DTPP:An efficient depthwise separable TCN for seismic phase picking
With the rapid development of artificial intelligence in seismology, various deep learning-based seismic phase picking models have emerged in recent years. However, existing models face challenges in balancing picking accuracy with computational efficiency for real-time applications. To address this...
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| Hlavní autoři: | , |
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| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
KeAi Communications Co. Ltd.
2026-03-01
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| Edice: | Artificial Intelligence in Geosciences |
| Témata: | |
| On-line přístup: | http://www.sciencedirect.com/science/article/pii/S2666544126000055 |
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