Design and Development of an Automated Electroencephalogram Signal Processing and Diagnostic Support Architecture Employing Advanced Deep Learning Models for Early Accurate and Scalable Detection of Neurological Diseases.
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| Title: | Design and Development of an Automated Electroencephalogram Signal Processing and Diagnostic Support Architecture Employing Advanced Deep Learning Models for Early Accurate and Scalable Detection of Neurological Diseases. |
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| Authors: | Thammuluri, Rajesh1 (AUTHOR), Mathad, Rajeshwari S.2 (AUTHOR), Saibaba, CH. M. H.3 (AUTHOR), Nagababu, Kancharla4 (AUTHOR), Koujalagi, Ashok1 (AUTHOR) ashokkoujalagi66@gmail.com, Soni, Mukesh5,6 (AUTHOR) |
| Source: | Physiotherapy Research International. Apr2026, Vol. 31 Issue 2, p1-9. 9p. |
| Database: | Academic Search Ultimate |
| FullText | Text: Availability: 0 |
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| Header | DbId: asn DbLabel: Academic Search Ultimate An: 193280707 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=asn&AN=193280707 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1002/pri.70204 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 9 StartPage: 1 Titles: – TitleFull: Design and Development of an Automated Electroencephalogram Signal Processing and Diagnostic Support Architecture Employing Advanced Deep Learning Models for Early Accurate and Scalable Detection of Neurological Diseases. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Thammuluri, Rajesh – PersonEntity: Name: NameFull: Mathad, Rajeshwari S. – PersonEntity: Name: NameFull: Saibaba, CH. M. H. – PersonEntity: Name: NameFull: Nagababu, Kancharla – PersonEntity: Name: NameFull: Koujalagi, Ashok – PersonEntity: Name: NameFull: Soni, Mukesh IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 04 Text: Apr2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 13582267 Numbering: – Type: volume Value: 31 – Type: issue Value: 2 Titles: – TitleFull: Physiotherapy Research International Type: main |
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