A multimodal deep learning approach for recognizing individual actions and group interactions from UAV-based aerial monitoring.

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Title: A multimodal deep learning approach for recognizing individual actions and group interactions from UAV-based aerial monitoring.
Authors: Zahra, Ishrat1,2, Wu, Yanfeng1, Alsolai, Hadeel3, Alabdullah, Bayan3, Alhayan, Fatimah3, Jalal, Ahmad2,4 ahmadjalal@mail.au.edu.pk, Liu, Hui1,5,6 hui.liu@uni-bremen.de
Source: Kuwait Journal of Science. Jul2026, Vol. 53 Issue 3, p1-17. 17p.
Database: Academic Search Ultimate
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DbLabel: Academic Search Ultimate
An: 194761107
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  Data: A multimodal deep learning approach for recognizing individual actions and group interactions from UAV-based aerial monitoring.
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  Data: <searchLink fieldCode="JN" term="%22Kuwait+Journal+of+Science%22">Kuwait Journal of Science</searchLink>. Jul2026, Vol. 53 Issue 3, p1-17. 17p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=194761107
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1016/j.kjs.2026.100582
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      – Code: eng
        Text: English
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        PageCount: 17
        StartPage: 1
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      – TitleFull: A multimodal deep learning approach for recognizing individual actions and group interactions from UAV-based aerial monitoring.
        Type: main
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            NameFull: Zahra, Ishrat
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            NameFull: Wu, Yanfeng
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            NameFull: Alsolai, Hadeel
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            NameFull: Alabdullah, Bayan
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            NameFull: Alhayan, Fatimah
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            NameFull: Jalal, Ahmad
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          Dates:
            – D: 01
              M: 07
              Text: Jul2026
              Type: published
              Y: 2026
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            – TitleFull: Kuwait Journal of Science
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