Author

M. Mahraz

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Open access Jul 2026

Hierarchical temporal-separable convolutional-recurrent attention network for EEG-based epileptic seizure prediction

A hybrid deep learning architecture for patient-independent epileptic seizure identification that integrates a Hierarchical Temporal Separable Convolutional Network, a Dual-Stage Bidirectional Recurrent Neural Network, and a Multi-Head Attention Mechanism is proposed, enabling effective extraction of spatial, temporal, and contextual features from non-stationary EEG signals while addressing inter-patient variability.

Khadija Slama, Ali Yahyaouy, J. Riffi et al. · Cognitive Neurodynamics · 0 citations

Open access Aug 2026

Brain Tumor Classification Using a Hybrid Learning Strategy Integrating GAN-Augmented Neural Networks

A hybrid framework that combines generative adversarial networks (GANs), convolutional neural networks (CNNs), and Vision Transformers (ViTs) for accurate tumor classification demonstrates the potential of advanced DL models to strengthen MRI-based tumor diagnosis and support more reliable clinical decision-making.

Iliass Zine-dine, J. Riffi, Khalid El Fazazy et al. · International Journal of Onl... · 0 citations