A multi-attention deep learning network for intelligent identification of rock mass fracture in mines
Recognition of rock mass fractures holds significant application value in geological engineering, rock mechanics, and predicting geological hazards. This research introduces an intelligent segmentation method for rock mass fractures based on an enhanced U-Net network to address the limitations in th...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-06-01
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| Series: | Results in Engineering |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2590123025010989 |
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