Research on coal gangue recognition method based on CED-YOLOv5s model
Due to the complex working conditions of high noise, low illumination, and blurred movement in coal mines underground, as well as the phenomenon of coal gangue easily gathering, it is difficult to extract features from coal gangue object detection models. The classification and positioning of coal g...
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| Autori principali: | , , , , , |
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| Natura: | Artigo |
| Lingua: | Chinês |
| Pubblicazione: |
Editorial Department of Industry and Mine Automation
2024-02-01
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| Serie: | Gong-kuang zidonghua |
| Soggetti: | |
| Accesso online: | http://www.gkzdh.cn/article/doi/10.13272/j.issn.1671-251x.2023090065 |
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