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ORCIDChaymae Yahyati
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2020 – today
- 2026
[j3]Ismail Lamaakal
, Chaymae Yahyati, Zakaria Charroud, Khalid El Makkaoui, Ibrahim Ouahbi, Yassine Maleh, Samia Allaoua Chelloug, Ahmed A. Abd El-Latif, Hany S. Khalifa, Dusit Niyato:
Tiny Deep Learning Models With Hybrid Compression Techniques for Gesture-Based Air Handwriting Recognition of English Alphabets on Edge Device. IEEE Internet Things J. 13(1): 801-820 (2026)- 2025
- [j2]Chaymae Yahyati, Ismail Lamaakal, Yassine Maleh, Khalid El Makkaoui, Ibrahim Ouahbi, May Almousa, Ahmed A. Abd El-Latif:
A Systematic Review of State-of-the-Art TinyML Applications in Healthcare, Education, and Transportation. IEEE Access 13: 204513-204562 (2025) - [j1]Ismail Lamaakal, Chaymae Yahyati, Yassine Maleh, Khalid El Makkaoui, Ibrahim Ouahbi, Dusit Niyato:
An Explainable Tiny-Fast Kolmogorov-Arnold Network for Gesture-Based Air Handwriting Recognition of Tifinagh Letters in Resource-Constrained IoT Device. IEEE Internet Things J. 12(24): 55756-55773 (2025) - [c1]Ismail Lamaakal, Chaymae Yahyati, Ibrahim Ouahbi, Khalid El Makkaoui, Yassine Maleh:
Toward Neuromorphic TinyML for Efficient Visual Perception. ICECS 2025: 1-4 - [i4]Ismail Lamaakal, Chaymae Yahyati, Khalid El Makkaoui, Ibrahim Ouahbi, Yassine Maleh:
TCUQ: Single-Pass Uncertainty Quantification from Temporal Consistency with Streaming Conformal Calibration for TinyML. CoRR abs/2508.12905 (2025) - [i3]Ismail Lamaakal, Chaymae Yahyati, Khalid El Makkaoui, Ibrahim Ouahbi, Yassine Maleh:
SNAP-UQ: Self-supervised Next-Activation Prediction for Single-Pass Uncertainty in TinyML. CoRR abs/2508.12907 (2025) - [i2]Chaymae Yahyati, Ismail Lamaakal, Khalid El Makkaoui, Ibrahim Ouahbi, Yassine Maleh:
Simplex-FEM Networks (SiFEN): Learning A Triangulated Function Approximator. CoRR abs/2511.04804 (2025) - [i1]Ismail Lamaakal, Chaymae Yahyati, Yassine Maleh, Khalid El Makkaoui, Ibrahim Ouahbi:
BayesQ: Uncertainty-Guided Bayesian Quantization. CoRR abs/2511.08821 (2025)
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