Hybrid Deep Learning Models for Predicting Compressive Strength of FDM 3D-Printed Structures. ITEGAM-JETIA, [S. l.], v. 12, n. 59, p. 454–462, 2026. DOI: 10.5935/jetia.v12i59.3485. Disponível em: https://itegam-jetia.org/journal/index.php/jetia/article/view/3485. Acesso em: 22 oct. 2026.