A Dual-Adversarial Model for Cross-Time and Cross-Subject Cognitive Workload Decoding
Electroencephalogram (EEG) signals are widely utilized in the field of cognitive workload decoding (CWD). However, when the recognition scenario is shifted from subject-dependent to subject-independent or spans a long period, the accuracy of CWD deteriorates significantly. Current solutions are eith...
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| Main Authors: | , , , , |
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| Format: | Book |
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IEEE,
2024-01-01T00:00:00Z.
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| Call Number: |
A1234.567 |
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| Copy 1 | Available |