Supervised learning for boundary detection on particle systems (2020)
- Authors:
- USP affiliated authors: PAIVA NETO, AFONSO - ICMC ; SANDIM, MARCOS HENRIQUE ALVES - ICMC
- Unidade: ICMC
- DOI: 10.5540/03.2020.007.01.0441
- Subjects: GEOMETRIA COMPUTACIONAL; DINÂMICA DOS FLUÍDOS COMPUTACIONAL
- Keywords: supervised learning; particle systems
- Language: Inglês
- Imprenta:
- Publisher: SBMAC
- Publisher place: São Carlos
- Date published: 2020
- Source:
- Título: Proceeding Series of the Brazilian Society of Computational and Applied Mathematics
- Volume/Número/Paginação/Ano: v. 7, n. 1, p. 010441-1-010441-7, 2020
- Conference titles: Congresso Nacional de Matemática Aplicada e Computacional - CNMAC
- Este periódico é de assinatura
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: bronze
-
ABNT
SANDIM, Marcos Henrique Alves e PAIVA, Afonso. Supervised learning for boundary detection on particle systems. Proceeding Series of the Brazilian Society of Computational and Applied Mathematics. São Carlos: SBMAC. Disponível em: https://doi.org/10.5540/03.2020.007.01.0441. Acesso em: 09 out. 2024. , 2020 -
APA
Sandim, M. H. A., & Paiva, A. (2020). Supervised learning for boundary detection on particle systems. Proceeding Series of the Brazilian Society of Computational and Applied Mathematics. São Carlos: SBMAC. doi:10.5540/03.2020.007.01.0441 -
NLM
Sandim MHA, Paiva A. Supervised learning for boundary detection on particle systems [Internet]. Proceeding Series of the Brazilian Society of Computational and Applied Mathematics. 2020 ; 7( 1): 010441-1-010441-7.[citado 2024 out. 09 ] Available from: https://doi.org/10.5540/03.2020.007.01.0441 -
Vancouver
Sandim MHA, Paiva A. Supervised learning for boundary detection on particle systems [Internet]. Proceeding Series of the Brazilian Society of Computational and Applied Mathematics. 2020 ; 7( 1): 010441-1-010441-7.[citado 2024 out. 09 ] Available from: https://doi.org/10.5540/03.2020.007.01.0441 - Simple and reliable boundary detection for meshfree particle methods using interval analysis
- Detecção de fronteira em sistemas de partículas
- Boundary particle resampling for surface reconstruction in liquid animation
- On the boundary detection for particle-based methods: visibility, learning, interval analysis, metrics, and applications
- A user-friendly interactive framework for unsteady fluid flow segmentation and visualization
- Sketch-based adaptive mesh augmentation using stellar operators
- Meshless helmholtz-hodge decomposition
- Least-squares Morphing of dynamic meshes
- MatLab
- Region reconstruction with the sphere-of-influence diagram
Informações sobre o DOI: 10.5540/03.2020.007.01.0441 (Fonte: oaDOI API)
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