ReP USP - Resultado da busca

Trabalho de evento
Advanced data analytics for process-shop base+delta sub-model estimation in planning and scheduling decision-making (2018)
Franzoi Junior, Robert Eduard; Menezes, Brenno Castrillon ; Kelly, Jeffrey Dean; Gut, Jorge Andrey Wilhelms
Source: Proceedings. Conference titles: AIChE Annual Meeting. Unidade: EP
Subjects: ANÁLISE DE DADOS, TOMADA DE DECISÃO
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ABNT
FRANZOI JUNIOR, Robert Eduard et al. Advanced data analytics for process-shop base+delta sub-model estimation in planning and scheduling decision-making. 2018, Anais.. New York: AIChE, 2018. Disponível em: https://www.aiche.org/conferences/aiche-annual-meeting/2018/proceeding/paper/183c-advanced-data-analytics-process-shop-basedelta-sub-model-estimation-planning-and-scheduling. Acesso em: 10 out. 2024.
APA
Franzoi Junior, R. E., Menezes, B. C., Kelly, J. D., & Gut, J. A. W. (2018). Advanced data analytics for process-shop base+delta sub-model estimation in planning and scheduling decision-making. In Proceedings. New York: AIChE. Recuperado de https://www.aiche.org/conferences/aiche-annual-meeting/2018/proceeding/paper/183c-advanced-data-analytics-process-shop-basedelta-sub-model-estimation-planning-and-scheduling
NLM
Franzoi Junior RE, Menezes BC, Kelly JD, Gut JAW. Advanced data analytics for process-shop base+delta sub-model estimation in planning and scheduling decision-making [Internet]. Proceedings. 2018 ;[citado 2024 out. 10 ] Available from: https://www.aiche.org/conferences/aiche-annual-meeting/2018/proceeding/paper/183c-advanced-data-analytics-process-shop-basedelta-sub-model-estimation-planning-and-scheduling
Vancouver
Franzoi Junior RE, Menezes BC, Kelly JD, Gut JAW. Advanced data analytics for process-shop base+delta sub-model estimation in planning and scheduling decision-making [Internet]. Proceedings. 2018 ;[citado 2024 out. 10 ] Available from: https://www.aiche.org/conferences/aiche-annual-meeting/2018/proceeding/paper/183c-advanced-data-analytics-process-shop-basedelta-sub-model-estimation-planning-and-scheduling
Artigo de periodico
A novel ARX-Based approach for the steady-state identification analysis of industrial depropanizer column datasets (2015)
Rincón Cuellar, Franklin David; Carrillo Le Roux, Galo Antonio ; Lima, Fernando V
Source: Processes. Unidade: EP
Assunto: ANÁLISE DE DADOS
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ABNT
RINCÓN CUELLAR, Franklin David e CARRILLO LE ROUX, Galo Antonio e LIMA, Fernando V. A novel ARX-Based approach for the steady-state identification analysis of industrial depropanizer column datasets. Processes, v. 3, n. 2, p. 257-285, 2015Tradução . . Disponível em: https://doi.org/10.3390/pr3020257. Acesso em: 10 out. 2024.
APA
Rincón Cuellar, F. D., Carrillo Le Roux, G. A., & Lima, F. V. (2015). A novel ARX-Based approach for the steady-state identification analysis of industrial depropanizer column datasets. Processes, 3( 2), 257-285. doi:10.3390/pr3020257
NLM
Rincón Cuellar FD, Carrillo Le Roux GA, Lima FV. A novel ARX-Based approach for the steady-state identification analysis of industrial depropanizer column datasets [Internet]. Processes. 2015 ; 3( 2): 257-285.[citado 2024 out. 10 ] Available from: https://doi.org/10.3390/pr3020257
Vancouver
Rincón Cuellar FD, Carrillo Le Roux GA, Lima FV. A novel ARX-Based approach for the steady-state identification analysis of industrial depropanizer column datasets [Internet]. Processes. 2015 ; 3( 2): 257-285.[citado 2024 out. 10 ] Available from: https://doi.org/10.3390/pr3020257
Trabalho de evento
ARX-Based approach for steady-state identification analysis of industrial processes (2014)
Santoro, Bruno Faccini ; Rincón Cuellar, Franklin David; Lima, Fernando V; Carrillo Le Roux, Galo Antonio
Source: Proceedings. Conference titles: AIChE Annual Meeting. Unidade: EP
Assunto: ANÁLISE DE DADOS
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ABNT
SANTORO, Bruno Faccini et al. ARX-Based approach for steady-state identification analysis of industrial processes. 2014, Anais.. New York: AIChE, 2014. Disponível em: https://www.aiche.org/conferences/aiche-annual-meeting/2014/proceeding/paper/699c-arx-based-approach-steady-state-identification-analysis-industrial-processes-1. Acesso em: 10 out. 2024.
