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...
Guardat en:
| Autors principals: | , , , |
|---|---|
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
MDPI AG
2024-10-01
|
| Col·lecció: | Sensors |
| Matèries: | |
| Accés en línia: | https://www.mdpi.com/1424-8220/24/21/6943 |
| Etiquetes: |
Sense etiquetes, Sigues el primer a etiquetar aquest registre!
|