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VisioDECT: a novel approach to drone detection using CBAM-integrated YOLO and GELAN-E models.

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Title: VisioDECT: a novel approach to drone detection using CBAM-integrated YOLO and GELAN-E models.
Authors: Sakib Bin Islam, Md.1 (AUTHOR) niloysakib69@gmail.com, Chowdhury, Muhammad E. H.1 (AUTHOR) mchowdhury@qu.edu.qa, Hasan-Zia, Mazhar2 (AUTHOR) mazhar.hasanzia@udst.edu.qa, Kashem, Saad Bin Abul3 (AUTHOR) saad.kashem@afg-aberdeen.edu.qa, Majid, Molla E.4 (AUTHOR) mmajid@qf.org.qa, Ansaruddin Kunju, Ali K.2 (AUTHOR) aliyarukunju.kunju@udst.edu.qa, Khandakar, Amith1 (AUTHOR) amitk@qu.edu.qa, Ashraf, Azad2 (AUTHOR) azad.ashraf@udst.edu.qa, Nashbat, Mohammad2 (AUTHOR) mohammad.nashbat@UDST.edu.qa
Source: Neural Computing & Applications. Aug2025, Vol. 37 Issue 24, p20181-20204. 24p.
Database: Academic Search Ultimate
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  Data: VisioDECT: a novel approach to drone detection using CBAM-integrated YOLO and GELAN-E models.
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  Data: <searchLink fieldCode="JN" term="%22Neural+Computing+%26+Applications%22">Neural Computing & Applications</searchLink>. Aug2025, Vol. 37 Issue 24, p20181-20204. 24p.
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        Value: 10.1007/s00521-025-11448-3
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              Text: Aug2025
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