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Artigo de periodico
Mathematical Modeling of Alkaline Direct Glycerol Fuel Cells (2023)
Pezzini, Alessandra; Castro, Ubiranilson João de; Oliveira, Deborah S. B. L. de; Tremiliosi Filho, Germano ; Sousa Júnior, Ruy de
Source: Energies. Unidade: IQSC
Subjects: CÉLULAS A COMBUSTÍVEL, REDES NEURAIS
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ABNT
PEZZINI, Alessandra et al. Mathematical Modeling of Alkaline Direct Glycerol Fuel Cells. Energies, v. 16, p. 6762, 2023Tradução . . Disponível em: https://doi.org/10.3390/en16196762. Acesso em: 11 nov. 2024.
APA
Pezzini, A., Castro, U. J. de, Oliveira, D. S. B. L. de, Tremiliosi Filho, G., & Sousa Júnior, R. de. (2023). Mathematical Modeling of Alkaline Direct Glycerol Fuel Cells. Energies, 16, 6762. doi:10.3390/en16196762
NLM
Pezzini A, Castro UJ de, Oliveira DSBL de, Tremiliosi Filho G, Sousa Júnior R de. Mathematical Modeling of Alkaline Direct Glycerol Fuel Cells [Internet]. Energies. 2023 ;16 6762.[citado 2024 nov. 11 ] Available from: https://doi.org/10.3390/en16196762
Vancouver
Pezzini A, Castro UJ de, Oliveira DSBL de, Tremiliosi Filho G, Sousa Júnior R de. Mathematical Modeling of Alkaline Direct Glycerol Fuel Cells [Internet]. Energies. 2023 ;16 6762.[citado 2024 nov. 11 ] Available from: https://doi.org/10.3390/en16196762
Artigo de periodico
A divide‑and‑conquer approach for genomic prediction in rubber tree using machine learning (2022)
Aono, Alexandre Hild; Francisco, Felipe Roberto; Souza, Livia Moura; Gonçalves, Paulo de Souza; Scaloppi Junior, Erivaldo J; Le Guen, Vincent; Fritsche‑Neto, Roberto ; Gorjanc, Gregor; Marcos Gonçalves Quiles8; Souza, Anete Pereira de
Source: Scientific Reports. Unidade: ESALQ
Subjects: APRENDIZADO COMPUTACIONAL, GENÔMICA, MARCADOR MOLECULAR, MELHORAMENTO GENÉTICO VEGETAL, REDES NEURAIS, SERINGUEIRA
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ABNT
AONO, Alexandre Hild et al. A divide‑and‑conquer approach for genomic prediction in rubber tree using machine learning. Scientific Reports, v. 12, p. 1-14, 2022Tradução . . Disponível em: https://repositorio.usp.br/directbitstream/86d8ec26-96c6-424e-a56e-717547051442/3105258-A%20divide-and-conquer%20approach%20for%20genomic%20prediction%20in%20rubber%20tree%20using%20machine%20learning.pdf. Acesso em: 11 nov. 2024.
APA
Aono, A. H., Francisco, F. R., Souza, L. M., Gonçalves, P. de S., Scaloppi Junior, E. J., Le Guen, V., et al. (2022). A divide‑and‑conquer approach for genomic prediction in rubber tree using machine learning. Scientific Reports, 12, 1-14. doi:10.1038/s41598-022-20416-z
NLM
Aono AH, Francisco FR, Souza LM, Gonçalves P de S, Scaloppi Junior EJ, Le Guen V, Fritsche‑Neto R, Gorjanc G, Marcos Gonçalves Quiles8, Souza AP de. A divide‑and‑conquer approach for genomic prediction in rubber tree using machine learning [Internet]. Scientific Reports. 2022 ; 12 1-14.[citado 2024 nov. 11 ] Available from: https://repositorio.usp.br/directbitstream/86d8ec26-96c6-424e-a56e-717547051442/3105258-A%20divide-and-conquer%20approach%20for%20genomic%20prediction%20in%20rubber%20tree%20using%20machine%20learning.pdf
Vancouver
Aono AH, Francisco FR, Souza LM, Gonçalves P de S, Scaloppi Junior EJ, Le Guen V, Fritsche‑Neto R, Gorjanc G, Marcos Gonçalves Quiles8, Souza AP de. A divide‑and‑conquer approach for genomic prediction in rubber tree using machine learning [Internet]. Scientific Reports. 2022 ; 12 1-14.[citado 2024 nov. 11 ] Available from: https://repositorio.usp.br/directbitstream/86d8ec26-96c6-424e-a56e-717547051442/3105258-A%20divide-and-conquer%20approach%20for%20genomic%20prediction%20in%20rubber%20tree%20using%20machine%20learning.pdf
Artigo de periodico
Short-term and spike-timing-dependent plasticity facilitate the formation of modular neural networks (2021)
Lameu, Ewandson Luiz ; Borges, Fernando S.; Iarosz, Kelly ; Protachevicz, R. P. ; Antonopoulos, Chris G. ; Macau, Elbert E.N.; Batista, Antonio
Source: Communications in Nonlinear Science and Numerical Simulation. Unidade: IF
Subjects: BIOFÍSICA, REDES NEURAIS, PLASTICIDADE NEURONAL, SINAPSE, NEUROTRANSMISSORES
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ABNT
LAMEU, Ewandson Luiz et al. Short-term and spike-timing-dependent plasticity facilitate the formation of modular neural networks. Communications in Nonlinear Science and Numerical Simulation, v. 96, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.cnsns.2020.105689. Acesso em: 11 nov. 2024.
