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Development of an interpretable machine-learning model for capturing nonlinear dynamics of multisensory interactions in public open spaces.

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Title: Development of an interpretable machine-learning model for capturing nonlinear dynamics of multisensory interactions in public open spaces.
Authors: Lin, Minqi1 (AUTHOR), Chau, Chi Kwan1 (AUTHOR), Hou, Huiying (Cynthia)1 (AUTHOR) cynthia.hou@polyu.edu.hk, Tang, Shiu Keung2 (AUTHOR)
Source: Building & Environment. Jul2025, Vol. 280, pN.PAG-N.PAG. 1p.
Database: Environment Complete
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  Availability: 0
Header DbId: eih
DbLabel: Environment Complete
An: 185443406
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Development of an interpretable machine-learning model for capturing nonlinear dynamics of multisensory interactions in public open spaces.
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  Data: <searchLink fieldCode="JN" term="%22Building+%26+Environment%22">Building & Environment</searchLink>. Jul2025, Vol. 280, pN.PAG-N.PAG. 1p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eih&AN=185443406
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1016/j.buildenv.2025.113072
    Languages:
      – Code: eng
        Text: English
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        PageCount: 1
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      – TitleFull: Development of an interpretable machine-learning model for capturing nonlinear dynamics of multisensory interactions in public open spaces.
        Type: main
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      – PersonEntity:
          Name:
            NameFull: Lin, Minqi
      – PersonEntity:
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            NameFull: Chau, Chi Kwan
      – PersonEntity:
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            NameFull: Hou, Huiying (Cynthia)
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            NameFull: Tang, Shiu Keung
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          Dates:
            – D: 15
              M: 07
              Text: Jul2025
              Type: published
              Y: 2025
          Identifiers:
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              Value: 03601323
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              Value: 280
          Titles:
            – TitleFull: Building & Environment
              Type: main
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