G. Drakoulas

activity

20222026

most cited

FastSVD-ML-ROM

: A Reduced-Order Modeling Framework based on Machine Learning for Real-Time Applications

39 citations · 41 across the 3 of their papers we have counts for

collaborators

Showing cs.LGShow all

2 papers · 1 filter

cs.LG2023★ 2 cited

Physics-based Reduced Order Modeling for Uncertainty Quantification of Guided Wave Propagation using Bayesian Optimization

G. I. Drakoulas, T. V. Gortsas, D. Polyzos

In the context of digital twins, structural health monitoring (SHM) constitutes the backbone of condition-based maintenance, facilitating the interconnection between virtual and ph…

cs.LG2022★ 39 cited

$FastSVD-ML-ROM$ : A Reduced-Order Modeling Framework based on Machine Learning for Real-Time Applications

G. I. Drakoulas, T. V. Gortsas, G. C. Bourantas +2

Digital twins have emerged as a key technology for optimizing the performance of engineering products and systems. High-fidelity numerical simulations constitute the backbone of en…

Physics-based Reduced Order Modeling for Uncertainty Quantification of Guided Wave Propagation using Bayesian Optimization

FastSVD-ML-ROM: A Reduced-Order Modeling Framework based on Machine Learning for Real-Time Applications

$FastSVD-ML-ROM$ : A Reduced-Order Modeling Framework based on Machine Learning for Real-Time Applications