Source: International Journal of Multiphase Flow. Unidade: EESC
Subjects: ESCOAMENTO BIFÁSICO, REDES NEURAIS, ENGENHARIA MECÂNICA
ABNT
GÓMEZ-CAMPEROS, July A. et al. Dense-gas/liquid two-phase flow pattern recognition using convolutional neural networks and transfer learning. International Journal of Multiphase Flow, v. 194, p. 1-17, 2026Tradução . . Disponível em: https://dx.doi.org/10.1016/j.ijmultiphaseflow.2025.105479. Acesso em: 10 jan. 2026.APA
Gómez-Camperos, J. A., Ruiz Diaz, C. M., Hernandez Cely, M. M., Hernandez Rodriguez, O. M., & Pardo Garcia, A. (2026). Dense-gas/liquid two-phase flow pattern recognition using convolutional neural networks and transfer learning. International Journal of Multiphase Flow, 194, 1-17. doi:10.1016/j.ijmultiphaseflow.2025.105479NLM
Gómez-Camperos JA, Ruiz Diaz CM, Hernandez Cely MM, Hernandez Rodriguez OM, Pardo Garcia A. Dense-gas/liquid two-phase flow pattern recognition using convolutional neural networks and transfer learning [Internet]. International Journal of Multiphase Flow. 2026 ; 194 1-17.[citado 2026 jan. 10 ] Available from: https://dx.doi.org/10.1016/j.ijmultiphaseflow.2025.105479Vancouver
Gómez-Camperos JA, Ruiz Diaz CM, Hernandez Cely MM, Hernandez Rodriguez OM, Pardo Garcia A. Dense-gas/liquid two-phase flow pattern recognition using convolutional neural networks and transfer learning [Internet]. International Journal of Multiphase Flow. 2026 ; 194 1-17.[citado 2026 jan. 10 ] Available from: https://dx.doi.org/10.1016/j.ijmultiphaseflow.2025.105479
