[HTML][HTML] Data repairing and resolution enhancement using data-driven modal decomposition and deep learning
A Hetherington, D Serfaty, A Corrochano, J Soria… - … Thermal and Fluid …, 2024 - Elsevier
This paper introduces a new series of methods which combine modal decomposition
algorithms, such as singular value decomposition and high-order singular value …
algorithms, such as singular value decomposition and high-order singular value …
A data–driven sensibility tool for flow control based on resolvent analysis
This study presents a novel application of data-driven resolvent analysis algorithm for flow
control. The objective is to identify key coherent structures connected to regions of the flow …
control. The objective is to identify key coherent structures connected to regions of the flow …
A new method based on physical patterns to impute aerobiological datasets
S Tagliaferro, A Corrochano, P Marchetti, A Marcon… - PloS one, 2024 - journals.plos.org
Limited research has assessed the accuracy of imputation methods in aerobiological
datasets. We conducted a simulation study to evaluate, for the first time, the effectiveness of …
datasets. We conducted a simulation study to evaluate, for the first time, the effectiveness of …
[HTML][HTML] Enhancing artificial neural network learning efficiency through Singular value decomposition for solving partial differential equations
Partial differential equations (PDEs) hold significant potential for modelling natural
phenomena. It is essential to look at a practical way to solve the PDEs. Recently, Artificial …
phenomena. It is essential to look at a practical way to solve the PDEs. Recently, Artificial …
Blockchain-Assisted Unsupervised Learning Method for Crowdsourcing Reputation Management.
T Wang, K Chen - CMES-Computer Modeling in Engineering …, 2024 - search.ebscohost.com
Crowdsourcing holds broad applications in information acquisition and dissemination, yet
encounters challenges pertaining to data quality assessment and user reputation …
encounters challenges pertaining to data quality assessment and user reputation …
Reconstructing Volumetric Flow in the Wake of a Rigid Airfoil Using 2D Flow Field Data
MH Kashefi, M Khazaee Kuhpar… - AIAA SCITECH 2025 …, 2025 - arc.aiaa.org
This study focuses on the reconstruction of three-dimensional (3D) wake flow around an
airfoil using a snapshot optimization (SO) technique. The flow is reconstructed from sparse …
airfoil using a snapshot optimization (SO) technique. The flow is reconstructed from sparse …
Unraveling complexity: Singular value decomposition in complex experimental data analysis
JF Stein, A Frydman, R Berkovits - SciPost Physics Core, 2024 - scipost.org
Analyzing complex experimental data with multiple parameters is challenging. We propose
using Singular Value Decomposition (SVD) as an effective solution. This method …
using Singular Value Decomposition (SVD) as an effective solution. This method …