Modeling the latent impacts of extreme floods on indoor mold spores in residential buildings: Application of machine learning algorithms
•Machine learning (ML) models for quantifying the impacts of flooding on mold spores.•Investigations on two recent hurricanes—Ida and Ian—in the United States.•Key factors for predicting mold were flood depth, bathroom exhaust fan, roof age, air tightness and open window blinds.•Some of the key fact...
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| Published in: | Environment international Vol. 196; p. 109319 |
|---|---|
| Main Authors: | , , , , , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
Netherlands
Elsevier Ltd
01.02.2025
Elsevier |
| Subjects: | |
| ISSN: | 0160-4120, 1873-6750, 1873-6750 |
| Online Access: | Get full text |
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