Enhancing motor imagery classification: a novel CNN with self-attention using local and global features of filtered EEG data.

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Title: Enhancing motor imagery classification: a novel CNN with self-attention using local and global features of filtered EEG data.
Authors: Reddy, Atla Konda Gurava1, Sharma, Rajeev1, rajeev.sharma@vitap.ac.in
Source: Connection Science; Dec2024, Vol. 36 Issue 1, p1-26, 26p
Database: Applied Science & Technology Source
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  Data: Enhancing motor imagery classification: a novel CNN with self-attention using local and global features of filtered EEG data.
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=181729640
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        Value: 10.1080/09540091.2024.2426812
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      – Code: eng
        Text: English
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        PageCount: 26
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      – TitleFull: Enhancing motor imagery classification: a novel CNN with self-attention using local and global features of filtered EEG data.
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            NameFull: Reddy, Atla Konda Gurava
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              Text: Dec2024
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              Y: 2024
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