RRBM-YOLO: Research on Efficient and Lightweight Convolutional Neural Networks for Underground Coal Gangue Identification

Coal gangue identification is the primary step in coal flow initial screening, which mainly faces problems such as low identification efficiency, complex algorithms, and high hardware requirements. In response to the above, this article proposes a new “hardware friendly” coal gangue image recognitio...

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Bibliographic Details

Published in:	Sensors
Main Authors:	Yutong Wang, Ziming Kou, Cong Han, Yuchen Qin
Format:	Article
Language:	English
Published:	MDPI AG 2024-10-01
Subjects:	coal gangue recognition YOLOv8 lightweight module RepGhost attention mechanism MCA low light enhancement
Online Access:	https://www.mdpi.com/1424-8220/24/21/6943