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Research on Thermal Sensation Prediction in Shoulder Seasons Using Machine Learning Based on Infrared Thermal Imaging.

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Title: Research on Thermal Sensation Prediction in Shoulder Seasons Using Machine Learning Based on Infrared Thermal Imaging.
Authors: Liu, Qian1, Li, Wei1,2, willee@csust.edu.cn, Li, Junhong1, Mu, Kang1,2, Sun, Xiaoqin1, Liu, Weizhen1, Zhang, Jili2
Source: Buildings (2075-5309); Jun2026, Vol. 16 Issue 11, p2070, 18p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 194780379
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PubType: Academic Journal
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  Data: Research on Thermal Sensation Prediction in Shoulder Seasons Using Machine Learning Based on Infrared Thermal Imaging.
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  Data: <searchLink fieldCode="JN" term="%22Buildings+%282075-5309%29%22">Buildings (2075-5309)</searchLink>; Jun2026, Vol. 16 Issue 11, p2070, 18p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=194780379
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      – Type: doi
        Value: 10.3390/buildings16112070
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      – Code: eng
        Text: English
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        PageCount: 18
        StartPage: 2070
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      – TitleFull: Research on Thermal Sensation Prediction in Shoulder Seasons Using Machine Learning Based on Infrared Thermal Imaging.
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          Name:
            NameFull: Liu, Qian
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            NameFull: Li, Wei
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            NameFull: Sun, Xiaoqin
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            NameFull: Liu, Weizhen
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            – D: 01
              M: 06
              Text: Jun2026
              Type: published
              Y: 2026
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