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Artigo de periodico
Fast flapping aerodynamics prediction using a recurrent neural network (2023)
Pereira, João A. F.; Camacho, Emanuel A. R.; Marques, Flavio Donizeti ; Silva, Andre R. R
Source: Engineering Proceedings. Unidade: EESC
Subjects: PETRÓLEO, GASES, APRENDIZADO COMPUTACIONAL, AERODINÂMICA, REDES NEURAIS, ENGENHARIA MECÂNICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
PEREIRA, João A. F. et al. Fast flapping aerodynamics prediction using a recurrent neural network. Engineering Proceedings, v. 56, n. 1, p. 1-7, 2023Tradução . . Disponível em: https://dx.doi.org/10.3390/ASEC2023-16272. Acesso em: 02 nov. 2024.
APA
Pereira, J. A. F., Camacho, E. A. R., Marques, F. D., & Silva, A. R. R. (2023). Fast flapping aerodynamics prediction using a recurrent neural network. Engineering Proceedings, 56( 1), 1-7. doi:10.3390/ASEC2023-16272
NLM
Pereira JAF, Camacho EAR, Marques FD, Silva ARR. Fast flapping aerodynamics prediction using a recurrent neural network [Internet]. Engineering Proceedings. 2023 ; 56( 1): 1-7.[citado 2024 nov. 02 ] Available from: https://dx.doi.org/10.3390/ASEC2023-16272
Vancouver
Pereira JAF, Camacho EAR, Marques FD, Silva ARR. Fast flapping aerodynamics prediction using a recurrent neural network [Internet]. Engineering Proceedings. 2023 ; 56( 1): 1-7.[citado 2024 nov. 02 ] Available from: https://dx.doi.org/10.3390/ASEC2023-16272
Artigo de periodico
Assessing and predicting geogrid reduction factors after damage induced by dropping recycled aggregates (2023)
Fleury, Mateus Porto; Kamakura, Gustavo K.; Pitombo, Cira Souza ; Cunha, André Luiz Barbosa Nunes da; Ferreira, Fernanda B.; Silva, Jefferson Lins da
Source: Sustainability. Unidade: EESC
Subjects: DESENVOLVIMENTO SUSTENTÁVEL, GEOSSINTÉTICOS, REDES NEURAIS, TRANSPORTES
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
FLEURY, Mateus Porto et al. Assessing and predicting geogrid reduction factors after damage induced by dropping recycled aggregates. Sustainability, v. 15, n. 13, p. 1-23, 2023Tradução . . Disponível em: https://doi.org/10.3390/su15139942. Acesso em: 02 nov. 2024.
APA
Fleury, M. P., Kamakura, G. K., Pitombo, C. S., Cunha, A. L. B. N. da, Ferreira, F. B., & Silva, J. L. da. (2023). Assessing and predicting geogrid reduction factors after damage induced by dropping recycled aggregates. Sustainability, 15( 13), 1-23. doi:10.3390/su15139942
NLM
Fleury MP, Kamakura GK, Pitombo CS, Cunha ALBN da, Ferreira FB, Silva JL da. Assessing and predicting geogrid reduction factors after damage induced by dropping recycled aggregates [Internet]. Sustainability. 2023 ; 15( 13): 1-23.[citado 2024 nov. 02 ] Available from: https://doi.org/10.3390/su15139942
Vancouver
Fleury MP, Kamakura GK, Pitombo CS, Cunha ALBN da, Ferreira FB, Silva JL da. Assessing and predicting geogrid reduction factors after damage induced by dropping recycled aggregates [Internet]. Sustainability. 2023 ; 15( 13): 1-23.[citado 2024 nov. 02 ] Available from: https://doi.org/10.3390/su15139942
Trabalho de evento-anais periodico
Control of bio-inspired multi-robots through gestures using convolutional neural networks in simulated environment (2021)
Saraiva, Aratã Andrade ; Santos, Domingos Bruno S ; Ferreira, Nuno Miguel Fonseca ; Boaventura-Cunha, José
Source: Lecture Notes in Electrical Engineering. Conference titles: APCA International Conference on Automatic Control and Soft Computing - CONTROLO. Unidade: ICMC
Subjects: ROBÓTICA, VISÃO COMPUTACIONAL, REDES NEURAIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SARAIVA, Aratã Andrade et al. Control of bio-inspired multi-robots through gestures using convolutional neural networks in simulated environment. Lecture Notes in Electrical Engineering. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-030-58653-9_68. Acesso em: 02 nov. 2024. , 2021
