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Artigo de periodico
Vibration-based multiphase-flow pattern classification via machine learning techniques (2023)
Sestito, Guilherme Serpa ; Álvarez-Briceño, Ricardo; Ribatski, Gherhardt ; Silva, Maíra Martins da ; Oliveira, Leopoldo Pisanelli Rodrigues de
Source: Flow Measurement and Instrumentation. Unidade: EESC
Subjects: ESCOAMENTO MULTIFÁSICO, VIBRAÇÕES, REDES NEURAIS, ENGENHARIA MECÂNICA
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ABNT
SESTITO, Guilherme Serpa et al. Vibration-based multiphase-flow pattern classification via machine learning techniques. Flow Measurement and Instrumentation, v. 89, p. 1-12, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.flowmeasinst.2022.102290. Acesso em: 18 nov. 2024.
APA
Sestito, G. S., Álvarez-Briceño, R., Ribatski, G., Silva, M. M. da, & Oliveira, L. P. R. de. (2023). Vibration-based multiphase-flow pattern classification via machine learning techniques. Flow Measurement and Instrumentation, 89, 1-12. doi:10.1016/j.flowmeasinst.2022.102290
NLM
Sestito GS, Álvarez-Briceño R, Ribatski G, Silva MM da, Oliveira LPR de. Vibration-based multiphase-flow pattern classification via machine learning techniques [Internet]. Flow Measurement and Instrumentation. 2023 ; 89 1-12.[citado 2024 nov. 18 ] Available from: https://doi.org/10.1016/j.flowmeasinst.2022.102290
Vancouver
Sestito GS, Álvarez-Briceño R, Ribatski G, Silva MM da, Oliveira LPR de. Vibration-based multiphase-flow pattern classification via machine learning techniques [Internet]. Flow Measurement and Instrumentation. 2023 ; 89 1-12.[citado 2024 nov. 18 ] Available from: https://doi.org/10.1016/j.flowmeasinst.2022.102290
Artigo de periodico
Generalizing rapid flood predictions to unseen urban catchments with conditional generative adversarial networks (2023)
Lago, César Ambrogi Ferreira do; Giacomoni, Marcio H; Bentivoglio, Roberto; Taormina, Riccardo; Gomes Junior, Marcus Nóbrega; Mendiondo, Eduardo Mario
Source: Journal of hydrology. Unidade: EESC
Subjects: HIDRODINÂMICA, REDES NEURAIS, ENCHENTES URBANAS, ENGENHARIA DE PRODUÇÃO
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ABNT
LAGO, César Ambrogi Ferreira do et al. Generalizing rapid flood predictions to unseen urban catchments with conditional generative adversarial networks. Journal of hydrology, v. 618, p. 1-15, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.jhydrol.2023.129276. Acesso em: 18 nov. 2024.
APA
Lago, C. A. F. do, Giacomoni, M. H., Bentivoglio, R., Taormina, R., Gomes Junior, M. N., & Mendiondo, E. M. (2023). Generalizing rapid flood predictions to unseen urban catchments with conditional generative adversarial networks. Journal of hydrology, 618, 1-15. doi:10.1016/j.jhydrol.2023.129276
NLM
Lago CAF do, Giacomoni MH, Bentivoglio R, Taormina R, Gomes Junior MN, Mendiondo EM. Generalizing rapid flood predictions to unseen urban catchments with conditional generative adversarial networks [Internet]. Journal of hydrology. 2023 ; 618 1-15.[citado 2024 nov. 18 ] Available from: https://doi.org/10.1016/j.jhydrol.2023.129276
Vancouver
Lago CAF do, Giacomoni MH, Bentivoglio R, Taormina R, Gomes Junior MN, Mendiondo EM. Generalizing rapid flood predictions to unseen urban catchments with conditional generative adversarial networks [Internet]. Journal of hydrology. 2023 ; 618 1-15.[citado 2024 nov. 18 ] Available from: https://doi.org/10.1016/j.jhydrol.2023.129276
Artigo de periodico
The effect of time delay for synchronisation suppression in neuronal networks (2022)
Hansen, Matheus ; Batista, Antonio Marcos ; Protachevicz, Paulo Ricardo ; Caldas, Iberê Luiz ; Iarosz, Kelly Cristiane ; Macau, Elbert Einstein Nehrer
Source: Chaos, Solitons & Fractals. Unidade: IF
Subjects: REDES NEURAIS, SINCRONIZAÇÃO
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ABNT
HANSEN, Matheus et al. The effect of time delay for synchronisation suppression in neuronal networks. Chaos, Solitons & Fractals, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.chaos.2022.112690. Acesso em: 18 nov. 2024.
