View in EDS HTML Full Text PDF Full Text

Benchmarking Classical Machine Learning and Hybrid Quantum Approaches for Indoor Thermal Sensation Prediction.

Saved in:
Bibliographic Details
Title: Benchmarking Classical Machine Learning and Hybrid Quantum Approaches for Indoor Thermal Sensation Prediction.
Authors: Avci, Ali Berkay1 (AUTHOR) aliavci@sdu.edu.tr, Sen, Kalyani1 (AUTHOR) kasen@wiley.com
Source: Indoor Air. 6/2/2026, Vol. 2026, p1-14. 14p.
Database: Environment Complete
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: eih
DbLabel: Environment Complete
An: 194234767
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Benchmarking Classical Machine Learning and Hybrid Quantum Approaches for Indoor Thermal Sensation Prediction.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Avci%2C+Ali+Berkay%22">Avci, Ali Berkay</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> aliavci@sdu.edu.tr</i><br /><searchLink fieldCode="AR" term="%22Sen%2C+Kalyani%22">Sen, Kalyani</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> kasen@wiley.com</i>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Indoor+Air%22">Indoor Air</searchLink>. 6/2/2026, Vol. 2026, p1-14. 14p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eih&AN=194234767
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1155/ina/3385686
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 14
        StartPage: 1
    Titles:
      – TitleFull: Benchmarking Classical Machine Learning and Hybrid Quantum Approaches for Indoor Thermal Sensation Prediction.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Avci, Ali Berkay
      – PersonEntity:
          Name:
            NameFull: Sen, Kalyani
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 02
              M: 06
              Text: 6/2/2026
              Type: published
              Y: 2026
          Identifiers:
            – Type: issn-print
              Value: 09056947
          Numbering:
            – Type: volume
              Value: 2026
          Titles:
            – TitleFull: Indoor Air
              Type: main
ResultId 1