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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Detalles Bibliográficos

Principais autores:	Yutong Wang, Ziming Kou, Cong Han, Yuchen Qin
Formato:	Artigo
Idioma:	Inglês
Publicado:	MDPI AG 2024-10-01
Series:	Sensors
Assuntos:	coal gangue recognition YOLOv8 lightweight module RepGhost attention mechanism MCA low light enhancement
Acceso en liña:	https://www.mdpi.com/1424-8220/24/21/6943
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