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EGAN: an ensemble adversarial network for topology-preserving EEG data generation for predicting cognitive load levels.

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Title: EGAN: an ensemble adversarial network for topology-preserving EEG data generation for predicting cognitive load levels.
Authors: Havugimana, Felix1, fhvgmana@memphis.edu, Moinuddin, Kazi Ashraf1, kmnuddin@memphis.edu, Yeasin, Mohammed1, myeasin@memphis.edu
Source: Neural Computing & Applications; Jul2025, Vol. 37 Issue 20, p15923-15940, 18p
Database: Applied Science & Technology Source
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      – Type: doi
        Value: 10.1007/s00521-025-11346-8
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      – Code: eng
        Text: English
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        PageCount: 18
        StartPage: 15923
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      – TitleFull: EGAN: an ensemble adversarial network for topology-preserving EEG data generation for predicting cognitive load levels.
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            NameFull: Havugimana, Felix
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            NameFull: Moinuddin, Kazi Ashraf
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            NameFull: Yeasin, Mohammed
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              M: 07
              Text: Jul2025
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              Y: 2025
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              Value: 37
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