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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Bibliographic Details
Published in:Environment international Vol. 196; p. 109319
Main Authors: Pakdehi, M., Ahmadisharaf, E., Azimi, P., Yan, Z., Keshavarz, Z., Caballero, C., Allen, J.G.
Format: Journal Article
Language:English
Published: Netherlands Elsevier Ltd 01.02.2025
Elsevier
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ISSN:0160-4120, 1873-6750, 1873-6750
Online Access:Get full text
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