Pedestrian Physiological Response Map Prediction Model for Street Audiovisual Environments Using LSTM Networks.
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| Title: | Pedestrian Physiological Response Map Prediction Model for Street Audiovisual Environments Using LSTM Networks. |
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| Authors: | Xing, Jingwen1,2, He, Xuyuan2,3, Li, Xinxin1,2,3, lixx@hust.edu.cn, Wang, Tianci4, Mao, Siqing1,4, Li, Luyao1,2 |
| Source: | Buildings (2075-5309); May2026, Vol. 16 Issue 9, p1648, 23p |
| Database: | Applied Science & Technology Source |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 193716951 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=aci&AN=193716951 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3390/buildings16091648 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 23 StartPage: 1648 Titles: – TitleFull: Pedestrian Physiological Response Map Prediction Model for Street Audiovisual Environments Using LSTM Networks. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Xing, Jingwen – PersonEntity: Name: NameFull: He, Xuyuan – PersonEntity: Name: NameFull: Li, Xinxin – PersonEntity: Name: NameFull: Wang, Tianci – PersonEntity: Name: NameFull: Mao, Siqing – PersonEntity: Name: NameFull: Li, Luyao IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 05 Text: May2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 20755309 Numbering: – Type: volume Value: 16 – Type: issue Value: 9 Titles: – TitleFull: Buildings (2075-5309) Type: main |
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