View in EDS

Novel deep learning-based optimization framework for the classification of respiratory diseases using lung sound analysis.

Saved in:
Bibliographic Details
Title: Novel deep learning-based optimization framework for the classification of respiratory diseases using lung sound analysis.
Authors: Ayappan G; Department of Electronics and Communication Engineering, Sri Venkateswara College of Engineering, Sriperumbudur, 602117, India. ayappan01@gmail.com., Sumathi S; Department of Electronics and Communication Engineering Velammal Engineering College, Chennai, 600066, India., Mani V; Department of Computer Science and Engineering, SRM Institute of Science and Technology, Tiruchirapalli, 621105, India., Jebarani PE; Department of Computer Science, Dr NGP Arts and Science College, Coimbatore, 641048, India.
Source: Scientific reports [Sci Rep] 2026 Apr 06; Vol. 16 (1). Date of Electronic Publication: 2026 Apr 06.
Publication Type: Journal Article
Journal Info: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE
Database: MEDLINE Ultimate
FullText Text:
  Availability: 0
Header DbId: mdl
DbLabel: MEDLINE Ultimate
An: 41942511
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Novel deep learning-based optimization framework for the classification of respiratory diseases using lung sound analysis.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Ayappan+G%22">Ayappan G</searchLink>; Department of Electronics and Communication Engineering, Sri Venkateswara College of Engineering, Sriperumbudur, 602117, India. ayappan01@gmail.com.<br /><searchLink fieldCode="AU" term="%22Sumathi+S%22">Sumathi S</searchLink>; Department of Electronics and Communication Engineering Velammal Engineering College, Chennai, 600066, India.<br /><searchLink fieldCode="AU" term="%22Mani+V%22">Mani V</searchLink>; Department of Computer Science and Engineering, SRM Institute of Science and Technology, Tiruchirapalli, 621105, India.<br /><searchLink fieldCode="AU" term="%22Jebarani+PE%22">Jebarani PE</searchLink>; Department of Computer Science, Dr NGP Arts and Science College, Coimbatore, 641048, India.
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22101563288%22">Scientific reports</searchLink> [Sci Rep] 2026 Apr 06; Vol. 16 (1). <i>Date of Electronic Publication: </i>2026 Apr 06.
– Name: TypePub
  Label: Publication Type
  Group: TypPub
  Data: Journal Article
– Name: TitleSource
  Label: Journal Info
  Group: Src
  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Nature+Publishing+Group%22">Nature Publishing Group </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>101563288 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>2045-2322 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2220452322%22">20452322 </searchLink><i>NLM ISO Abbreviation: </i>Sci Rep <i>Subsets: </i>MEDLINE
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=41942511
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1038/s41598-026-44936-0
    Languages:
      – Code: eng
        Text: English
    Titles:
      – TitleFull: Novel deep learning-based optimization framework for the classification of respiratory diseases using lung sound analysis.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Ayappan G
      – PersonEntity:
          Name:
            NameFull: Sumathi S
      – PersonEntity:
          Name:
            NameFull: Mani V
      – PersonEntity:
          Name:
            NameFull: Jebarani PE
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 06
              M: 04
              Text: 2026 Apr 06
              Type: published
              Y: 2026
          Identifiers:
            – Type: issn-electronic
              Value: 2045-2322
          Numbering:
            – Type: volume
              Value: 16
            – Type: issue
              Value: 1
          Titles:
            – TitleFull: Scientific reports
              Type: main
ResultId 1