5 citations · 10 across the 8 of their papers we have counts for
Showing 2024Show all
2 papers · 1 filter
physics.flu-dyn2024
LC-SVD-DLinear: A low-cost physics-based hybrid machine learning model for data forecasting using sparse measurements
Ashton Hetherington, Javier López Leonés, Soledad Le Clainche
This article introduces a novel methodology that integrates singular value decomposition (SVD) with a shallow linear neural network for forecasting high resolution fluid mechanics…
cs.CE2024★ 1 cited
Data repairing and resolution enhancement using data-driven modal decomposition and deep learning
A. Hetherington, D. Serfaty, A. Corrochano +2
This paper introduces a new series of methods which combine modal decomposition algorithms, such as singular value decomposition and high-order singular value decomposition, and de…