APA
Hansen, M., Batista, A. M., Protachevicz, P. R., Caldas, I. L., Iarosz, K. C., & Macau, E. E. N. (2022). The effect of time delay for synchronisation suppression in neuronal networks. Chaos, Solitons & Fractals. doi:10.1016/j.chaos.2022.112690
NLM
Hansen M, Batista AM, Protachevicz PR, Caldas IL, Iarosz KC, Macau EEN. The effect of time delay for synchronisation suppression in neuronal networks [Internet]. Chaos, Solitons & Fractals. 2022 ;[citado 2024 nov. 18 ] Available from: https://doi.org/10.1016/j.chaos.2022.112690
Vancouver
Hansen M, Batista AM, Protachevicz PR, Caldas IL, Iarosz KC, Macau EEN. The effect of time delay for synchronisation suppression in neuronal networks [Internet]. Chaos, Solitons & Fractals. 2022 ;[citado 2024 nov. 18 ] Available from: https://doi.org/10.1016/j.chaos.2022.112690
Artigo de periodico
A frequency spectrum-based method for detecting and classifying faults in HVDC systems (2022)
Merlin, Victor Luiz; Santos, Ricardo Caneloi dos ; Pavani, Ahda Pionkoski Grilo ; Vieira Júnior, José Carlos de Melo
Source: Electric Power Systems Research. Unidade: EESC
Subjects: TRANSMISSÃO DE ENERGIA ELÉTRICA POR CORRENTE CONTÍNUA, FALHA, REDES NEURAIS, POTENCIAL ELÉTRICO, ENGENHARIA ELÉTRICA
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ABNT
MERLIN, Victor Luiz et al. A frequency spectrum-based method for detecting and classifying faults in HVDC systems. Electric Power Systems Research, v. 207, p. 1-16, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.epsr.2022.107828. Acesso em: 18 nov. 2024.
APA
Merlin, V. L., Santos, R. C. dos, Pavani, A. P. G., & Vieira Júnior, J. C. de M. (2022). A frequency spectrum-based method for detecting and classifying faults in HVDC systems. Electric Power Systems Research, 207, 1-16. doi:10.1016/j.epsr.2022.107828
NLM
Merlin VL, Santos RC dos, Pavani APG, Vieira Júnior JC de M. A frequency spectrum-based method for detecting and classifying faults in HVDC systems [Internet]. Electric Power Systems Research. 2022 ; 207 1-16.[citado 2024 nov. 18 ] Available from: https://doi.org/10.1016/j.epsr.2022.107828
Vancouver
Merlin VL, Santos RC dos, Pavani APG, Vieira Júnior JC de M. A frequency spectrum-based method for detecting and classifying faults in HVDC systems [Internet]. Electric Power Systems Research. 2022 ; 207 1-16.[citado 2024 nov. 18 ] Available from: https://doi.org/10.1016/j.epsr.2022.107828
Artigo de periodico
Deep reinforcement learning-based secondary control for microgrids in islanded mode (2022)
Barbalho, Pedro Inácio de Nascimento e; Lacerda, V. A.; Fernandes, R.A.S.; Coury, Denis Vinicius
Source: Electric Power Systems Research. Unidade: EESC
Subjects: DISTRIBUIÇÃO DE ENERGIA ELÉTRICA, REDES NEURAIS, ILHAMENTO, ENGENHARIA ELÉTRICA
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ABNT
BARBALHO, Pedro Inácio de Nascimento e et al. Deep reinforcement learning-based secondary control for microgrids in islanded mode. Electric Power Systems Research, v. 212, p. 1-7, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.epsr.2022.108315. Acesso em: 18 nov. 2024.