APA
Lameu, E. L., Borges, F. S., Iarosz, K., Protachevicz, R. P., Antonopoulos, C. G., Macau, E. E. N., & Batista, A. (2021). Short-term and spike-timing-dependent plasticity facilitate the formation of modular neural networks. Communications in Nonlinear Science and Numerical Simulation, 96. doi:10.1016/j.cnsns.2020.105689
NLM
Lameu EL, Borges FS, Iarosz K, Protachevicz RP, Antonopoulos CG, Macau EEN, Batista A. Short-term and spike-timing-dependent plasticity facilitate the formation of modular neural networks [Internet]. Communications in Nonlinear Science and Numerical Simulation. 2021 ; 96[citado 2024 nov. 11 ] Available from: https://doi.org/10.1016/j.cnsns.2020.105689
Vancouver
Lameu EL, Borges FS, Iarosz K, Protachevicz RP, Antonopoulos CG, Macau EEN, Batista A. Short-term and spike-timing-dependent plasticity facilitate the formation of modular neural networks [Internet]. Communications in Nonlinear Science and Numerical Simulation. 2021 ; 96[citado 2024 nov. 11 ] Available from: https://doi.org/10.1016/j.cnsns.2020.105689
Artigo de periodico
Fine scale surface climate in complex terrain using machine learning (2021)
Martin, Thomas C. M ; Rocha, Humberto Ribeiro da ; Perez, Gabriel M. P
Source: International Journal of Climatology. Unidade: IAG
Subjects: METEOROLOGIA SINÓTICA, REDES NEURAIS, CLIMA
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ABNT
MARTIN, Thomas C. M e ROCHA, Humberto Ribeiro da e PEREZ, Gabriel M. P. Fine scale surface climate in complex terrain using machine learning. International Journal of Climatology, v. 41, n. Ja 2021, p. 233-250, 2021Tradução . . Disponível em: https://doi.org/10.1002/joc.6617. Acesso em: 11 nov. 2024.
APA
Martin, T. C. M., Rocha, H. R. da, & Perez, G. M. P. (2021). Fine scale surface climate in complex terrain using machine learning. International Journal of Climatology, 41( Ja 2021), 233-250. doi:10.1002/joc.6617
NLM
Martin TCM, Rocha HR da, Perez GMP. Fine scale surface climate in complex terrain using machine learning [Internet]. International Journal of Climatology. 2021 ; 41( Ja 2021): 233-250.[citado 2024 nov. 11 ] Available from: https://doi.org/10.1002/joc.6617
Vancouver
Martin TCM, Rocha HR da, Perez GMP. Fine scale surface climate in complex terrain using machine learning [Internet]. International Journal of Climatology. 2021 ; 41( Ja 2021): 233-250.[citado 2024 nov. 11 ] Available from: https://doi.org/10.1002/joc.6617
Artigo de periodico
Self-sustained activity of low firing rate in balanced networks (2020)
Borges, F.S.; Protachevicz, P.R. ; Pena, Rodrigo Felipe de Oliveira ; Lameu, E.L.; Higa, G.S.V.; Kihara, A.H.; Matias, F.S. ; Antonopoulos, C.G.; De Pasquale, Roberto ; Roque, Antônio Carlos ; Iarosz, K.C. ; Ji, P.; Batista, A.M.
