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Artigo de periodico
A thermal model for topology optimization in additive manufacturing: design of support structures and geometry orientation (2024)
Haveroth, Geovane Augusto ; Thore, Carl-Johan ; Ausas, Roberto Federico ; Jakobsson, Stefan; Cuminato, José Alberto ; Correa, Maicon Ribeiro
Source: Computers and Structures. Unidade: ICMC
Subjects: TOPOLOGIA, CONDUTIVIDADE TÉRMICA, ALGORITMOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
HAVEROTH, Geovane Augusto et al. A thermal model for topology optimization in additive manufacturing: design of support structures and geometry orientation. Computers and Structures, v. 301, p. 1-16, 2024Tradução . . Disponível em: https://doi.org/10.1016/j.compstruc.2024.107453. Acesso em: 07 set. 2024.
APA
Haveroth, G. A., Thore, C. -J., Ausas, R. F., Jakobsson, S., Cuminato, J. A., & Correa, M. R. (2024). A thermal model for topology optimization in additive manufacturing: design of support structures and geometry orientation. Computers and Structures, 301, 1-16. doi:10.1016/j.compstruc.2024.107453
NLM
Haveroth GA, Thore C-J, Ausas RF, Jakobsson S, Cuminato JA, Correa MR. A thermal model for topology optimization in additive manufacturing: design of support structures and geometry orientation [Internet]. Computers and Structures. 2024 ; 301 1-16.[citado 2024 set. 07 ] Available from: https://doi.org/10.1016/j.compstruc.2024.107453
Vancouver
Haveroth GA, Thore C-J, Ausas RF, Jakobsson S, Cuminato JA, Correa MR. A thermal model for topology optimization in additive manufacturing: design of support structures and geometry orientation [Internet]. Computers and Structures. 2024 ; 301 1-16.[citado 2024 set. 07 ] Available from: https://doi.org/10.1016/j.compstruc.2024.107453
Artigo de periodico
Detection of coffee fruits on tree branches using computer vision (2023)
Bazame, Helizani Couto ; Molin, José Paulo ; Althoff, Daniel ; Martello, Maurício
Source: Scientia Agricola. Unidade: ESALQ
Subjects: AGRICULTURA DE PRECISÃO, ALGORITMOS, APRENDIZADO COMPUTACIONAL, CAFÉ, FRUTO, MATURAÇÃO VEGETAL, VISÃO COMPUTACIONAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BAZAME, Helizani Couto et al. Detection of coffee fruits on tree branches using computer vision. Scientia Agricola, v. 80, p. 1-8, 2023Tradução . . Disponível em: https://doi.org/10.1590/1678-992X-2022-0064. Acesso em: 07 set. 2024.
APA
Bazame, H. C., Molin, J. P., Althoff, D., & Martello, M. (2023). Detection of coffee fruits on tree branches using computer vision. Scientia Agricola, 80, 1-8. doi:10.1590/1678-992X-2022-0064
NLM
Bazame HC, Molin JP, Althoff D, Martello M. Detection of coffee fruits on tree branches using computer vision [Internet]. Scientia Agricola. 2023 ; 80 1-8.[citado 2024 set. 07 ] Available from: https://doi.org/10.1590/1678-992X-2022-0064
Vancouver
Bazame HC, Molin JP, Althoff D, Martello M. Detection of coffee fruits on tree branches using computer vision [Internet]. Scientia Agricola. 2023 ; 80 1-8.[citado 2024 set. 07 ] Available from: https://doi.org/10.1590/1678-992X-2022-0064
Artigo de periodico
An efficient adaptive boundary algorithm to reconstruct Neumann boundary data in the MFS for the inverse Stefan problem (2019)
Reddy, G. M. M.; Vynnycky, M.; Cuminato, José Alberto
Source: Journal of Computational and Applied Mathematics. Unidade: ICMC
Subjects: MECÂNICA DOS FLUÍDOS COMPUTACIONAL, ANÁLISE NUMÉRICA, ESCOAMENTO MULTIFÁSICO, ALGORITMOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
REDDY, G. M. M. e VYNNYCKY, M. e CUMINATO, José Alberto. An efficient adaptive boundary algorithm to reconstruct Neumann boundary data in the MFS for the inverse Stefan problem. Journal of Computational and Applied Mathematics, v. 349, p. 21-40, 2019Tradução . . Disponível em: https://doi.org/10.1016/j.cam.2018.09.004. Acesso em: 07 set. 2024.
APA
Reddy, G. M. M., Vynnycky, M., & Cuminato, J. A. (2019). An efficient adaptive boundary algorithm to reconstruct Neumann boundary data in the MFS for the inverse Stefan problem. Journal of Computational and Applied Mathematics, 349, 21-40. doi:10.1016/j.cam.2018.09.004
NLM
Reddy GMM, Vynnycky M, Cuminato JA. An efficient adaptive boundary algorithm to reconstruct Neumann boundary data in the MFS for the inverse Stefan problem [Internet]. Journal of Computational and Applied Mathematics. 2019 ; 349 21-40.[citado 2024 set. 07 ] Available from: https://doi.org/10.1016/j.cam.2018.09.004
Vancouver
Reddy GMM, Vynnycky M, Cuminato JA. An efficient adaptive boundary algorithm to reconstruct Neumann boundary data in the MFS for the inverse Stefan problem [Internet]. Journal of Computational and Applied Mathematics. 2019 ; 349 21-40.[citado 2024 set. 07 ] Available from: https://doi.org/10.1016/j.cam.2018.09.004
Artigo de periodico
Performance of stem denoising and stem modelling algorithms on single tree point clouds from terrestrial laser scanning (2017)
Conto, Tiago de; Olofsson, Kenneth; Görgens, Eric Bastos; Rodriguez, Luiz Carlos Estraviz; Almeida, Gustavo
Source: Computers and Electronics in Agriculture. Unidade: ESALQ
Subjects: ALGORITMOS, ÁRVORES FLORESTAIS, CAULE, ROBUSTEZ, TECNOLOGIA LIDAR
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CONTO, Tiago de et al. Performance of stem denoising and stem modelling algorithms on single tree point clouds from terrestrial laser scanning. Computers and Electronics in Agriculture, v. 143, p. 165-176, 2017Tradução . . Disponível em: https://doi.org/10.1016/j.compag.2017.10.019. Acesso em: 07 set. 2024.
APA
Conto, T. de, Olofsson, K., Görgens, E. B., Rodriguez, L. C. E., & Almeida, G. (2017). Performance of stem denoising and stem modelling algorithms on single tree point clouds from terrestrial laser scanning. Computers and Electronics in Agriculture, 143, 165-176. doi:10.1016/j.compag.2017.10.019
NLM
Conto T de, Olofsson K, Görgens EB, Rodriguez LCE, Almeida G. Performance of stem denoising and stem modelling algorithms on single tree point clouds from terrestrial laser scanning [Internet]. Computers and Electronics in Agriculture. 2017 ; 143 165-176.[citado 2024 set. 07 ] Available from: https://doi.org/10.1016/j.compag.2017.10.019
Vancouver
Conto T de, Olofsson K, Görgens EB, Rodriguez LCE, Almeida G. Performance of stem denoising and stem modelling algorithms on single tree point clouds from terrestrial laser scanning [Internet]. Computers and Electronics in Agriculture. 2017 ; 143 165-176.[citado 2024 set. 07 ] Available from: https://doi.org/10.1016/j.compag.2017.10.019

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