Recent advances in large language models (LLMs), such as GPT-4 and LLaMA, have opened new opportunities for personalized learning support in intelligent educational environments. Feedback matters for how students stay motivated, how they study, and how well they do, but giving each of them personalized feedback in real...
The findings support a diagnostic rather than leaderboard interpretation: the apparent benefit of Arabic XTTS adaptation depends materially on the evaluation metric, checkpoint, and evaluator.
A modular and interpretable architecture for the development of a System for Adaptive and Explainable Feedback, which is a potential solution for the above-mentioned issues in personalized learning environments and supports the internal computational consistency of the recommendation pipeline as a proof-of-concept syst...
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,...
Khadija Slama, Ali Yahyaouy, J. Riffi et al.· Cognitive Neurodynamics· 0 citations
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
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