APA
Santoro, B. F., Rincón Cuellar, F. D., Lima, F. V., & Carrillo Le Roux, G. A. (2014). ARX-Based approach for steady-state identification analysis of industrial processes. In Proceedings. New York: AIChE. Recuperado de https://www.aiche.org/conferences/aiche-annual-meeting/2014/proceeding/paper/699c-arx-based-approach-steady-state-identification-analysis-industrial-processes-1
NLM
Santoro BF, Rincón Cuellar FD, Lima FV, Carrillo Le Roux GA. ARX-Based approach for steady-state identification analysis of industrial processes [Internet]. Proceedings. 2014 ;[citado 2024 out. 10 ] Available from: https://www.aiche.org/conferences/aiche-annual-meeting/2014/proceeding/paper/699c-arx-based-approach-steady-state-identification-analysis-industrial-processes-1
Vancouver
Santoro BF, Rincón Cuellar FD, Lima FV, Carrillo Le Roux GA. ARX-Based approach for steady-state identification analysis of industrial processes [Internet]. Proceedings. 2014 ;[citado 2024 out. 10 ] Available from: https://www.aiche.org/conferences/aiche-annual-meeting/2014/proceeding/paper/699c-arx-based-approach-steady-state-identification-analysis-industrial-processes-1
Artigo de periodico
Detecting an abnormality in a recovery boiler using dynamic multivariate data analysis with parallel coordinate plots (2012)
Almeida, Gustavo Matheus de; Cardoso, Marcelo ; Park, Song Won
Source: Appita Journal. Unidade: EP
Subjects: TECNOLOGIA DE CELULOSE E PAPEL, CONTROLE DE PROCESSOS, ANÁLISE DE DADOS
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ABNT
ALMEIDA, Gustavo Matheus de e CARDOSO, Marcelo e PARK, Song Won. Detecting an abnormality in a recovery boiler using dynamic multivariate data analysis with parallel coordinate plots. Appita Journal, v. 65, n. Ja 2012, p. 78-86, 2012Tradução . . Acesso em: 10 out. 2024.
APA
Almeida, G. M. de, Cardoso, M., & Park, S. W. (2012). Detecting an abnormality in a recovery boiler using dynamic multivariate data analysis with parallel coordinate plots. Appita Journal, 65( Ja 2012), 78-86.
NLM
Almeida GM de, Cardoso M, Park SW. Detecting an abnormality in a recovery boiler using dynamic multivariate data analysis with parallel coordinate plots. Appita Journal. 2012 ; 65( Ja 2012): 78-86.[citado 2024 out. 10 ]
Vancouver
Almeida GM de, Cardoso M, Park SW. Detecting an abnormality in a recovery boiler using dynamic multivariate data analysis with parallel coordinate plots. Appita Journal. 2012 ; 65( Ja 2012): 78-86.[citado 2024 out. 10 ]
Artigo de periodico
Graphical representation of cause-effect relationships among chemical process variables using a neural network approach (2010)
Almeida, Gustavo Matheus de ; Cardoso, Marcelo ; Rena, Danilo Castro; Park, Song Won
Source: International Journal of Computational Intelligence and Applications. Unidade: EP
Subjects: REDES NEURAIS, ANÁLISE DE DADOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ALMEIDA, Gustavo Matheus de et al. Graphical representation of cause-effect relationships among chemical process variables using a neural network approach. International Journal of Computational Intelligence and Applications, v. 9, n. 1, p. 69-86, 2010Tradução . . Disponível em: https://doi.org/10.1142/S146902681000277X. Acesso em: 10 out. 2024.
