5 citations · 7 across the 3 of their papers we have counts for
3 papers
eess.SP2022★ 1 cited
Closing the sim-to-real gap in guided wave damage detection with adversarial training of variational auto-encoders
Ishan D. Khurjekar, Joel B. Harley
Guided wave testing is a popular approach for monitoring the structural integrity of infrastructures. We focus on the primary task of damage detection, where signal processing tech…
cs.LG2021★ 1 cited
Wave-Informed Matrix Factorization with Global Optimality Guarantees
Harsha Vardhan Tetali, Joel B. Harley, Benjamin D. Haeffele
With the recent success of representation learning methods, which includes deep learning as a special case, there has been considerable interest in developing representation learni…
cs.LG2019★ 5 cited
Accounting for Physics Uncertainty in Ultrasonic Wave Propagation using Deep Learning
Ishan D. Khurjekar, Joel B. Harley
Ultrasonic guided waves are commonly used to localize structural damage in infrastructures such as buildings, airplanes, bridges. Damage localization can be viewed as an inverse pr…