Out-of-Distribution-Aware Structural Damage Classification via Hybrid Variational Autoencoder and Gradient Boosting

Structural damage classification is vital for the safety and longevity of critical infrastructure. Machine learning models, though effective in predicting structural behavior, often struggle with out-of-distribution data that differ from their training sets. While out-of-distribution detection has a...

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Bibliographic Details

Published in:	Computers & structures Vol. 317; p. 107905
Main Authors:	Prayogo, Handy, Yang, I-Tung
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01.10.2025
Subjects:	Gradient boosting Machine learning Out-of-distribution Structural damage classification Tabular data Out-of-distribution Structural damage classification Tabular data Machine learning Gradient boosting
ISSN:	0045-7949
Online Access:	Get full text
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