APA
Barbalho, P. I. de N. e, Lacerda, V. A., Fernandes, R. A. S., & Coury, D. V. (2022). Deep reinforcement learning-based secondary control for microgrids in islanded mode. Electric Power Systems Research, 212, 1-7. doi:10.1016/j.epsr.2022.108315
NLM
Barbalho PI de N e, Lacerda VA, Fernandes RAS, Coury DV. Deep reinforcement learning-based secondary control for microgrids in islanded mode [Internet]. Electric Power Systems Research. 2022 ; 212 1-7.[citado 2024 nov. 18 ] Available from: https://doi.org/10.1016/j.epsr.2022.108315
Vancouver
Barbalho PI de N e, Lacerda VA, Fernandes RAS, Coury DV. Deep reinforcement learning-based secondary control for microgrids in islanded mode [Internet]. Electric Power Systems Research. 2022 ; 212 1-7.[citado 2024 nov. 18 ] Available from: https://doi.org/10.1016/j.epsr.2022.108315
Artigo de periodico
Probabilistic Neural Network with Bayesian-based, spectral torque imaging and Deep Convolutional Autoencoder for PDC bit wear monitoring (2020)
Agostini, Cristiano Eduardo; Pinto, Marcio Augusto Sampaio
Source: Journal of Petroleum Science and Engineering. Unidade: EP
Subjects: PERFURAÇÃO DE POÇOS, PETRÓLEO, REDES NEURAIS
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ABNT
AGOSTINI, Cristiano Eduardo e PINTO, Marcio Augusto Sampaio. Probabilistic Neural Network with Bayesian-based, spectral torque imaging and Deep Convolutional Autoencoder for PDC bit wear monitoring. Journal of Petroleum Science and Engineering, v. 193, 2020Tradução . . Disponível em: https://doi.org/10.1016/j.petrol.2020.1074342. Acesso em: 18 nov. 2024.
APA
Agostini, C. E., & Pinto, M. A. S. (2020). Probabilistic Neural Network with Bayesian-based, spectral torque imaging and Deep Convolutional Autoencoder for PDC bit wear monitoring. Journal of Petroleum Science and Engineering, 193. doi:10.1016/j.petrol.2020.1074342
NLM
Agostini CE, Pinto MAS. Probabilistic Neural Network with Bayesian-based, spectral torque imaging and Deep Convolutional Autoencoder for PDC bit wear monitoring [Internet]. Journal of Petroleum Science and Engineering. 2020 ; 193[citado 2024 nov. 18 ] Available from: https://doi.org/10.1016/j.petrol.2020.1074342
Vancouver
Agostini CE, Pinto MAS. Probabilistic Neural Network with Bayesian-based, spectral torque imaging and Deep Convolutional Autoencoder for PDC bit wear monitoring [Internet]. Journal of Petroleum Science and Engineering. 2020 ; 193[citado 2024 nov. 18 ] Available from: https://doi.org/10.1016/j.petrol.2020.1074342
Artigo de periodico
Predicting supply chain performance based on SCOR® metrics and multilayer perceptron neural networks (2019)
Lima Junior, Francisco Rodrigues; Carpinetti, Luiz Cesar Ribeiro
Source: International Journal of Production Economics. Unidade: EESC
Subjects: CADEIA DE SUPRIMENTOS, REDES NEURAIS, CADEIA DE SUPRIMENTOS, ENGENHARIA DE PRODUÇÃO
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ABNT
LIMA JUNIOR, Francisco Rodrigues e CARPINETTI, Luiz Cesar Ribeiro. Predicting supply chain performance based on SCOR® metrics and multilayer perceptron neural networks. International Journal of Production Economics, v. 212, p. 19-38, 2019Tradução . . Disponível em: https://doi.org/10.1016/j.ijpe.2019.02.001. Acesso em: 18 nov. 2024.
