Automated construction safety reporting system integrating deep learning-based real-time advanced detection and visual question answering.

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Title: Automated construction safety reporting system integrating deep learning-based real-time advanced detection and visual question answering.
Authors: Wen, Shihao1, Park, Minsoo1,2, pms5343@skku.edu, Tran, Dai Quoc3, Lee, Seungsoo1, Park, Seunghee1,4, shparkpc@skku.edu
Source: Advances in Engineering Software (1992); Dec2024, Vol. 198, pN.PAG-N.PAG, 1p
Database: Applied Science & Technology Source
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DbLabel: Applied Science & Technology Source
An: 180770916
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PubType: Academic Journal
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  Data: <searchLink fieldCode="JN" term="%22Advances+in+Engineering+Software+%281992%29%22">Advances in Engineering Software (1992)</searchLink>; Dec2024, Vol. 198, pN.PAG-N.PAG, 1p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=180770916
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1016/j.advengsoft.2024.103779
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      – Code: eng
        Text: English
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            NameFull: Wen, Shihao
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            NameFull: Park, Minsoo
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              M: 12
              Text: Dec2024
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              Y: 2024
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              Value: 198
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