Wavelet-convolutional neural network for fault prediction in coal mine seismic data
Abstract Seismic fault identification remains critical for resource exploration and geohazard prevention, yet conventional methods suffer from subjective interpretation bias and computational inefficiency. While convolutional neural networks (CNNs) enhance automation, their neglect of multiscale fre...
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| Главные авторы: | , , , |
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| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Nature Portfolio
2025-12-01
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| Серии: | Scientific Reports |
| Предметы: | |
| Online-ссылка: | https://doi.org/10.1038/s41598-025-33312-z |
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