Research on rock fracture evolution prediction model based on Adam-ConvLSTM and transfer learning
Abstract The propagation of rock fractures is essential for maintaining engineering safety, yet traditional theoretical methods are burdened by challenges such as complex sample collection and lengthy prediction processes. To address these challenges, this study develops a deep learning model based...
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| Main Authors: | Runze Liu, Ziwei Wang, Yanbo Zhang, Xulong Yao, Shaohong Yan, Zhiyuan Chen, Shuai Wang, Hua Li, Qi Wang |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Springer
2025-03-01
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| Series: | Discover Applied Sciences |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s42452-025-06661-7 |
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