Adaptive weighted dual MAML: Proposing a novel method for the automated diagnosis of partial sleep deprivation
The results confirm the efficacy of our proposed approach as a robust solution for diagnosing partial sleep deprivation with enhanced accuracy and efficiency in an automated manner. This model provides a groundwork for addressing various sleep disorders through advanced EEG analysis techniques.
Authors
- Toktam Khatibi (ORCID: https://orcid.org/0000-0001-5824-9798)
- Golnaz Tajeddin (ORCID: https://orcid.org/0000-0001-7381-2606)
- Soraya Khanmohmmadi
- Elham Akhondzadeh
- Amir Shojaee
Institutions
- Tarbiat Modares University (IR)
Publication Details
- Journal
- PLoS ONE
- Published
- 2025-06-13
- DOI
- https://doi.org/10.1371/journal.pone.0325288
- Primary Topic
- Sleep and Work-Related Fatigue
- Type
- article
- Field-Weighted Citation Impact
- 0.00