Multimodal fusion architectures, particularly cross-attention transformers integrating motor, voice, and gait data, consistently outperformed unimodal approaches by 4%-8% in the area under the receiver operating characteristic curve (AUC), with the largest gains in early stage detection and differential diagnosis tasks...
Muhammad Imran Khan, A. Imran, A. Alshammari· Computational biology and ch...· 0 citations
The proposed ensemble attention convolutional neural network (EACNN) first performs binary defect detection to distinguish between defective and non-defective samples, followed by a dedicated defect-type classification for fine-grained categorization that underscores EACNN’s ability to learn highly discriminative featu...
Uzma Batool, Zahid Iqbal, M. I. Shapiai et al.· PeerJ Computer Science· 1 citation
The results show that hierarchical feedback, bounded unit influence, stochastic aggregation, and compressed message passing can support stable privacy-preserving distributed coordination in distributed agent networks.
Atef Gharbi, Ahmad Alshammari, Nasser S. Albalawi et al.· Frontiers Comput. Neurosci.· 0 citations
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