4 citations · 4 across the 20 of their papers we have counts for
5 papers · 1 filter
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…
Modeling heart flow dynamics using numerical simulations to identify the vortex ring: a practical guide
Eneko Lazpita, Andrea Mares, Pedro Quintero +2
In this study, we present a comprehensive numerical analysis of blood flow within human left ventricle models, with particular emphasis on optimizing simulation conditions to enhan…
EigenHearts: Cardiac Diseases Classification Using EigenFaces Approach
Nourelhouda Groun, Maria Villalba-Orero, Lucia Casado-Martin +4
In the realm of cardiovascular medicine, medical imaging plays a crucial role in accurately classifying cardiac diseases and making precise diagnoses. However, the field faces sign…
Review on vortex dynamics in the left ventricle as an early diagnosis marker for heart diseases and its treatment outcomes
Mahesh S. Nagargoje, Eneko Lazpita, Jesús Garicano-Mena +1
The heart is the central part of the cardiovascular network. Its role is to pump blood to various body organs. Many cardiovascular diseases occur due to an abnormal functioning of…
Transformer-Based Fault-Tolerant Control for Fixed-Wing UAVs Using Knowledge Distillation and In-Context Adaptation
Francisco Giral, Ignacio Gómez, Ricardo Vinuesa +1
This study presents a transformer-based approach for fault-tolerant control in fixed-wing Unmanned Aerial Vehicles (UAVs), designed to adapt in real time to dynamic changes caused…