130 citations · 579 across the 34 of their papers we have counts for
3 papers · 1 filter
Deep learning-based reduced order models in cardiac electrophysiology
Stefania Fresca, Andrea Manzoni, Luca Dedè +1
Predicting the electrical behavior of the heart, from the cellular scale to the tissue level, relies on the formulation and numerical approximation of coupled nonlinear dynamical s…
Fully convolutional networks for structural health monitoring through multivariate time series classification
Luca Rosafalco, Andrea Manzoni, Stefano Mariani +1
We propose a novel approach to Structural Health Monitoring (SHM), aiming at the automatic identification of damage-sensitive features from data acquired through pervasive sensor s…
A comprehensive deep learning-based approach to reduced order modeling of nonlinear time-dependent parametrized PDEs
Stefania Fresca, Luca Dede, Andrea Manzoni
Traditional reduced order modeling techniques such as the reduced basis (RB) method (relying, e.g., on proper orthogonal decomposition (POD)) suffer from severe limitations when de…