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...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Computers & structures Jg. 317; S. 107905
Hauptverfasser:	Prayogo, Handy, Yang, I-Tung
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.10.2025
Schlagworte:	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-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!