Evaluation of machine learning based models to predict the bulk density in the flash sintering process (2021)
- Authors:
- USP affiliated authors: PALLONE, ELIRIA MARIA DE JESUS AGNOLON - FZEA ; SOUSA, RAFAEL VIEIRA DE - FZEA ; ABREU, MARIANA GOMES DE - FZEA ; FERREIRA, JULIETA ADRIANA - FZEA ; CAMPOS, JOÃO VITOR - FZEA
- Unidade: FZEA
- DOI: 10.1016/j.mtcomm.2021.102220
- Subjects: SINTERIZAÇÃO; MINERAÇÃO DE DADOS; APRENDIZADO COMPUTACIONAL
- Keywords: Data mining; Supervised learning; Sintering process; Flash; Field-assisted sintering
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: Materials Today Communications
- ISSN: 2352-4928
- Volume/Número/Paginação/Ano: v. 27, art. 102220, p. 1-5, 2021
- Status:
- Nenhuma versão em acesso aberto identificada
-
ABNT
ABREU, Mariana Gomes de et al. Evaluation of machine learning based models to predict the bulk density in the flash sintering process. Materials Today Communications, v. 27, p. 1-5, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.mtcomm.2021.102220. Acesso em: 09 abr. 2026. -
APA
Abreu, M. G. de, Pallone, E. M. de J. A., Ferreira, J. A., Campos, J. V., & Sousa, R. V. de. (2021). Evaluation of machine learning based models to predict the bulk density in the flash sintering process. Materials Today Communications, 27, 1-5. doi:10.1016/j.mtcomm.2021.102220 -
NLM
Abreu MG de, Pallone EM de JA, Ferreira JA, Campos JV, Sousa RV de. Evaluation of machine learning based models to predict the bulk density in the flash sintering process [Internet]. Materials Today Communications. 2021 ; 27 1-5.[citado 2026 abr. 09 ] Available from: https://doi.org/10.1016/j.mtcomm.2021.102220 -
Vancouver
Abreu MG de, Pallone EM de JA, Ferreira JA, Campos JV, Sousa RV de. Evaluation of machine learning based models to predict the bulk density in the flash sintering process [Internet]. Materials Today Communications. 2021 ; 27 1-5.[citado 2026 abr. 09 ] Available from: https://doi.org/10.1016/j.mtcomm.2021.102220 - Flash sintering scaling-up challenges: influence of the sample size on the microstructure and onset temperature of the flash event
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