3 papers
cs.LG2025
Machine Learning-Based Ultrasonic Weld Characterization Using Hierarchical Wave Modeling and Diffusion-Driven Distribution Alignment
Joshua R. Tempelman, Adam J. Wachtor, Eric B. Flynn
Automated ultrasonic weld inspection remains a significant challenge in the nondestructive evaluation (NDE) community to factors such as limited training data (due to the complexit…
cond-mat.stat-mech2025
Spectral Characterization of Wave Scattering at a Granular-Elastic Solid Interface: From Hyperbolic Wave Propagation to Near-Parabolic Diffusion
Joshua R. Tempelman, Chongan Wang, Alexander F. Vakakis
We present a method based on acoustic wavenumber imaging algorithms to quantify the spectral content of strongly nonlinear energy scattering of a propagating wavefront across the d…
cs.LG2025
Probabilistic Emissivity Retrieval from Hyperspectral Data via Physics-Guided Variational Inference
Joshua R. Tempelman, Kevin Mitchell, Adam J. Wachtor +1
Recent research has proven neural networks to be a powerful tool for performing hyperspectral imaging (HSI) target identification. However, many deep learning frameworks deliver a…