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Artigo de periodico
Finite element time-domain body-of-revolution Maxwell solver based on discrete exterior calculus (2019)
Dong-Yeop, Na; Borges, Ben-Hur Viana; Teixeira, Fernando L.
Source: Journal of Computational Physics. Unidade: EESC
Subjects: DIFERENÇAS FINITAS, ÓPTICA ELETRÔNICA, ENGENHARIA ELÉTRICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
DONG-YEOP, Na e BORGES, Ben-Hur Viana e TEIXEIRA, Fernando L. Finite element time-domain body-of-revolution Maxwell solver based on discrete exterior calculus. Journal of Computational Physics, v. 376, n. Ja 2019, p. 249-275, 2019Tradução . . Disponível em: https://doi.org/10.1016/j.jcp.2018.09.024. Acesso em: 05 nov. 2024.
APA
Dong-Yeop, N., Borges, B. -H. V., & Teixeira, F. L. (2019). Finite element time-domain body-of-revolution Maxwell solver based on discrete exterior calculus. Journal of Computational Physics, 376( Ja 2019), 249-275. doi:10.1016/j.jcp.2018.09.024
NLM
Dong-Yeop N, Borges B-HV, Teixeira FL. Finite element time-domain body-of-revolution Maxwell solver based on discrete exterior calculus [Internet]. Journal of Computational Physics. 2019 ; 376( Ja 2019): 249-275.[citado 2024 nov. 05 ] Available from: https://doi.org/10.1016/j.jcp.2018.09.024
Vancouver
Dong-Yeop N, Borges B-HV, Teixeira FL. Finite element time-domain body-of-revolution Maxwell solver based on discrete exterior calculus [Internet]. Journal of Computational Physics. 2019 ; 376( Ja 2019): 249-275.[citado 2024 nov. 05 ] Available from: https://doi.org/10.1016/j.jcp.2018.09.024
Artigo de periodico
Axisymmetric charge-conservative electromagnetic particle simulation algorithm on unstructured grids: application to microwave vacuum electronic devices (2017)
Dong-Yeop, Na; Omelchenko, Yuri A.; Moon, Haksu; Borges, Ben-Hur Viana ; Teixeira, Fernando L.
Source: Journal of Computational Physics. Unidade: EESC
Subjects: ALGORITMOS, DISPOSITIVOS ELETRÔNICOS, ELETROMAGNETISMO, ENGENHARIA ELÉTRICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
DONG-YEOP, Na et al. Axisymmetric charge-conservative electromagnetic particle simulation algorithm on unstructured grids: application to microwave vacuum electronic devices. Journal of Computational Physics, v. 346, p. 295-317, 2017Tradução . . Disponível em: https://doi.org/10.1016/j.jcp.2017.06.016. Acesso em: 05 nov. 2024.
APA
Dong-Yeop, N., Omelchenko, Y. A., Moon, H., Borges, B. -H. V., & Teixeira, F. L. (2017). Axisymmetric charge-conservative electromagnetic particle simulation algorithm on unstructured grids: application to microwave vacuum electronic devices. Journal of Computational Physics, 346, 295-317. doi:10.1016/j.jcp.2017.06.016
NLM
Dong-Yeop N, Omelchenko YA, Moon H, Borges B-HV, Teixeira FL. Axisymmetric charge-conservative electromagnetic particle simulation algorithm on unstructured grids: application to microwave vacuum electronic devices [Internet]. Journal of Computational Physics. 2017 ; 346 295-317.[citado 2024 nov. 05 ] Available from: https://doi.org/10.1016/j.jcp.2017.06.016
Vancouver
Dong-Yeop N, Omelchenko YA, Moon H, Borges B-HV, Teixeira FL. Axisymmetric charge-conservative electromagnetic particle simulation algorithm on unstructured grids: application to microwave vacuum electronic devices [Internet]. Journal of Computational Physics. 2017 ; 346 295-317.[citado 2024 nov. 05 ] Available from: https://doi.org/10.1016/j.jcp.2017.06.016
Artigo de periodico
Optimal weed population control using nonlinear programming (2015)
Stiegelmeier, Elenice Weber; Oliveira, Vilma Alves de ; Silva, Geraldo Nunes; Karam, Décio
Source: Computational and Applied Mathematics. Unidade: EESC
Subjects: PROGRAMAÇÃO NÃO LINEAR, PLANTAS DANINHAS, ENGENHARIA ELÉTRICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
STIEGELMEIER, Elenice Weber et al. Optimal weed population control using nonlinear programming. Computational and Applied Mathematics, v. 36, n. Ju 2017, p. 1043-1065, 2015Tradução . . Disponível em: https://doi.org/10.1007/s40314-015-0280-x. Acesso em: 05 nov. 2024.
APA
Stiegelmeier, E. W., Oliveira, V. A. de, Silva, G. N., & Karam, D. (2015). Optimal weed population control using nonlinear programming. Computational and Applied Mathematics, 36( Ju 2017), 1043-1065. doi:10.1007/s40314-015-0280-x
NLM
Stiegelmeier EW, Oliveira VA de, Silva GN, Karam D. Optimal weed population control using nonlinear programming [Internet]. Computational and Applied Mathematics. 2015 ; 36( Ju 2017): 1043-1065.[citado 2024 nov. 05 ] Available from: https://doi.org/10.1007/s40314-015-0280-x
Vancouver
Stiegelmeier EW, Oliveira VA de, Silva GN, Karam D. Optimal weed population control using nonlinear programming [Internet]. Computational and Applied Mathematics. 2015 ; 36( Ju 2017): 1043-1065.[citado 2024 nov. 05 ] Available from: https://doi.org/10.1007/s40314-015-0280-x
Artigo de periodico
Automatic segmentation of breast masses using enhanced ICA mixture model (2013)
Ribeiro, Patrícia B; Romero, Roseli Aparecida Francelin ; Oliveira, Patrícia Rufino; Schiabel, Homero; Verçosa, Luciana B
Source: Neurocomputing. Unidades: ICMC, EACH, EESC
Subjects: INTELIGÊNCIA ARTIFICIAL, OTIMIZAÇÃO COMBINATÓRIA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
RIBEIRO, Patrícia B et al. Automatic segmentation of breast masses using enhanced ICA mixture model. Neurocomputing, v. no 2013, p. 61-71, 2013Tradução . . Disponível em: https://doi.org/10.1016/j.neucom.2012.08.062. Acesso em: 05 nov. 2024.
APA
Ribeiro, P. B., Romero, R. A. F., Oliveira, P. R., Schiabel, H., & Verçosa, L. B. (2013). Automatic segmentation of breast masses using enhanced ICA mixture model. Neurocomputing, no 2013, 61-71. doi:10.1016/j.neucom.2012.08.062
NLM
Ribeiro PB, Romero RAF, Oliveira PR, Schiabel H, Verçosa LB. Automatic segmentation of breast masses using enhanced ICA mixture model [Internet]. Neurocomputing. 2013 ; no 2013 61-71.[citado 2024 nov. 05 ] Available from: https://doi.org/10.1016/j.neucom.2012.08.062
Vancouver
Ribeiro PB, Romero RAF, Oliveira PR, Schiabel H, Verçosa LB. Automatic segmentation of breast masses using enhanced ICA mixture model [Internet]. Neurocomputing. 2013 ; no 2013 61-71.[citado 2024 nov. 05 ] Available from: https://doi.org/10.1016/j.neucom.2012.08.062

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