Author

Chaymae Yahyati

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Open access Oct 2026

Uncertainty-aware few-shot epileptic seizure detection for IoMT edge devices using TinyML and Kolmogorov–Arnold networks

Epileptic seizure detection from electroencephalography (EEG) remains challenging in real-world clinical settings due to severe class imbalance, limited labeled ictal data, inter-patient variability, and the computational constraints of edge deployment. To address these challenges, this paper proposes an uncertainty-aw...

Chaymae Yahyati, Ismail Lamaakal, Khalid El Makkaoui et al. · Discover Internet of Things · 0 citations

Review Open access Sep 2026

A Review of TinyML for Human Activity Recognition on Edge Devices

This paper presents a comprehensive review of TinyML for HAR, covering foundational concepts, methodologies, and applications, and critically examined the state of the art of existing works and approaches that combine TinyML and HAR.

Ismail Lamaakal, Chaymae Yahyati, Yassine Maleh et al. · Machine Learning and Knowled... · 0 citations

Preprint Aug 2026

Continual Visual Learning under Evolving Semantic Concept Shift

Experiments show that SemReWrite achieves a stronger balance between learning revised semantics and retaining unaffected knowledge than prompt replacement, conventional fine-tuning, parameter-efficient adaptation, and continual-learning strategies.

Ismail Lamaakal, Chaymae Yahyati, Yassine Maleh et al. · 0 citations