidelberg: Springer. doi:10.1007/978-3-642-32639-4_88
NLM
Almeida GM de, Park SW. Fault detection in continuous industrial chemical processes: a new approach using the hidden markov modeling. case study [Internet]. Lecture Notes in Computer Science. 2012 ; 7435 743-752.[citado 2025 jul. 09 ] Available from: https://doi.org/10.1007/978-3-642-32639-4_88
Vancouver
Almeida GM de, Park SW. Fault detection in continuous industrial chemical processes: a new approach using the hidden markov modeling. case study [Internet]. Lecture Notes in Computer Science. 2012 ; 7435 743-752.[citado 2025 jul. 09 ] Available from: https://doi.org/10.1007/978-3-642-32639-4_88
Trabalho de evento-anais periodico
Local fuzzy pattern: a new way for micro-pattern analysis (2012)
Vieira, Raissa Tavares; Chierici, Carlos Eduardo de Oliveira; Ferraz, Carolina Toledo; Gonzaga, Adilson
Fonte: Lecture Notes in Computer Science. Nome do evento: International Conference on Intelligent Data Engineering and Automated Learning. Unidade: EESC
Assuntos: IMAGEM DIGITAL (ANÁLISE), LÓGICA FUZZY
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
VIEIRA, Raissa Tavares et al. Local fuzzy pattern: a new way for micro-pattern analysis. Lecture Notes in Computer Science. Heidelberg: Escola de Engenharia de São Carlos, Universidade de São Paulo. Disponível em: https://doi.org/10.1007/978-3-642-32639-4_73. Acesso em: 09 jul. 2025. , 2012
APA
Vieira, R. T., Chierici, C. E. de O., Ferraz, C. T., & Gonzaga, A. (2012). Local fuzzy pattern: a new way for micro-pattern analysis. Lecture Notes in Computer Science. Heidelberg: Escola de Engenharia de São Carlos, Universidade de São Paulo. doi:10.1007/978-3-642-32639-4_73
NLM
Vieira RT, Chierici CE de O, Ferraz CT, Gonzaga A. Local fuzzy pattern: a new way for micro-pattern analysis [Internet]. Lecture Notes in Computer Science. 2012 ; 7435 602-611.[citado 2025 jul. 09 ] Available from: https://doi.org/10.1007/978-3-642-32639-4_73
Vancouver
Vieira RT, Chierici CE de O, Ferraz CT, Gonzaga A. Local fuzzy pattern: a new way for micro-pattern analysis [Internet]. Lecture Notes in Computer Science. 2012 ; 7435 602-611.[citado 2025 jul. 09 ] Available from: https://doi.org/10.1007/978-3-642-32639-4_73
Trabalho de evento-anais periodico
Fault identification in doubly fed induction generator using FFT and neural networks (2012)
Santana, Marcelo Patrício de; Monteiro, José Roberto Boffino de Almeida ; Paula, Geyverson Teixeira de; Almeida, Thales Eugenio Portes de; Romero, Gustavo Bueno; Faracco, Júlio César
Fonte: Lecture Notes in Computer Science. Nome do evento: International Conference on Intelligent Data Engineering and Automated Learning. Unidade: EESC
Assuntos: REDES NEURAIS, TRANSFORMADA DE FOURIER
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SANTANA, Marcelo Patrício de et al. Fault identification in doubly fed induction generator using FFT and neural networks. Lecture Notes in Computer Science. Heidelberg: Escola de Engenharia de São Carlos, Universidade de São Paulo. Disponível em: https://doi.org/10.1007/978-3-642-32639-4_83. Acesso em: 09 jul. 2025. , 2012
APA
Santana, M. P. de, Monteiro, J. R. B. de A., Paula, G. T. de, Almeida, T. E. P. de, Romero, G. B., & Faracco, J. C. (2012). Fault identification in doubly fed induction generator using FFT and neural networks. Lecture Notes in Computer Science. Heidelberg: Escola de Engenharia de São Carlos, Universidade de São Paulo. doi:10.1007/978-3-642-32639-4_83
NLM
Santana MP de, Monteiro JRB de A, Paula GT de, Almeida TEP de, Romero GB, Faracco JC. Fault identification in doubly fed induction generator using FFT and neural networks [Internet]. Lecture Notes in Computer Science. 2012 ; 7435 699-706.[citado 2025 jul. 09 ] Available from: https://doi.org/10.1007/978-3-642-32639-4_83
Vancouver
Santana MP de, Monteiro JRB de A, Paula GT de, Almeida TEP de, Romero GB, Faracco JC. Fault identification in doubly fed induction generator using FFT and neural networks [Internet]. Lecture Notes in Computer Science. 2012 ; 7435 699-706.[citado 2025 jul. 09 ] Available from: https://doi.org/10.1007/978-3-642-32639-4_83
Trabalho de evento-anais periodico
Root attribute behavior within a random forest (2012)
Oshiro, Thais Mayumi; Baranauskas, José Augusto
Fonte: Lecture Notes in Computer Science. Nome do evento: International Conference on Intelligent Data Engineering and Automated Learning. Unidade: FFCLRP
Assuntos: INTELIGÊNCIA ARTIFICIAL, APRENDIZADO COMPUTACIONAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
OSHIRO, Thais Mayumi e BARANAUSKAS, José Augusto. Root attribute behavior within a random forest. Lecture Notes in Computer Science. Heidelberg: Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Universidade de São Paulo. . Acesso em: 09 jul. 2025. , 2012
APA
Oshiro, T. M., & Baranauskas, J. A. (2012). Root attribute behavior within a random forest. Lecture Notes in Computer Science. Heidelberg: Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Universidade de São Paulo.
NLM
Oshiro TM, Baranauskas JA. Root attribute behavior within a random forest. Lecture Notes in Computer Science. 2012 ; 7435 733-742.[citado 2025 jul. 09 ]
Vancouver
Oshiro TM, Baranauskas JA. Root attribute behavior within a random forest. Lecture Notes in Computer Science. 2012 ; 7435 733-742.[citado 2025 jul. 09 ]
Trabalho de evento-anais periodico
A model based on genetic algorithm for investigation of the behavior of rats in the elevated plus-maze (2012)
Costa, Ariadne de Andrade; Roque, Antônio Carlos; Morato, Sílvio; Tinós, Renato
Fonte: Lecture Notes in Computer Science. Nome do evento: International Conference on Intelligent Data Engineering and Automated Learning. Unidade: FFCLRP
Assuntos: ALGORITMOS GENÉTICOS, MODELOS ANIMAIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
COSTA, Ariadne de Andrade et al. A model based on genetic algorithm for investigation of the behavior of rats in the elevated plus-maze. Lecture Notes in Computer Science. Heidelberg: Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Universidade de São Paulo. . Acesso em: 09 jul. 2025. , 2012
APA
Costa, A. de A., Roque, A. C., Morato, S., & Tinós, R. (2012). A model based on genetic algorithm for investigation of the behavior of rats in the elevated plus-maze. Lecture Notes in Computer Science. Heidelberg: Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Universidade de São Paulo.
NLM
Costa A de A, Roque AC, Morato S, Tinós R. A model based on genetic algorithm for investigation of the behavior of rats in the elevated plus-maze. Lecture Notes in Computer Science. 2012 ; 7435 151-158.[citado 2025 jul. 09 ]
Vancouver
Costa A de A, Roque AC, Morato S, Tinós R. A model based on genetic algorithm for investigation of the behavior of rats in the elevated plus-maze. Lecture Notes in Computer Science. 2012 ; 7435 151-158.[citado 2025 jul. 09 ]

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