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Artigo de periodico
Topology optimization for stability problems of submerged structures using the TOBS method (2022)
Mendes, Eduardo Aguiar; Sivapuram, Raghavendra; Rodríguez, René Quispe; Pinto, Marcio Augusto Sampaio; Picelli, Raphael Ricomini
Source: Computers & Structures. Unidade: EP
Subjects: TOPOLOGIA, MÉTODOS TOPOLÓGICOS, FLAMBAGEM
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ABNT
MENDES, Eduardo Aguiar et al. Topology optimization for stability problems of submerged structures using the TOBS method. Computers & Structures, v. 259, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.compstruc.2021.106685. Acesso em: 20 jul. 2024.
APA
Mendes, E. A., Sivapuram, R., Rodríguez, R. Q., Pinto, M. A. S., & Picelli, R. R. (2022). Topology optimization for stability problems of submerged structures using the TOBS method. Computers & Structures, 259. doi:10.1016/j.compstruc.2021.106685
NLM
Mendes EA, Sivapuram R, Rodríguez RQ, Pinto MAS, Picelli RR. Topology optimization for stability problems of submerged structures using the TOBS method [Internet]. Computers & Structures. 2022 ; 259[citado 2024 jul. 20 ] Available from: https://doi.org/10.1016/j.compstruc.2021.106685
Vancouver
Mendes EA, Sivapuram R, Rodríguez RQ, Pinto MAS, Picelli RR. Topology optimization for stability problems of submerged structures using the TOBS method [Internet]. Computers & Structures. 2022 ; 259[citado 2024 jul. 20 ] Available from: https://doi.org/10.1016/j.compstruc.2021.106685
Artigo de periodico
A Deep-learning method for the prediction of socio-economic indicators from street-view imagery using a case study from Brazil (2022)
Machicao, Jeaneth ; Specht, Alison; Vellenich, Danton ; Meneguzzi, Leandro ; David, Romain; Stall, Shelley; Ferraz, Katia ; Mabile, Laurence; O’Brien, Margaret; Corrêa, Pedro
Source: Data Science Journal. Unidades: EP, ESALQ
Subjects: APRENDIZADO COMPUTACIONAL, COLETA DE DADOS, IMAGEM DIGITAL, INDICADORES SOCIOECONÔMICOS, REDES NEURAIS
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ABNT
MACHICAO, Jeaneth et al. A Deep-learning method for the prediction of socio-economic indicators from street-view imagery using a case study from Brazil. Data Science Journal, v. 21, n. 6, p. 1–15, 2022Tradução . . Disponível em: https://doi.org/10.5334/dsj-2022-006. Acesso em: 20 jul. 2024.
APA
Machicao, J., Specht, A., Vellenich, D., Meneguzzi, L., David, R., Stall, S., et al. (2022). A Deep-learning method for the prediction of socio-economic indicators from street-view imagery using a case study from Brazil. Data Science Journal, 21( 6), 1–15. doi:10.5334/dsj-2022-006
NLM
Machicao J, Specht A, Vellenich D, Meneguzzi L, David R, Stall S, Ferraz K, Mabile L, O’Brien M, Corrêa P. A Deep-learning method for the prediction of socio-economic indicators from street-view imagery using a case study from Brazil [Internet]. Data Science Journal. 2022 ; 21( 6): 1–15.[citado 2024 jul. 20 ] Available from: https://doi.org/10.5334/dsj-2022-006
Vancouver
Machicao J, Specht A, Vellenich D, Meneguzzi L, David R, Stall S, Ferraz K, Mabile L, O’Brien M, Corrêa P. A Deep-learning method for the prediction of socio-economic indicators from street-view imagery using a case study from Brazil [Internet]. Data Science Journal. 2022 ; 21( 6): 1–15.[citado 2024 jul. 20 ] Available from: https://doi.org/10.5334/dsj-2022-006
Trabalho de evento-anais periodico
A geometry trimming approach for topology optimization of acoustic problems (2021)
Castro, Thaís Almeida Ribeiro de; Sivapuram, Raghavendra; Andrade, Marco Aurélio Brizzotti ; Pinto, Marcio Augusto Sampaio; Sanches, Renato Picelli
Source: Proceedings. Conference titles: Ibero-Latin-American Congress on Computational Methods in Engineering - CILAMCE. Unidades: IF, EP
Subjects: TOPOLOGIA, MÉTODO DOS ELEMENTOS FINITOS
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ABNT
