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
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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: 07 nov. 2025. , 2012APA
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_88NLM
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 nov. 07 ] Available from: https://doi.org/10.1007/978-3-642-32639-4_88Vancouver
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 nov. 07 ] Available from: https://doi.org/10.1007/978-3-642-32639-4_88
