5 citations · 18 across the 10 of their papers we have counts for
10 papers
Automatic Cardiac Pathology Recognition in Echocardiography Images Using Higher Order Dynamic Mode Decomposition and a Vision Transformer for Small Datasets
Andrés Bell-Navas, Nourelhouda Groun, María Villalba-Orero +3
Heart diseases are the main international cause of human defunction. According to the WHO, nearly 18 million people decease each year because of heart diseases. Also considering th…
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…
Low-cost singular value decomposition with optimal sensor placement
Ashton Hetherington, Soledad Le Clainche
This paper presents a new method capable of reconstructing datasets with great precision and very low computational cost using a novel variant of the singular value decomposition (…
ModelFLOWs-app: data-driven post-processing and reduced order modelling tools
A. Hetherington, A. Corrochano, R. Abadía-Heredia +6
This article presents an innovative open-source software named ModelFLOWs-app, written in Python, which has been created and tested to generate precise and robust hybrid reduced or…
Deep Learning combined with singular value decomposition to reconstruct databases in fluid dynamics
Paula Díaz, Adrián Corrochano, Manuel López-Martín +1
Fluid Dynamics problems are characterized by being multidimensional and nonlinear. Therefore, experiments and numerical simulations are complex and time-consuming. Motivated by thi…
Hierarchical Higher-Order Dynamic Mode Decomposition for Clustering and Feature Selection
Adrián Corrochano, Giuseppe D'Alessio, Alessandro Parente +1
In this work, a new algorithm based on the application of higher-order dynamic mode decomposition (HODMD) is proposed for feature selection and variables clustering in reacting flo…