Building occupancy type classification and uncertainty estimation using machine learning and open data

Federal and local agencies have identified a need to create building databases to help ensure that critical infrastructure and residential buildings are accounted for in disaster preparedness and to aid the decision-making processes in subsequent recovery efforts. To respond effectively, we need to...

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Egile Nagusiak:	Tom Narock, J. Michael Johnson, Justin Singh-Mohudpur, Arash Modaresi Rad
Formatua:	Artigo
Hizkuntza:	Inglês
Argitaratua:	Cambridge University Press 2025-01-01
Saila:	Environmental Data Science
Gaiak:	Bayesian neural network building type classification flood risk machine learning open data
Sarrera elektronikoa:	https://www.cambridge.org/core/product/identifier/S2634460225000020/type/journal_article
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