Retracted: Generative Adversarial Networks for Unmanned Aerial Vehicle Object Detection with Fusion Technology

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Bibliographic Details
Main Author: Journal of Advanced Transportation
Format: Article
Language:English
Published: Wiley 2023-01-01
Series:Journal of Advanced Transportation
Online Access:http://dx.doi.org/10.1155/2023/9826452
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author Journal of Advanced Transportation
author_facet Journal of Advanced Transportation
author_sort Journal of Advanced Transportation
collection DOAJ
format Article
id doaj-art-21729e766cb3430e80949d65c7b453b2
institution Kabale University
issn 2042-3195
language English
publishDate 2023-01-01
publisher Wiley
record_format Article
series Journal of Advanced Transportation
spelling doaj-art-21729e766cb3430e80949d65c7b453b22025-02-03T06:48:30ZengWileyJournal of Advanced Transportation2042-31952023-01-01202310.1155/2023/9826452Retracted: Generative Adversarial Networks for Unmanned Aerial Vehicle Object Detection with Fusion TechnologyJournal of Advanced Transportationhttp://dx.doi.org/10.1155/2023/9826452
spellingShingle Journal of Advanced Transportation
Retracted: Generative Adversarial Networks for Unmanned Aerial Vehicle Object Detection with Fusion Technology
Journal of Advanced Transportation
title Retracted: Generative Adversarial Networks for Unmanned Aerial Vehicle Object Detection with Fusion Technology
title_full Retracted: Generative Adversarial Networks for Unmanned Aerial Vehicle Object Detection with Fusion Technology
title_fullStr Retracted: Generative Adversarial Networks for Unmanned Aerial Vehicle Object Detection with Fusion Technology
title_full_unstemmed Retracted: Generative Adversarial Networks for Unmanned Aerial Vehicle Object Detection with Fusion Technology
title_short Retracted: Generative Adversarial Networks for Unmanned Aerial Vehicle Object Detection with Fusion Technology
title_sort retracted generative adversarial networks for unmanned aerial vehicle object detection with fusion technology
url http://dx.doi.org/10.1155/2023/9826452
work_keys_str_mv AT journalofadvancedtransportation retractedgenerativeadversarialnetworksforunmannedaerialvehicleobjectdetectionwithfusiontechnology