Source: Physica A: Statistical Mechanics and its Applications. Unidades: ICB, FFCLRP, IF
Subjects: BIOFÍSICA, REDES NEURAIS, CÉREBRO, PROCESSOS COGNITIVOS, NEURÔNIOS, SINAPSE
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ABNT
BORGES, F.S. et al. Self-sustained activity of low firing rate in balanced networks. Physica A: Statistical Mechanics and its Applications, v. 537, 2020Tradução . . Disponível em: https://doi.org/10.1016/j.physa.2019.122671. Acesso em: 11 nov. 2024.
APA
Borges, F. S., Protachevicz, P. R., Pena, R. F. de O., Lameu, E. L., Higa, G. S. V., Kihara, A. H., et al. (2020). Self-sustained activity of low firing rate in balanced networks. Physica A: Statistical Mechanics and its Applications, 537. doi:10.1016/j.physa.2019.122671
NLM
Borges FS, Protachevicz PR, Pena RF de O, Lameu EL, Higa GSV, Kihara AH, Matias FS, Antonopoulos CG, De Pasquale R, Roque AC, Iarosz KC, Ji P, Batista AM. Self-sustained activity of low firing rate in balanced networks [Internet]. Physica A: Statistical Mechanics and its Applications. 2020 ; 537[citado 2024 nov. 11 ] Available from: https://doi.org/10.1016/j.physa.2019.122671
Vancouver
Borges FS, Protachevicz PR, Pena RF de O, Lameu EL, Higa GSV, Kihara AH, Matias FS, Antonopoulos CG, De Pasquale R, Roque AC, Iarosz KC, Ji P, Batista AM. Self-sustained activity of low firing rate in balanced networks [Internet]. Physica A: Statistical Mechanics and its Applications. 2020 ; 537[citado 2024 nov. 11 ] Available from: https://doi.org/10.1016/j.physa.2019.122671
Artigo de periodico
Influence of Autapses on Synchronization in Neural Networks With Chemical Synapses (2020)
Protachevicz, Paulo R; Iarosz, Kelly Cristiane ; Caldas, Iberê Luiz ; Antonopoulos, Chris G; Batista, Antonio Marcos ; Kurths, Jurgen
Source: Frontiers in Systems Neuroscience. Unidade: IF
Subjects: SINCRONIZAÇÃO, REDES NEURAIS
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ABNT
PROTACHEVICZ, Paulo R et al. Influence of Autapses on Synchronization in Neural Networks With Chemical Synapses. Frontiers in Systems Neuroscience, v. 14, 2020Tradução . . Disponível em: https://doi.org/10.3389/fnsys.2020.604563. Acesso em: 11 nov. 2024.
APA
Protachevicz, P. R., Iarosz, K. C., Caldas, I. L., Antonopoulos, C. G., Batista, A. M., & Kurths, J. (2020). Influence of Autapses on Synchronization in Neural Networks With Chemical Synapses. Frontiers in Systems Neuroscience, 14. doi:10.3389/fnsys.2020.604563
NLM
Protachevicz PR, Iarosz KC, Caldas IL, Antonopoulos CG, Batista AM, Kurths J. Influence of Autapses on Synchronization in Neural Networks With Chemical Synapses [Internet]. Frontiers in Systems Neuroscience. 2020 ; 14[citado 2024 nov. 11 ] Available from: https://doi.org/10.3389/fnsys.2020.604563
Vancouver
Protachevicz PR, Iarosz KC, Caldas IL, Antonopoulos CG, Batista AM, Kurths J. Influence of Autapses on Synchronization in Neural Networks With Chemical Synapses [Internet]. Frontiers in Systems Neuroscience. 2020 ; 14[citado 2024 nov. 11 ] Available from: https://doi.org/10.3389/fnsys.2020.604563
Trabalho de evento
Towards a smart fault tolerant indoor localization system through recurrent neural networks (2019)
Carvalho, Eduardo Crevelário de; Ferreira, Bruno V; Rocha Filho, Geraldo Pereira ; Gomes, Pedro Henrique ; Freitas, Gustavo M; Vargas, Patricia Amancio; Ueyama, Jó ; Pessin, Gustavo
Source: Proceedings. Conference titles: International Joint Conference on Neural Networks - IJCNN. Unidade: ICMC
Subjects: REDES NEURAIS, FALHAS COMPUTACIONAIS
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ABNT
CARVALHO, Eduardo Crevelário de et al. Towards a smart fault tolerant indoor localization system through recurrent neural networks. 2019, Anais.. Piscataway: IEEE, 2019. Disponível em: https://doi.org/10.1109/IJCNN.2019.8852007. Acesso em: 11 nov. 2024.
