Masked graph neural network for rapid ground motion prediction in Italy
This study presents an updated version of TISER-GCN, a graph neural network (GCN) designed to predict maximum intensity measurements (IMs) from 10-second seismic waveforms starting at the earthquake origin time, without prior knowledge of location, distance, and magnitude. The improved model was ap...
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| Autori principali: | , , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
McGill University
2025-09-01
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| Serie: | Seismica |
| Soggetti: | |
| Accesso online: | https://seismica.library.mcgill.ca/article/view/1655 |
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