Seafarer Mental Workload Assessment Using a Hybrid Deep Learning Model
Human errors in maritime operations are closely linked to seafarers' mental workload; however, traditional assessment methods lack real-time neurocognitive resolution. This study introduces a novel psychophysiological framework that integrates electroencephalography (EEG) analysis with deep learning...
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| Principais autores: | , |
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| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
Gdynia Maritime University
2025-03-01
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| Serier: | TransNav |
| Fag: | |
| Online adgang: | https://www.transnav.eu/files/Seafarer_Mental_Workload_Assessment_Using_a_Hybrid_Deep_Learning_Model,1477.pdf |
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