APA
Lima Junior, F. R., & Carpinetti, L. C. R. (2019). Predicting supply chain performance based on SCOR® metrics and multilayer perceptron neural networks. International Journal of Production Economics, 212, 19-38. doi:10.1016/j.ijpe.2019.02.001
NLM
Lima Junior FR, Carpinetti LCR. Predicting supply chain performance based on SCOR® metrics and multilayer perceptron neural networks [Internet]. International Journal of Production Economics. 2019 ; 212 19-38.[citado 2024 nov. 18 ] Available from: https://doi.org/10.1016/j.ijpe.2019.02.001
Vancouver
Lima Junior FR, Carpinetti LCR. Predicting supply chain performance based on SCOR® metrics and multilayer perceptron neural networks [Internet]. International Journal of Production Economics. 2019 ; 212 19-38.[citado 2024 nov. 18 ] Available from: https://doi.org/10.1016/j.ijpe.2019.02.001
Artigo de periodico
Experimental measurements and simulation of the fouling phenomena of natural proteins (2019)
Gomes, Maria Thereza de Moraes Santos; Guimarães, Daniela Helena Pelegrine; Castillo, Pedro Felipe Arce
Source: International journal of heat and mass transfer. Unidade: EEL
Subjects: SOLUBILIDADE, REDES NEURAIS
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ABNT
GOMES, Maria Thereza de Moraes Santos e GUIMARÃES, Daniela Helena Pelegrine e CASTILLO, Pedro Felipe Arce. Experimental measurements and simulation of the fouling phenomena of natural proteins. International journal of heat and mass transfer, v. 129, p. 1075-1085, 2019Tradução . . Disponível em: https://doi.org/10.1016/j.ijheatmasstransfer.2018.10.057. Acesso em: 18 nov. 2024.
APA
Gomes, M. T. de M. S., Guimarães, D. H. P., & Castillo, P. F. A. (2019). Experimental measurements and simulation of the fouling phenomena of natural proteins. International journal of heat and mass transfer, 129, 1075-1085. doi:10.1016/j.ijheatmasstransfer.2018.10.057
NLM
Gomes MT de MS, Guimarães DHP, Castillo PFA. Experimental measurements and simulation of the fouling phenomena of natural proteins [Internet]. International journal of heat and mass transfer. 2019 ;129 1075-1085.[citado 2024 nov. 18 ] Available from: https://doi.org/10.1016/j.ijheatmasstransfer.2018.10.057
Vancouver
Gomes MT de MS, Guimarães DHP, Castillo PFA. Experimental measurements and simulation of the fouling phenomena of natural proteins [Internet]. International journal of heat and mass transfer. 2019 ;129 1075-1085.[citado 2024 nov. 18 ] Available from: https://doi.org/10.1016/j.ijheatmasstransfer.2018.10.057
Trabalho de evento-anais periodico
Bioenergy investments in sugarcane mills: an approach combining portfolio theory with neural networks (2018)
Mutran, Victoria Morgado; Ribeiro, Celma ; Nascimento, Cláudio Augusto Oller do ; Rego, Erik Eduardo
Source: Computer Aided Chemical Engineering. Conference titles: International Symposium on Process Systems Engineering (PSE 2018). Unidade: EP
Subjects: CANA-DE-AÇÚCAR, BIOENERGIA, REDES NEURAIS
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ABNT
MUTRAN, Victoria Morgado et al. Bioenergy investments in sugarcane mills: an approach combining portfolio theory with neural networks. Computer Aided Chemical Engineering. Amsterdam: Elsevier. Disponível em: https://doi.org/10.1016/B978-0-444-64241-7.50156-7. Acesso em: 18 nov. 2024. , 2018
APA
Mutran, V. M., Ribeiro, C., Nascimento, C. A. O. do, & Rego, E. E. (2018). Bioenergy investments in sugarcane mills: an approach combining portfolio theory with neural networks. Computer Aided Chemical Engineering. Amsterdam: Elsevier. doi:10.1016/B978-0-444-64241-7.50156-7
NLM
