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Open Access

Peer-reviewed

Research Article

Adaptive weighted dual MAML: Proposing a novel method for the automated diagnosis of partial sleep deprivation

Soraya Khanmohmmadi,

Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Software, Validation, Visualization, Writing – original draft

Affiliation Faculty of Industrial and Systems Engineering, Tarbiat Modares University, Tehran, Iran
⨯
Toktam Khatibi ,

Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Project administration, Resources, Supervision, Validation, Writing – review & editing

* E-mail: toktam.khatibi@modares.ac.ir

Affiliation Faculty of Industrial and Systems Engineering, Tarbiat Modares University, Tehran, Iran

https://orcid.org/0000-0001-5824-9798

⨯
Golnaz Tajeddin,

Roles Conceptualization, Formal analysis, Investigation, Supervision, Validation, Writing – review & editing

Affiliation Faculty of Industrial and Systems Engineering, Tarbiat Modares University, Tehran, Iran
⨯
Elham Akhondzadeh,

Roles Conceptualization, Formal analysis, Investigation, Validation, Writing – review & editing

Affiliation Faculty of Industrial and Systems Engineering, Tarbiat Modares University, Tehran, Iran
⨯
Amir Shojaee

Roles Conceptualization, Data curation, Formal analysis, Investigation, Validation, Writing – review & editing

Affiliation Faculty of Medical Science, Tarbiat Modares University, Tehran, Iran
⨯

Adaptive weighted dual MAML: Proposing a novel method for the automated diagnosis of partial sleep deprivation

Soraya Khanmohmmadi,
Toktam Khatibi,
Golnaz Tajeddin,
Elham Akhondzadeh,
Amir Shojaee

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Published: June 13, 2025
https://doi.org/10.1371/journal.pone.0325288

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Electroencephalography
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Sleep disorders
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Sleep deprivation
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Machine learning
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Sleep
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Electrocardiography
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Sleep apnea
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Signal processing
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