Hybrid deep learning for mental workload classification using EEG with enhanced preprocessing and interpretability.
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| Title: | Hybrid deep learning for mental workload classification using EEG with enhanced preprocessing and interpretability. |
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| Authors: | Abdelrahman O; School of Computer Sciences, Universiti Sains Malaysia, Gelugor, Penang, Malaysia., XinYing C; School of Computer Sciences, Universiti Sains Malaysia, Gelugor, Penang, Malaysia., Malik EF; Department of Computer Science and Software Engineering, College of Information Technology, United Arab Emirates University, Al Ain, United Arab Emirates., Wah KK; School of Management, Universiti Sains Malaysia, Gelugor, Penang, Malaysia., Lin CZ; Faculty of Engineering and Green Technology, Department of Electronic Engineering, UTAR Kampar Campus, Kampar, Perak, Malaysia., Lin TW; School of Information Technology, Monash University Malaysia, Subang Jaya, Selangor, Malaysia. |
| Source: | PloS one [PLoS One] 2026 Jun 26; Vol. 21 (6), pp. e0352882. Date of Electronic Publication: 2026 Jun 26 (Print Publication: 2026). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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