APA
Carvalho, E. C. de, Ferreira, B. V., Rocha Filho, G. P., Gomes, P. H., Freitas, G. M., Vargas, P. A., et al. (2019). Towards a smart fault tolerant indoor localization system through recurrent neural networks. In Proceedings. Piscataway: IEEE. doi:10.1109/IJCNN.2019.8852007
NLM
Carvalho EC de, Ferreira BV, Rocha Filho GP, Gomes PH, Freitas GM, Vargas PA, Ueyama J, Pessin G. Towards a smart fault tolerant indoor localization system through recurrent neural networks [Internet]. Proceedings. 2019 ;[citado 2024 nov. 11 ] Available from: https://doi.org/10.1109/IJCNN.2019.8852007
Vancouver
Carvalho EC de, Ferreira BV, Rocha Filho GP, Gomes PH, Freitas GM, Vargas PA, Ueyama J, Pessin G. Towards a smart fault tolerant indoor localization system through recurrent neural networks [Internet]. Proceedings. 2019 ;[citado 2024 nov. 11 ] Available from: https://doi.org/10.1109/IJCNN.2019.8852007
Artigo de periodico
Efficient and robust ANN-based method for an improved protection of VSC-HVDC systems (2018)
Merlin, Victor Luiz; Santos, Ricardo Caneloi dos ; Le Blond, Simon; Coury, Denis Vinicius
Source: IET Renewable Power Generation. Unidade: EESC
Subjects: SISTEMAS ELÉTRICOS DE POTÊNCIA, RECONHECIMENTO DE PADRÕES, REDES NEURAIS, ALGORITMOS, DISTRIBUIÇÃO DE ENERGIA ELÉTRICA, CONVERSORES ELÉTRICOS
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ABNT
MERLIN, Victor Luiz et al. Efficient and robust ANN-based method for an improved protection of VSC-HVDC systems. IET Renewable Power Generation, v. 12, n. 13, p. 1555-1562, 2018Tradução . . Disponível em: http://dx.doi.org/10.1049/iet-rpg.2018.5097. Acesso em: 11 nov. 2024.
APA
Merlin, V. L., Santos, R. C. dos, Le Blond, S., & Coury, D. V. (2018). Efficient and robust ANN-based method for an improved protection of VSC-HVDC systems. IET Renewable Power Generation, 12( 13), 1555-1562. doi:10.1049/iet-rpg.2018.5097
NLM
Merlin VL, Santos RC dos, Le Blond S, Coury DV. Efficient and robust ANN-based method for an improved protection of VSC-HVDC systems [Internet]. IET Renewable Power Generation. 2018 ; 12( 13): 1555-1562.[citado 2024 nov. 11 ] Available from: http://dx.doi.org/10.1049/iet-rpg.2018.5097
Vancouver
Merlin VL, Santos RC dos, Le Blond S, Coury DV. Efficient and robust ANN-based method for an improved protection of VSC-HVDC systems [Internet]. IET Renewable Power Generation. 2018 ; 12( 13): 1555-1562.[citado 2024 nov. 11 ] Available from: http://dx.doi.org/10.1049/iet-rpg.2018.5097
Artigo de periodico
Pre-processing and transfer entropy measures in motor neurons controlling limb movements (2017)
Santos, Fernando P.; Maciel, Carlos Dias; Newland, Philip L.
Source: Journal of Computational Neuroscience. Unidade: EESC
Subjects: REDES NEURAIS, TEORIA DA INFORMAÇÃO, ANÁLISE ESPECTRAL, ENGENHARIA ELÉTRICA
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ABNT
SANTOS, Fernando P. e MACIEL, Carlos Dias e NEWLAND, Philip L. Pre-processing and transfer entropy measures in motor neurons controlling limb movements. Journal of Computational Neuroscience, v. 43, n. 2, p. 159-171, 2017Tradução . . Disponível em: https://doi.org/10.1007/s10827-017-0656-6. Acesso em: 11 nov. 2024.
