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Author

Devin K. Harris

2 papers indexed here

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Managing the Noise: Harnessing the Power of Graph Neural Networks to Detect Subsurface Damage under Noisy Experimental Settings

Aging infrastructure with limited budgets has driven stakeholders to explore new methods for monitoring structural health. Structural health monitoring represents a strategy to address this challenge using physical measurements to characterize performance. This approach has often leveraged various sensing modalities...

Ayatollah S. Yehia, Zhi-Dong Zhang, D. Harris · 0 citations
Preprint Sep 2026

Integrated Laser Scanning and Image-Based Topology Optimization Techniques for Detection and Quantification of Visible and Subsurface Structural Defects

Reliable characterization of structural defects requires methods capable of resolving both directly observable surface damage and damage that is not visible from the inspected surface. This study presents two complementary non-contact, vision-based approaches for the detection and quantitative characterization of defec...

Mehrdad Shafiei Dizaji, D. Harris · 0 citations

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