Mutran VM, Ribeiro C, Nascimento CAO do, Rego EE. Bioenergy investments in sugarcane mills: an approach combining portfolio theory with neural networks [Internet]. Computer Aided Chemical Engineering. 2018 ; 44 967-972.[citado 2024 nov. 18 ] Available from: https://doi.org/10.1016/B978-0-444-64241-7.50156-7
Vancouver
Mutran VM, Ribeiro C, Nascimento CAO do, Rego EE. Bioenergy investments in sugarcane mills: an approach combining portfolio theory with neural networks [Internet]. Computer Aided Chemical Engineering. 2018 ; 44 967-972.[citado 2024 nov. 18 ] Available from: https://doi.org/10.1016/B978-0-444-64241-7.50156-7
Artigo de periodico
Correcting geometric deviations of CNC machine-tools: an approach with artificial neural networks (2015)
Leite, Wanderson de Oliveira; Rubio, Juan Carlos Campos ; Duduch, Jaime Gilberto ; Almeida, Paulo Eduardo Maciel de
Source: Applied Soft Computing Journal. Unidade: EESC
Subjects: REDES NEURAIS, MÁQUINAS-FERRAMENTA, ENGENHARIA MECÂNICA
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ABNT
LEITE, Wanderson de Oliveira et al. Correcting geometric deviations of CNC machine-tools: an approach with artificial neural networks. Applied Soft Computing Journal, v. 36, p. 114-124, 2015Tradução . . Disponível em: https://doi.org/10.1016/j.asoc.2015.07.014. Acesso em: 18 nov. 2024.
APA
Leite, W. de O., Rubio, J. C. C., Duduch, J. G., & Almeida, P. E. M. de. (2015). Correcting geometric deviations of CNC machine-tools: an approach with artificial neural networks. Applied Soft Computing Journal, 36, 114-124. doi:10.1016/j.asoc.2015.07.014
NLM
Leite W de O, Rubio JCC, Duduch JG, Almeida PEM de. Correcting geometric deviations of CNC machine-tools: an approach with artificial neural networks [Internet]. Applied Soft Computing Journal. 2015 ; 36 114-124.[citado 2024 nov. 18 ] Available from: https://doi.org/10.1016/j.asoc.2015.07.014
Vancouver
Leite W de O, Rubio JCC, Duduch JG, Almeida PEM de. Correcting geometric deviations of CNC machine-tools: an approach with artificial neural networks [Internet]. Applied Soft Computing Journal. 2015 ; 36 114-124.[citado 2024 nov. 18 ] Available from: https://doi.org/10.1016/j.asoc.2015.07.014
Trabalho de evento-anais periodico
Time-delay neural network for monitoring of abnormal situations in continuous industrial processes: case study : evaporation station of a pulp mill (2013)
Almeida, Gustavo Matheus de ; Park, Song Won
Conference titles: IFAC Workshop on Intelligent Manufacturing Systems. Unidade: EP
Subjects: RECONHECIMENTO DE PADRÕES, REDES NEURAIS, BANCO DE DADOS
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ABNT
ALMEIDA, Gustavo Matheus de e PARK, Song Won. Time-delay neural network for monitoring of abnormal situations in continuous industrial processes: case study : evaporation station of a pulp mill. . Oxford: Elsevier. Disponível em: https://doi.org/10.3182/20130522-3-BR-4036.00029. Acesso em: 18 nov. 2024. , 2013
APA
Almeida, G. M. de, & Park, S. W. (2013). Time-delay neural network for monitoring of abnormal situations in continuous industrial processes: case study : evaporation station of a pulp mill. Oxford: Elsevier. doi:10.3182/20130522-3-BR-4036.00029
NLM
Almeida GM de, Park SW. Time-delay neural network for monitoring of abnormal situations in continuous industrial processes: case study : evaporation station of a pulp mill [Internet]. 2013 ; 46( 7): 408-413.[citado 2024 nov. 18 ] Available from: https://doi.org/10.3182/20130522-3-BR-4036.00029
Vancouver
