Using explainable artificial intelligence to predict sleep interruptions from indoor environmental conditions: an empirical study.

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Title: Using explainable artificial intelligence to predict sleep interruptions from indoor environmental conditions: an empirical study.
Authors: Han, Jung Min1 (AUTHOR), Estrella Guillén, Esteban2,3 (AUTHOR) esteban@estudiobana.mx, Liu, Sheng4,5 (AUTHOR), Chen, Yujiao3 (AUTHOR), Samuelson, Holly W.3 (AUTHOR)
Source: Building Research & Information. Jul2025, Vol. 53 Issue 5, p636-655. 20p.
Database: Business Source Ultimate
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  Data: Using explainable artificial intelligence to predict sleep interruptions from indoor environmental conditions: an empirical study.
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  Data: <searchLink fieldCode="JN" term="%22Building+Research+%26+Information%22">Building Research & Information</searchLink>. Jul2025, Vol. 53 Issue 5, p636-655. 20p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=bsu&AN=186418762
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1080/09613218.2025.2482959
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      – Code: eng
        Text: English
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        PageCount: 20
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      – TitleFull: Using explainable artificial intelligence to predict sleep interruptions from indoor environmental conditions: an empirical study.
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            NameFull: Han, Jung Min
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            NameFull: Estrella Guillén, Esteban
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            NameFull: Liu, Sheng
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            NameFull: Chen, Yujiao
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              M: 07
              Text: Jul2025
              Type: published
              Y: 2025
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