Automated extraction and summarization of wind disaster data using deep learning models, with extended applications to seismic events
The United States experiences more extreme wind events than any other country due to its diverse climate and geographical features. While these events pose significant threats to society, they generate substantial data that can support researchers and disaster managers in resilience planning. This r...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2024-12-01
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| Series: | Frontiers in Built Environment |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fbuil.2024.1485388/full |
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