GC-YOLOv9: Innovative smart city traffic monitoring solution

In urban smart city environments, traffic hazards can lead to catastrophic outcomes, including significant property losses and severe threats to public safety. Conventional traffic monitoring systems are limited in terms of accuracy and speed, presenting significant challenges for real-time traffic...

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Bibliographic Details

Published in:	Alexandria engineering journal Vol. 106; pp. 277 - 287
Main Authors:	An, Ru, Zhang, Xiaochun, Sun, Maopeng, Wang, Gang
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01.11.2024 Elsevier
Subjects:	Ghost convolution Internet of Things Real-time data processing Smart cities Traffic monitoring YOLOv9 YOLOv9 Smart cities Real-time data processing Internet of Things Traffic monitoring Ghost convolution
ISSN:	1110-0168
Online Access:	Get full text
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