APA
Santos, F. P., Maciel, C. D., & Newland, P. L. (2017). Pre-processing and transfer entropy measures in motor neurons controlling limb movements. Journal of Computational Neuroscience, 43( 2), 159-171. doi:10.1007/s10827-017-0656-6
NLM
Santos FP, Maciel CD, Newland PL. Pre-processing and transfer entropy measures in motor neurons controlling limb movements [Internet]. Journal of Computational Neuroscience. 2017 ; 43( 2): 159-171.[citado 2024 nov. 11 ] Available from: https://doi.org/10.1007/s10827-017-0656-6
Vancouver
Santos FP, Maciel CD, Newland PL. Pre-processing and transfer entropy measures in motor neurons controlling limb movements [Internet]. Journal of Computational Neuroscience. 2017 ; 43( 2): 159-171.[citado 2024 nov. 11 ] Available from: https://doi.org/10.1007/s10827-017-0656-6
Artigo de periodico
An intelligent backup scheme for current source converter-high voltage direct current systems based on artificial neural networks (2017)
Santos, Ricardo Caneloi dos ; Le Blond, Simon; Coury, Denis Vinicius ; Aggarwal, Raj K
Source: Electric Power Components and Systems. Unidade: EESC
Subjects: SISTEMAS ELÉTRICOS DE POTÊNCIA, CONVERSORES ELÉTRICOS, REDES NEURAIS, RECONHECIMENTO DE PADRÕES
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ABNT
SANTOS, Ricardo Caneloi dos et al. An intelligent backup scheme for current source converter-high voltage direct current systems based on artificial neural networks. Electric Power Components and Systems, v. 45, n. 17, p. 1892-1904, 2017Tradução . . Disponível em: http://dx.doi.org/10.1080/15325008.2017.1378946. Acesso em: 11 nov. 2024.
APA
Santos, R. C. dos, Le Blond, S., Coury, D. V., & Aggarwal, R. K. (2017). An intelligent backup scheme for current source converter-high voltage direct current systems based on artificial neural networks. Electric Power Components and Systems, 45( 17), 1892-1904. doi:10.1080/15325008.2017.1378946
NLM
Santos RC dos, Le Blond S, Coury DV, Aggarwal RK. An intelligent backup scheme for current source converter-high voltage direct current systems based on artificial neural networks [Internet]. Electric Power Components and Systems. 2017 ; 45( 17): 1892-1904.[citado 2024 nov. 11 ] Available from: http://dx.doi.org/10.1080/15325008.2017.1378946
Vancouver
Santos RC dos, Le Blond S, Coury DV, Aggarwal RK. An intelligent backup scheme for current source converter-high voltage direct current systems based on artificial neural networks [Internet]. Electric Power Components and Systems. 2017 ; 45( 17): 1892-1904.[citado 2024 nov. 11 ] Available from: http://dx.doi.org/10.1080/15325008.2017.1378946
Artigo de periodico
Compact descriptors for sketch-based image retrieval using a triplet loss convolutional neural network (2017)
Bui, T; Ribeiro, L; Ponti, Moacir Antonelli ; Collomosse, J
Source: Computer Vision and Image Understanding. Unidade: ICMC
Subjects: PROCESSAMENTO DE IMAGENS, RECONHECIMENTO DE IMAGEM, APRENDIZADO COMPUTACIONAL, REDES NEURAIS
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ABNT
BUI, T et al. Compact descriptors for sketch-based image retrieval using a triplet loss convolutional neural network. Computer Vision and Image Understanding, v. No 2017, p. 27-37, 2017Tradução . . Disponível em: https://doi.org/10.1016/j.cviu.2017.06.007. Acesso em: 11 nov. 2024.
APA
Bui, T., Ribeiro, L., Ponti, M. A., & Collomosse, J. (2017). Compact descriptors for sketch-based image retrieval using a triplet loss convolutional neural network. Computer Vision and Image Understanding, No 2017, 27-37. doi:10.1016/j.cviu.2017.06.007
NLM
Bui T, Ribeiro L, Ponti MA, Collomosse J. Compact descriptors for sketch-based image retrieval using a triplet loss convolutional neural network [Internet]. Computer Vision and Image Understanding. 2017 ; No 2017 27-37.[citado 2024 nov. 11 ] Available from: https://doi.org/10.1016/j.cviu.2017.06.007
Vancouver
Bui T, Ribeiro L, Ponti MA, Collomosse J. Compact descriptors for sketch-based image retrieval using a triplet loss convolutional neural network [Internet]. Computer Vision and Image Understanding. 2017 ; No 2017 27-37.[citado 2024 nov. 11 ] Available from: https://doi.org/10.1016/j.cviu.2017.06.007
Artigo de periodico
A novel and comprehensive single terminal ANN based decision support for relaying of VSC based HVDC links (2016)
Santos, Ricardo Caneloi dos; Le Blond, Simon; Coury, Denis Vinicius; Aggarwal, Raj K.