APA
Almeida, G. M. de, Cardoso, M., Rena, D. C., & Park, S. W. (2010). Graphical representation of cause-effect relationships among chemical process variables using a neural network approach. International Journal of Computational Intelligence and Applications, 9( 1), 69-86. doi:10.1142/S146902681000277X
NLM
Almeida GM de, Cardoso M, Rena DC, Park SW. Graphical representation of cause-effect relationships among chemical process variables using a neural network approach [Internet]. International Journal of Computational Intelligence and Applications. 2010 ; 9( 1): 69-86.[citado 2024 out. 10 ] Available from: https://doi.org/10.1142/S146902681000277X
Vancouver
Almeida GM de, Cardoso M, Rena DC, Park SW. Graphical representation of cause-effect relationships among chemical process variables using a neural network approach [Internet]. International Journal of Computational Intelligence and Applications. 2010 ; 9( 1): 69-86.[citado 2024 out. 10 ] Available from: https://doi.org/10.1142/S146902681000277X
Trabalho de evento
Ash deposits monitoring in a convective heat transfer section of a kraft recovery boiler (2009)
Almeida, Gustavo Matheus de; Park, Song Won
Source: PSE 2009: proceedings. Conference titles: International Symposium on Process Systems Engineering. Unidade: EP
Subjects: MONITORAMENTO (PROCESSOS QUÍMICOS), ANÁLISE DE DADOS, PROCESSAMENTO DE SINAIS (FERRAMENTAS)
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ALMEIDA, Gustavo Matheus de e PARK, Song Won. Ash deposits monitoring in a convective heat transfer section of a kraft recovery boiler. 2009, Anais.. Oxford: Elsevier, 2009. . Acesso em: 10 out. 2024.
APA
Almeida, G. M. de, & Park, S. W. (2009). Ash deposits monitoring in a convective heat transfer section of a kraft recovery boiler. In PSE 2009: proceedings. Oxford: Elsevier.
NLM
Almeida GM de, Park SW. Ash deposits monitoring in a convective heat transfer section of a kraft recovery boiler. PSE 2009: proceedings. 2009 ;[citado 2024 out. 10 ]
Vancouver
Almeida GM de, Park SW. Ash deposits monitoring in a convective heat transfer section of a kraft recovery boiler. PSE 2009: proceedings. 2009 ;[citado 2024 out. 10 ]
Artigo de periodico
Detection of outliers in a gas centrifuge experimental data (2005)
Andrade, Mônica de Carvalho Vasconcelos; Nascimento, Cláudio Augusto Oller do ; Migliavacca, Sylvana Cavedon Presti
Source: Brazilian Journal of Chemical Engineering. Unidade: EP
Subjects: ANÁLISE DE DADOS, INTELIGÊNCIA ARTIFICIAL, ISÓTOPOS, VALORES ATÍPICOS, PROCESSOS QUÍMICOS (OTIMIZAÇÃO), PROCESSOS DE SEPARAÇÃO, REDES NEURAIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ANDRADE, Mônica de Carvalho Vasconcelos e NASCIMENTO, Cláudio Augusto Oller do e MIGLIAVACCA, Sylvana Cavedon Presti. Detection of outliers in a gas centrifuge experimental data. Brazilian Journal of Chemical Engineering, v. 22, n. 03, p. 389-400, 2005Tradução . . Disponível em: https://doi.org/10.1590/s0104-66322005000300008. Acesso em: 10 out. 2024.