CASTRO, Thaís Almeida Ribeiro de et al. A geometry trimming approach for topology optimization of acoustic problems. Proceedings. Belo Horizonte: Associação Brasileira de Métodos Computacionais em Engenharia. Disponível em: https://cilamce.com.br/anais/arearestrita/apresentacoes/236/9339.pdf. Acesso em: 20 jul. 2024. , 2021
APA
Castro, T. A. R. de, Sivapuram, R., Andrade, M. A. B., Pinto, M. A. S., & Sanches, R. P. (2021). A geometry trimming approach for topology optimization of acoustic problems. Proceedings. Belo Horizonte: Associação Brasileira de Métodos Computacionais em Engenharia. Recuperado de https://cilamce.com.br/anais/arearestrita/apresentacoes/236/9339.pdf
NLM
Castro TAR de, Sivapuram R, Andrade MAB, Pinto MAS, Sanches RP. A geometry trimming approach for topology optimization of acoustic problems [Internet]. Proceedings. 2021 ;[citado 2024 jul. 20 ] Available from: https://cilamce.com.br/anais/arearestrita/apresentacoes/236/9339.pdf
Vancouver
Castro TAR de, Sivapuram R, Andrade MAB, Pinto MAS, Sanches RP. A geometry trimming approach for topology optimization of acoustic problems [Internet]. Proceedings. 2021 ;[citado 2024 jul. 20 ] Available from: https://cilamce.com.br/anais/arearestrita/apresentacoes/236/9339.pdf
Artigo de periodico
Correlating the chemical and spectroscopic characteristics of natural organic matter with the photodegradation of sulfamerazine (2016)
Batista, Ana Paula dos Santos ; Teixeira, Antonio Carlos S. C. ; Cooper, William J; Cottrell, Barbara A
Source: Water Research. Unidade: EP
Subjects: ANTIBIÓTICOS, DEGRADAÇÃO AMBIENTAL
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ABNT
BATISTA, Ana Paula dos Santos et al. Correlating the chemical and spectroscopic characteristics of natural organic matter with the photodegradation of sulfamerazine. Water Research, v. 93, p. 20-29, 2016Tradução . . Disponível em: https://doi.org/10.1016/j.watres.2015.11.036. Acesso em: 20 jul. 2024.
APA
Batista, A. P. dos S., Teixeira, A. C. S. C., Cooper, W. J., & Cottrell, B. A. (2016). Correlating the chemical and spectroscopic characteristics of natural organic matter with the photodegradation of sulfamerazine. Water Research, 93, 20-29. doi:10.1016/j.watres.2015.11.036
NLM
Batista AP dos S, Teixeira ACSC, Cooper WJ, Cottrell BA. Correlating the chemical and spectroscopic characteristics of natural organic matter with the photodegradation of sulfamerazine [Internet]. Water Research. 2016 ; 93 20-29.[citado 2024 jul. 20 ] Available from: https://doi.org/10.1016/j.watres.2015.11.036
Vancouver
Batista AP dos S, Teixeira ACSC, Cooper WJ, Cottrell BA. Correlating the chemical and spectroscopic characteristics of natural organic matter with the photodegradation of sulfamerazine [Internet]. Water Research. 2016 ; 93 20-29.[citado 2024 jul. 20 ] Available from: https://doi.org/10.1016/j.watres.2015.11.036
Artigo de periodico
A simplified electrostatic model for hydrolase catalysis (2015)
Pessôa Filho, Pedro de Alcântara ; Prausnitz, John M
Source: International Journal of Biological Macromolecules. Unidade: EP
Subjects: ENZIMAS, HIDRÓLISE
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
PESSÔA FILHO, Pedro de Alcântara e PRAUSNITZ, John M. A simplified electrostatic model for hydrolase catalysis. International Journal of Biological Macromolecules, v. 78, p. 257-265, 2015Tradução . . Disponível em: https://doi.org/10.1016/j.ijbiomac.2015.04.010. Acesso em: 20 jul. 2024.
APA
Pessôa Filho, P. de A., & Prausnitz, J. M. (2015). A simplified electrostatic model for hydrolase catalysis. International Journal of Biological Macromolecules, 78, 257-265. doi:10.1016/j.ijbiomac.2015.04.010
NLM
Pessôa Filho P de A, Prausnitz JM. A simplified electrostatic model for hydrolase catalysis [Internet]. International Journal of Biological Macromolecules. 2015 ; 78 257-265.[citado 2024 jul. 20 ] Available from: https://doi.org/10.1016/j.ijbiomac.2015.04.010
Vancouver
Pessôa Filho P de A, Prausnitz JM. A simplified electrostatic model for hydrolase catalysis [Internet]. International Journal of Biological Macromolecules. 2015 ; 78 257-265.[citado 2024 jul. 20 ] Available from: https://doi.org/10.1016/j.ijbiomac.2015.04.010

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