23 citations · 26 across the 3 of their papers we have counts for
3 papers
Uncertainty-aware damage identification in short-span bridges via physics-informed variational autoencoder
Ana Fernandez-Navamuel, A. Javier Omella, Diego Zamora-Sanchez +1
Vibration-based damage identification in civil infrastructure is a challenging, ill-posed inverse problem due to measurement noise, sparse sensor arrays, and environmental variabil…
An -adaptive finite element method using neural networks for parametric self-adjoint elliptic problem
Danilo Aballay, Federico Fuentes, Vicente Iligaray +5
This work proposes an -adaptive finite element method (FEM) using neural networks (NNs). The method employs the Ritz energy functional as the loss function, currently limiting i…
Modeling extra-deep electromagnetic logs using a deep neural network
Sergey Alyaev, Mostafa Shahriari, David Pardo +4
Modern geosteering is heavily dependent on real-time interpretation of deep electromagnetic (EM) measurements. We present a methodology to construct a deep neural network (DNN) mod…