Adapting Deep Learning Phase Detectors for Seismic Array Processing
Abstract Deep learning (DL) has considerably advanced single‐station seismic phase detection, but its integration into seismic array processing remains largely unexplored. We evaluate three strategies for adapting the previously developed TPhaseNet detector for regional phase detection to array data...
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| Autori principali: | , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Wiley
2026-06-01
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| Serie: | Journal of Geophysical Research: Machine Learning and Computation |
| Soggetti: | |
| Accesso online: | https://doi.org/10.1029/2026JH001249 |
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