The main contribution of the proposed model is therefore not absolute superiority over large transformer models, but an improved balance between accuracy, interpretability, and computational efficiency for resource-constrained ABSA applications.
Mohammad Abu Kausar, M. Nasar, Sallam O. F. Khairy et al.· Journal of Computers, Mechan...· 0 citations
The Multi-Task Adversarial Autoencoder (MT-AAE) is introduced, a hybrid generative framework that integrates adversarial regularization with auxiliary functional and biophysical objectives to enforce structured latent representations and position MT-AAE as an effective framework for biologically constrained genomic seq...
Shamsuddeen Adamu, H. Alhussian, S. Abdulkadir et al.· BioData Mining· 0 citations
Road traffic accidents are a leading cause of death and disability worldwide, and their burden falls disproportionately on low- and middle-income countries, yet data-driven analyses remain scarce for Sudan. This study presents a descriptive and unsupervised-learning analysis of 2,218 road traffic accidents recorded acr...
Sallam O. f. Khairy, M. Fadlalla, Taha Alfadul et al.· Journal of Intelligent Decis...· 0 citations