Source: Electric Power Systems Research. Unidade: EESC
Subjects: RECONHECIMENTO DE PADRÕES, RELÉS, PROTEÇÃO DE SISTEMAS ELÉTRICOS, REDES NEURAIS, SISTEMAS ELÉTRICOS DE POTÊNCIA
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ABNT
SANTOS, Ricardo Caneloi dos et al. A novel and comprehensive single terminal ANN based decision support for relaying of VSC based HVDC links. Electric Power Systems Research, v. 141, p. 333-343, 2016Tradução . . Disponível em: https://doi.org/10.1016/j.epsr.2016.08.003. Acesso em: 11 nov. 2024.
APA
Santos, R. C. dos, Le Blond, S., Coury, D. V., & Aggarwal, R. K. (2016). A novel and comprehensive single terminal ANN based decision support for relaying of VSC based HVDC links. Electric Power Systems Research, 141, 333-343. doi:10.1016/j.epsr.2016.08.003
NLM
Santos RC dos, Le Blond S, Coury DV, Aggarwal RK. A novel and comprehensive single terminal ANN based decision support for relaying of VSC based HVDC links [Internet]. Electric Power Systems Research. 2016 ; 141 333-343.[citado 2024 nov. 11 ] Available from: https://doi.org/10.1016/j.epsr.2016.08.003
Vancouver
Santos RC dos, Le Blond S, Coury DV, Aggarwal RK. A novel and comprehensive single terminal ANN based decision support for relaying of VSC based HVDC links [Internet]. Electric Power Systems Research. 2016 ; 141 333-343.[citado 2024 nov. 11 ] Available from: https://doi.org/10.1016/j.epsr.2016.08.003
Artigo de periodico
Investigation on the evolution of a robotic controller for autonomous vehicle navigation (2014)
Pessin, Gustavo ; Souza, Jefferson Rodrigo de; Osório, Fernando Santos ; Faiçal, Bruno Squizato ; Filho, Geraldo Pereira Rocha; Ueyama, Jó ; Vargas, Patrícia A; Wolf, Denis Fernando
Source: Journal of Intelligent and Fuzzy Systems. Unidade: ICMC
Subjects: VEÍCULOS AUTÔNOMOS, REDES NEURAIS, VISÃO COMPUTACIONAL
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ABNT
PESSIN, Gustavo et al. Investigation on the evolution of a robotic controller for autonomous vehicle navigation. Journal of Intelligent and Fuzzy Systems, v. 27, n. 6, p. 3047-3058, 2014Tradução . . Disponível em: https://doi.org/10.3233/IFS-141262. Acesso em: 11 nov. 2024.
APA
Pessin, G., Souza, J. R. de, Osório, F. S., Faiçal, B. S., Filho, G. P. R., Ueyama, J., et al. (2014). Investigation on the evolution of a robotic controller for autonomous vehicle navigation. Journal of Intelligent and Fuzzy Systems, 27( 6), 3047-3058. doi:10.3233/IFS-141262
NLM
Pessin G, Souza JR de, Osório FS, Faiçal BS, Filho GPR, Ueyama J, Vargas PA, Wolf DF. Investigation on the evolution of a robotic controller for autonomous vehicle navigation [Internet]. Journal of Intelligent and Fuzzy Systems. 2014 ; 27( 6): 3047-3058.[citado 2024 nov. 11 ] Available from: https://doi.org/10.3233/IFS-141262
Vancouver
Pessin G, Souza JR de, Osório FS, Faiçal BS, Filho GPR, Ueyama J, Vargas PA, Wolf DF. Investigation on the evolution of a robotic controller for autonomous vehicle navigation [Internet]. Journal of Intelligent and Fuzzy Systems. 2014 ; 27( 6): 3047-3058.[citado 2024 nov. 11 ] Available from: https://doi.org/10.3233/IFS-141262
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: 11 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. 11 ] 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. 11 ] Available from: https://doi.org/10.1016/S1570-7946(08)80065-X

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