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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| Asıl Yazarlar: | , |
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| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
KeAi Communications Co. Ltd.
2026-03-01
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| Seri Bilgileri: | Artificial Intelligence in Geosciences |
| Konular: | |
| Online Erişim: | http://www.sciencedirect.com/science/article/pii/S2666544126000055 |
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