IBRAHIM, Y.; O. MOMOH, M.; O. SHOBOWALE, K.; MUKHTAR ABUBAKAR, Z.; YAHAYA, B. EDANet: A Novel Architecture Combining Depthwise Separable Convolutions and Hybrid Attention for Efficient Tomato Disease Recognition. Journal of Computing Theories and Applications, [S. l.], v. 3, n. 2, p. 160–170, 2025. DOI: 10.62411/jcta.14620. Disponível em: https://publikasi.dinus.ac.id/jcta/article/view/14620. Acesso em: 5 dec. 2025.