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. |
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| 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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| Header | DbId: bsu DbLabel: Business Source Ultimate An: 186418762 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=bsu&AN=186418762 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1080/09613218.2025.2482959 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 20 StartPage: 636 Titles: – TitleFull: Using explainable artificial intelligence to predict sleep interruptions from indoor environmental conditions: an empirical study. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Han, Jung Min – PersonEntity: Name: NameFull: Estrella Guillén, Esteban – PersonEntity: Name: NameFull: Liu, Sheng – PersonEntity: Name: NameFull: Chen, Yujiao – PersonEntity: Name: NameFull: Samuelson, Holly W. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 07 Text: Jul2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 09613218 Numbering: – Type: volume Value: 53 – Type: issue Value: 5 Titles: – TitleFull: Building Research & Information Type: main |
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