APA
Andrade, M. de C. V., Nascimento, C. A. O. do, & Migliavacca, S. C. P. (2005). Detection of outliers in a gas centrifuge experimental data. Brazilian Journal of Chemical Engineering, 22( 03), 389-400. doi:10.1590/s0104-66322005000300008
NLM
Andrade M de CV, Nascimento CAO do, Migliavacca SCP. Detection of outliers in a gas centrifuge experimental data [Internet]. Brazilian Journal of Chemical Engineering. 2005 ;22( 03): 389-400.[citado 2024 out. 10 ] Available from: https://doi.org/10.1590/s0104-66322005000300008
Vancouver
Andrade M de CV, Nascimento CAO do, Migliavacca SCP. Detection of outliers in a gas centrifuge experimental data [Internet]. Brazilian Journal of Chemical Engineering. 2005 ;22( 03): 389-400.[citado 2024 out. 10 ] Available from: https://doi.org/10.1590/s0104-66322005000300008
Trabalho de evento
Análise de dados e parâmetros operacionais para avaliação de um sistema de evaporação múltiplo efeito do processo KRAFT (2004)
Costa, George Alberto Avelar; Cardoso, Marcelo; Park, Song Won ; Brandão, Hamilton Saulo Moreira
Source: CIADICYP 2004 : proceedings. Conference titles: Congresso Iberoamericano de Investigación en Cellulosa y Papel. Unidade: EP
Subjects: ANÁLISE DE DADOS, EVAPORAÇÃO, FENÔMENOS DE TRANSPORTE, INDÚSTRIA DE CELULOSE E PAPEL, PAPEL, PROCESSOS QUÍMICOS, TRANSFERÊNCIA DE CALOR
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
COSTA, George Alberto Avelar et al. Análise de dados e parâmetros operacionais para avaliação de um sistema de evaporação múltiplo efeito do processo KRAFT. 2004, Anais.. Córdoba: CIADICYP, 2004. . Acesso em: 10 out. 2024.
APA
Costa, G. A. A., Cardoso, M., Park, S. W., & Brandão, H. S. M. (2004). Análise de dados e parâmetros operacionais para avaliação de um sistema de evaporação múltiplo efeito do processo KRAFT. In CIADICYP 2004 : proceedings. Córdoba: CIADICYP.
NLM
Costa GAA, Cardoso M, Park SW, Brandão HSM. Análise de dados e parâmetros operacionais para avaliação de um sistema de evaporação múltiplo efeito do processo KRAFT. CIADICYP 2004 : proceedings. 2004 ;[citado 2024 out. 10 ]
Vancouver
Costa GAA, Cardoso M, Park SW, Brandão HSM. Análise de dados e parâmetros operacionais para avaliação de um sistema de evaporação múltiplo efeito do processo KRAFT. CIADICYP 2004 : proceedings. 2004 ;[citado 2024 out. 10 ]
Artigo de periodico
Gross errors detection of industrial data by neural network and cluster techniques (2002)
Alves, Rita Maria de Brito ; Nascimento, Cláudio Augusto Oller do
Source: Brazilian Journal of Chemical Engineering. Unidade: EP
Subjects: ANÁLISE DE DADOS, DISTRIBUIÇÕES (PROBABILIDADE), MODELOS MATEMÁTICOS, REDES NEURAIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ALVES, Rita Maria de Brito e NASCIMENTO, Cláudio Augusto Oller do. Gross errors detection of industrial data by neural network and cluster techniques. Brazilian Journal of Chemical Engineering, n. 4, p. 483-489, 2002Tradução . . Disponível em: https://doi.org/10.1590/s0104-66322002000400018. Acesso em: 10 out. 2024.
APA
Alves, R. M. de B., & Nascimento, C. A. O. do. (2002). Gross errors detection of industrial data by neural network and cluster techniques. Brazilian Journal of Chemical Engineering, ( 4), 483-489. doi:10.1590/s0104-66322002000400018
NLM
Alves RM de B, Nascimento CAO do. Gross errors detection of industrial data by neural network and cluster techniques [Internet]. Brazilian Journal of Chemical Engineering. 2002 ;( 4): 483-489.[citado 2024 out. 10 ] Available from: https://doi.org/10.1590/s0104-66322002000400018
Vancouver
Alves RM de B, Nascimento CAO do. Gross errors detection of industrial data by neural network and cluster techniques [Internet]. Brazilian Journal of Chemical Engineering. 2002 ;( 4): 483-489.[citado 2024 out. 10 ] Available from: https://doi.org/10.1590/s0104-66322002000400018

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