[1]
Y. Ibrahim, M. O. Momoh, K. O. Shobowale, Z. Mukhtar Abubakar, and B. Yahaya, “EDANet: A Novel Architecture Combining Depthwise Separable Convolutions and Hybrid Attention for Efficient Tomato Disease Recognition”, J. Comput. Theor. Appl., vol. 3, no. 2, pp. 160–170, Oct. 2025.