research
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04/16/2020
Machine-learning-based methods for output only structural modal identification
In this study, we propose a machine-learning-based approach to identify ...
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01/07/2019
Compressive-Sensing Data Reconstruction for Structural Health Monitoring: A Machine-Learning Approach
Compressive sensing (CS) has been studied and applied in structural heal...
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11/21/2018
LQD-RKHS-based distribution-to-distribution regression methodology for restoring the probability distributions of missing SHM data
Data loss is a critical problem in structural health monitoring (SHM). P...
research
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11/21/2018