Conference

AI-Enhanced Prediction of Respiratory Irritation From Biomass Combustion Byproducts: An Integrative Machine Learning Framework for Sustainable Bioenergy Systems

Bibliographic Details
Title: AI-Enhanced Prediction of Respiratory Irritation From Biomass Combustion Byproducts: An Integrative Machine Learning Framework for Sustainable Bioenergy Systems
Authors: Alam, Shehabul, Biswas, Ayush, Islam, Rehnuma, Rahman, Shah Samadur, Chowdhury, Hasebul Hassan, Ghosh, Sudoy Kumer
Source: 2026 5th International Conference on Communication, Computing and Electronics Systems (ICCCES) Communication, Computing and Electronics Systems (ICCCES), 2026 5th International Conference on. :895-901 Jan, 2026
Relation: 2026 5th International Conference on Communication, Computing and Electronics Systems (ICCCES)
Database: IEEE Xplore Digital Library
FullText Text:
  Availability: 0
Header DbId: edseee
DbLabel: IEEE Xplore Digital Library
An: edseee.11437157
RelevancyScore: 1131
AccessLevel: 2
PubType: Conference
PubTypeId: conference
PreciseRelevancyScore: 1130.63830566406
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: AI-Enhanced Prediction of Respiratory Irritation From Biomass Combustion Byproducts: An Integrative Machine Learning Framework for Sustainable Bioenergy Systems
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Alam%2C+Shehabul%22">Alam, Shehabul</searchLink><br /><searchLink fieldCode="AR" term="%22Biswas%2C+Ayush%22">Biswas, Ayush</searchLink><br /><searchLink fieldCode="AR" term="%22Islam%2C+Rehnuma%22">Islam, Rehnuma</searchLink><br /><searchLink fieldCode="AR" term="%22Rahman%2C+Shah+Samadur%22">Rahman, Shah Samadur</searchLink><br /><searchLink fieldCode="AR" term="%22Chowdhury%2C+Hasebul+Hassan%22">Chowdhury, Hasebul Hassan</searchLink><br /><searchLink fieldCode="AR" term="%22Ghosh%2C+Sudoy+Kumer%22">Ghosh, Sudoy Kumer</searchLink>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: 2026 5th International Conference on Communication, Computing and Electronics Systems (ICCCES) Communication, Computing and Electronics Systems (ICCCES), 2026 5th International Conference on. :895-901 Jan, 2026
– Name: NoteTitleSource
  Label: Relation
  Group: SrcInfo
  Data: 2026 5th International Conference on Communication, Computing and Electronics Systems (ICCCES)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edseee&AN=edseee.11437157
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1109/ICCCES62661.2026.11437157
    PhysicalDescription:
      Pagination:
        PageCount: 7
        StartPage: 895
    Titles:
      – TitleFull: AI-Enhanced Prediction of Respiratory Irritation From Biomass Combustion Byproducts: An Integrative Machine Learning Framework for Sustainable Bioenergy Systems
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Alam, Shehabul
      – PersonEntity:
          Name:
            NameFull: Biswas, Ayush
      – PersonEntity:
          Name:
            NameFull: Islam, Rehnuma
      – PersonEntity:
          Name:
            NameFull: Rahman, Shah Samadur
      – PersonEntity:
          Name:
            NameFull: Chowdhury, Hasebul Hassan
      – PersonEntity:
          Name:
            NameFull: Ghosh, Sudoy Kumer
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 21
              M: 01
              Type: published
              Y: 2026
          Identifiers:
            – Type: isbn-print
              Value: 9798331556211
            – Type: isbn-print
              Value: 9798331556204
            – Type: isbn-print
              Value: 9798331556228
            – Type: issn-locals
              Value: edseee.IEEEConferenc
          Titles:
            – TitleFull: 2026 5th International Conference on Communication, Computing and Electronics Systems (ICCCES), Communication, Computing and Electronics Systems (ICCCES), 2026 5th International Conference on
              Type: main
ResultId 1