Correction: FastKAN-DDD: A novel fast Kolmogorov-Arnold network-based approach for driver drowsiness detection optimized for TinyML deployment

Authors

Khalid El Makkaoui (ORCID: https://orcid.org/0000-0002-9569-9162)
Yassine Maleh (ORCID: https://orcid.org/0000-0003-4704-5364)
Siham Essahraui (ORCID: https://orcid.org/0000-0001-9338-2295)
Ibrahim Ouahbi (ORCID: https://orcid.org/0000-0002-0552-9275)
Ismail Lamaakal (ORCID: https://orcid.org/0009-0009-6532-2573)
Hela Elmannai
Ahmed A. Abd El-Latif
Mouncef Filali Bouami

Publication Details

Journal: PLoS ONE
Published: 2026-01-06
DOI: https://doi.org/10.1371/journal.pone.0340596
Primary Topic: Sleep and Work-Related Fatigue
Type: article
Field-Weighted Citation Impact: 0.00

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article

Correction: FastKAN-DDD: A novel fast Kolmogorov-Arnold network-based approach for driver drowsiness detection optimized for TinyML deployment

Khalid El Makkaoui, Yassine Maleh, Siham Essahraui, Ibrahim Ouahbi et al.

Jan 6, 2026

PLoS ONE

Sleep and Work-Related Fatigue

article

Correction: FastKAN-DDD: A novel fast Kolmogorov-Arnold network-based approach for driver drowsiness detection optimized for TinyML deployment

Khalid El Makkaoui, Yassine Maleh, Siham Essahraui, Ibrahim Ouahbi, Ismail Lamaakal, Hela Elmannai, Ahmed A. Abd El-Latif, Mouncef Filali Bouami

January 6, 2026article en

Abstract

No abstract available for this paper.

PLoS ONEVol. 21(1)

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Sleep and Work-Related Fatigue

DOI Open Access PDF OpenAlex

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Correction: FastKAN-DDD: A novel fast Kolmogorov-Arnold network-based approach for driver drowsiness detection optimized for TinyML deployment — Khalid El Makkaoui, Yassine Maleh, et al. · PLoS ONE (2026) | TGRS Research Map | TGRS