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

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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Bibliographic Details
Main Authors: Tom Narock, J. Michael Johnson, Justin Singh-Mohudpur, Arash Modaresi Rad
Format: Article
Language:English
Published: Cambridge University Press 2025-01-01
Series:Environmental Data Science
Subjects:
Bayesian neural network
building type classification
flood risk
machine learning
open data
Online Access:https://www.cambridge.org/core/product/identifier/S2634460225000020/type/journal_article
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