Almeida GM de, Park SW. Time-delay neural network for monitoring of abnormal situations in continuous industrial processes: case study : evaporation station of a pulp mill [Internet]. 2013 ; 46( 7): 408-413.[citado 2024 nov. 18 ] Available from: https://doi.org/10.3182/20130522-3-BR-4036.00029
Trabalho de evento-anais periodico
Using kriging models for real-time process optimisation (2008)
Gomes, Marcos Vinicius de Carvalho; David, I; Bogle, L; Biscaia Junior, Evaristo Chalbaud; Odloak, Darci
Source: ESCAPE 18 : proceedings / edited by Bertrand Braunschweiz and Xavier Joulia. Conference titles: European Symposium on Computer Aided Process Engineering. Unidade: EP
Subjects: COMPUTADORES (EXPERIMENTOS), MODELOS MATEMÁTICOS, OTIMIZAÇÃO MATEMÁTICA, PETRÓLEO, PROCESSOS QUÍMICOS (OTIMIZAÇÃO), REDES NEURAIS, SIMULAÇÃO
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ABNT
GOMES, Marcos Vinicius de Carvalho et al. Using kriging models for real-time process optimisation. ESCAPE 18 : proceedings / edited by Bertrand Braunschweiz and Xavier Joulia. Amsterdam: Elsevier. Disponível em: https://doi.org/10.1016/S1570-7946(08)80065-X. Acesso em: 18 nov. 2024. , 2008
APA
Gomes, M. V. de C., David, I., Bogle, L., Biscaia Junior, E. C., & Odloak, D. (2008). Using kriging models for real-time process optimisation. ESCAPE 18 : proceedings / edited by Bertrand Braunschweiz and Xavier Joulia. Amsterdam: Elsevier. doi:10.1016/S1570-7946(08)80065-X
NLM
Gomes MV de C, David I, Bogle L, Biscaia Junior EC, Odloak D. Using kriging models for real-time process optimisation [Internet]. ESCAPE 18 : proceedings / edited by Bertrand Braunschweiz and Xavier Joulia. 2008 ; 25 361-366.[citado 2024 nov. 18 ] Available from: https://doi.org/10.1016/S1570-7946(08)80065-X
Vancouver
Gomes MV de C, David I, Bogle L, Biscaia Junior EC, Odloak D. Using kriging models for real-time process optimisation [Internet]. ESCAPE 18 : proceedings / edited by Bertrand Braunschweiz and Xavier Joulia. 2008 ; 25 361-366.[citado 2024 nov. 18 ] Available from: https://doi.org/10.1016/S1570-7946(08)80065-X
Trabalho de evento-resumo
Applying graph theory on a neural network responsible for the cardiovascular function control: a correlation between structural properties and physiological functions (1989)
Chia-Hong, Y; Baccalá, Luiz Antonio ; Nicolelis, Miguel A. L.
Source: Medinfo 89. Conference titles: Conference on Medical Informatics. Unidades: EP, FM
Subjects: TEORIA DOS GRAFOS, REDES NEURAIS, SISTEMA CARDIOVASCULAR, INFORMÁTICA MÉDICA
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ABNT
CHIA-HONG, Y e BACCALÁ, Luiz Antonio e NICOLELIS, Miguel A. L. Applying graph theory on a neural network responsible for the cardiovascular function control: a correlation between structural properties and physiological functions. 1989, Anais.. Amsterdam: Elsevier, 1989. . Acesso em: 18 nov. 2024.
APA
Chia-Hong, Y., Baccalá, L. A., & Nicolelis, M. A. L. (1989). Applying graph theory on a neural network responsible for the cardiovascular function control: a correlation between structural properties and physiological functions. In Medinfo 89. Amsterdam: Elsevier.
NLM
Chia-Hong Y, Baccalá LA, Nicolelis MAL. Applying graph theory on a neural network responsible for the cardiovascular function control: a correlation between structural properties and physiological functions. Medinfo 89. 1989 ;[citado 2024 nov. 18 ]
Vancouver
Chia-Hong Y, Baccalá LA, Nicolelis MAL. Applying graph theory on a neural network responsible for the cardiovascular function control: a correlation between structural properties and physiological functions. Medinfo 89. 1989 ;[citado 2024 nov. 18 ]

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