APA
Saraiva, A. A., Santos, D. B. S., Ferreira, N. M. F., & Boaventura-Cunha, J. (2021). Control of bio-inspired multi-robots through gestures using convolutional neural networks in simulated environment. Lecture Notes in Electrical Engineering. Cham: Springer. doi:10.1007/978-3-030-58653-9_68
NLM
Saraiva AA, Santos DBS, Ferreira NMF, Boaventura-Cunha J. Control of bio-inspired multi-robots through gestures using convolutional neural networks in simulated environment [Internet]. Lecture Notes in Electrical Engineering. 2021 ; 695 707-718.[citado 2024 nov. 02 ] Available from: https://doi.org/10.1007/978-3-030-58653-9_68
Vancouver
Saraiva AA, Santos DBS, Ferreira NMF, Boaventura-Cunha J. Control of bio-inspired multi-robots through gestures using convolutional neural networks in simulated environment [Internet]. Lecture Notes in Electrical Engineering. 2021 ; 695 707-718.[citado 2024 nov. 02 ] Available from: https://doi.org/10.1007/978-3-030-58653-9_68
Artigo de periodico
Neuroevolution for solving multiobjective knapsack problems (2019)
Denysiuk, Roman; Gaspar-Cunha, António; Delbem, Alexandre Cláudio Botazzo
Source: Expert Systems with Applications. Unidade: ICMC
Subjects: ALGORITMOS GENÉTICOS, REDES NEURAIS, ANÁLISE DE DESEMPENHO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
DENYSIUK, Roman e GASPAR-CUNHA, António e DELBEM, Alexandre Cláudio Botazzo. Neuroevolution for solving multiobjective knapsack problems. Expert Systems with Applications, v. 116, p. 65-77, 2019Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2018.09.004. Acesso em: 02 nov. 2024.
APA
Denysiuk, R., Gaspar-Cunha, A., & Delbem, A. C. B. (2019). Neuroevolution for solving multiobjective knapsack problems. Expert Systems with Applications, 116, 65-77. doi:10.1016/j.eswa.2018.09.004
NLM
Denysiuk R, Gaspar-Cunha A, Delbem ACB. Neuroevolution for solving multiobjective knapsack problems [Internet]. Expert Systems with Applications. 2019 ; 116 65-77.[citado 2024 nov. 02 ] Available from: https://doi.org/10.1016/j.eswa.2018.09.004
Vancouver
Denysiuk R, Gaspar-Cunha A, Delbem ACB. Neuroevolution for solving multiobjective knapsack problems [Internet]. Expert Systems with Applications. 2019 ; 116 65-77.[citado 2024 nov. 02 ] Available from: https://doi.org/10.1016/j.eswa.2018.09.004
Trabalho de evento
A multi-population genetic algorithm approach for PID controller auto-tuning (2012)
Toledo, Claudio Fabiano Motta ; Lima, João Miguel Gago Pontes de Brito; Arantes, Márcio da Silva
Source: Proceedings. Conference titles: IEEE International Conference on Emerging Technologies & Factory Automation - ETFA. Unidade: ICMC
Subjects: ALGORITMOS GENÉTICOS, CONTROLADORES PROGRAMÁVEIS, REDES NEURAIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
TOLEDO, Claudio Fabiano Motta e LIMA, João Miguel Gago Pontes de Brito e ARANTES, Márcio da Silva. A multi-population genetic algorithm approach for PID controller auto-tuning. 2012, Anais.. Piscataway: IEEE, 2012. Disponível em: https://doi.org/10.1109/ETFA.2012.6489620. Acesso em: 02 nov. 2024.
APA
Toledo, C. F. M., Lima, J. M. G. P. de B., & Arantes, M. da S. (2012). A multi-population genetic algorithm approach for PID controller auto-tuning. In Proceedings. Piscataway: IEEE. doi:10.1109/ETFA.2012.6489620
NLM
Toledo CFM, Lima JMGP de B, Arantes M da S. A multi-population genetic algorithm approach for PID controller auto-tuning [Internet]. Proceedings. 2012 ;[citado 2024 nov. 02 ] Available from: https://doi.org/10.1109/ETFA.2012.6489620
Vancouver
Toledo CFM, Lima JMGP de B, Arantes M da S. A multi-population genetic algorithm approach for PID controller auto-tuning [Internet]. Proceedings. 2012 ;[citado 2024 nov. 02 ] Available from: https://doi.org/10.1109/ETFA.2012.6489620

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