A case study and parametric analysis of predicting hurricane-induced building damage using data-driven machine learning approach
As coastal populations increase every year, greater numbers of people and buildings to support them are left vulnerable to severe hazards associated with hurricanes, which have shown signs of increasing strength and frequency related to climate change. Community-level decision making is essential to...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2022-11-01
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| Series: | Frontiers in Built Environment |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fbuil.2022.1015804/full |