Enhancing particle swarm optimization based on optical computing mechanism: application to dyslexia detection
The use of an all-optical computational update mechanism demonstrated enhanced performance in both benchmark optimization problems and dyslexia detection tasks.
Authors
- Ibrahim A. Fares (ORCID: https://orcid.org/0000-0002-2732-7850)
- Ahmed A. Ewees (ORCID: https://orcid.org/0000-0002-6573-2785)
- Mohammed Azmi Al-Betar (ORCID: https://orcid.org/0000-0003-4117-9687)
- Abdelghani Dahou
- Nermine Mahmoud
- Mohammad Ghatasheh
Institutions
- Damietta University (EG)
- Zhejiang Normal University (CN)
- Chulalongkorn University (TH)
- Ajman University (AE)
- Ollscoil na Gaillimhe – University of Galway (IE)
- Zagazig University (EG)
- Buraydah Colleges (SA)
- Middle East University (JO)
Publication Details
- Journal
- Frontiers in Artificial Intelligence
- Published
- 2026-01-30
- DOI
- https://doi.org/10.3389/frai.2025.1731997
- Primary Topic
- Machine Learning and Data Classification
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Ajman University