128 citations · 990 across the 51 of their papers we have counts for
13 papers · 1 filter
Modelling the COVID-19 epidemic and the vaccination campaign in Italy by the SUIHTER model
Nicola Parolini, Luca Dede', Giovanni Ardenghi +1
Several epidemiological models have been proposed to study the evolution of COVID-19 pandemic. In this paper, we propose an extension of the SUIHTER model, first introduced in [Par…
Accelerating Algebraic Multigrid Methods via Artificial Neural Networks
Paola F. Antonietti, Matteo Caldana, Luca Dede'
We present a novel deep learning-based algorithm to accelerate - through the use of Artificial Neural Networks (ANNs) - the convergence of Algebraic Multigrid (AMG) methods for the…
A Machine Learning approach to enhance the SUPG stabilization method for advection-dominated differential problems
Tommaso Tassi, Alberto Zingaro, Luca Dede'
We propose using machine learning and artificial neural networks (ANNs) to enhance residual-based stabilization methods for advection-dominated differential problems. Specifically,…
The role of mechano-electric feedbacks and hemodynamic coupling in scar-related ventricular tachycardia
Matteo Salvador, Francesco Regazzoni, Stefano Pagani +3
Mechano-electric feedbacks (MEFs), which model how mechanical stimuli are transduced into electrical signals, have received sparse investigation by considering electromechanical si…
A machine learning method for real-time numerical simulations of cardiac electromechanics
Francesco Regazzoni, Matteo Salvador, Luca Dedè +1
We propose a machine learning-based method to build a system of differential equations that approximates the dynamics of 3D electromechanical models for the human heart, accounting…
A geometric multiscale model for the numerical simulation of blood flow in the human left heart
Alberto Zingaro, Ivan Fumagalli, Luca Dede' +4
We present a new computational model for the numerical simulation of blood flow in the human left heart. To this aim, we use the Navier-Stokes equations in an Arbitrary Lagrangian…