Abreu, Mariana Gomes de; Pallone, Eliria Maria de Jesus Agnolon 
; Ferreira, Julieta Adriana; Campos, João Vitor ; Sousa, Rafael Vieira de
Source: Materials Today Communications. Unidade: FZEA
Subjects: SINTERIZAÇÃO, MINERAÇÃO DE DADOS, APRENDIZADO COMPUTACIONAL
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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: 03 jan. 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.2021.102220NLM
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 jan. 03 ] Available from: https://doi.org/10.1016/j.mtcomm.2021.102220Vancouver
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 jan. 03 ] Available from: https://doi.org/10.1016/j.mtcomm.2021.102220
