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. |
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| 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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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 181729640 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=181729640 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1080/09540091.2024.2426812 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 26 StartPage: 1 Titles: – TitleFull: Enhancing motor imagery classification: a novel CNN with self-attention using local and global features of filtered EEG data. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Reddy, Atla Konda Gurava – PersonEntity: Name: NameFull: Sharma, Rajeev IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 12 Text: Dec2024 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 09540091 Numbering: – Type: volume Value: 36 – Type: issue Value: 1 Titles: – TitleFull: Connection Science Type: main |
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