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Open access Aug 2026

An Adaptive Unsupervised Structural Health Monitoring Framework Using Exclusion-Aware Convolutional Autoencoders

This paper proposes an anomaly detection framework that combines the sequential retraining of CAE networks with an exclusion logic strategy, and demonstrates good generalizability, seamless adaptability to varying monitoring scenarios, and robustness across both training and validation datasets.

Matheus Dalcin, Marcos Spínola, R. Finotti et al. · 0 citations
Jul 2026

AI‐driven assessment of steel structures

The paper concludes by outlining the steps required to move AI from research prototypes into established engineering practice, and by positioning the structural engineer as the informed decision‐maker within an AI‐augmented workflow.

A. Kanyilmaz, A. Menghini, Marco Pirrò et al. · 0 citations

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