Results 31 to 40 of about 5,531,893 (193)

Image segmentation and separation of spectrally similar dyes in fluorescence microscopy by dynamic mode decomposition of photobleaching kinetics

BMC Bioinformatics, 2022
Background Image segmentation in fluorescence microscopy is often based on spectral separation of fluorescent probes (color-based segmentation) or on significant intensity differences in individual image regions (intensity-based segmentation).
Daniel Wüstner
doaj   +1 more source

Data-Driven Pulsatile Blood Flow Physics with Dynamic Mode Decomposition

Fluids, 2020
Dynamic mode decomposition (DMD) is a purely data-driven and equation-free technique for reduced-order modeling of dynamical systems and fluid flow. DMD finds a best fit linear reduced-order model that represents any given spatiotemporal data.
Milad Habibi, Scott T. M. Dawson, Amirhossein Arzani   +2 more
doaj   +1 more source

Analyse des modes empiriques : une approche EDP [PDF]

, 2010
The empirical mode decomposition is a powerful tool for signal processing. Because of its original algorithmic, recent works have contributed to its theoretical framework.
DIOP, El Hadji, ALEXANDRE, Radjesvarane, BOUDRAA, Abdel-Ouahab   +2 more
core   +1 more source

Extended Online DMD and Weighted Modifications for Streaming Data Analysis

Computation, 2023
We present novel methods for computing the online dynamic mode decomposition (online DMD) for streaming datasets. We propose a framework that allows incremental updates to the DMD operator as data become available.
Gyurhan Nedzhibov
doaj   +1 more source

Online Dynamic Mode Decomposition Methods for the Investigation of Unsteady Aerodynamics of the DrivAer Model (First Report)

International Journal of Automotive Engineering, 2018
It is believed that Dynamic Mode Decomposition (DMD) is a very useful method for the analysis of unsteady aerodynamics of road vehicles. However, it seems that the conventional DMD method is not practical regarding the application on the aerodynamic ...
Daiki Matsumoto, Marco Kiewat, Lukas Haag, Thomas Indinger   +3 more
doaj   +1 more source

Predicting behavior through dynamic modes in resting-state fMRI data

NeuroImage, 2022
Dynamic properties of resting-state functional connectivity (FC) provide rich information on brain-behavior relationships. Dynamic mode decomposition (DMD) has been used as a method to characterize FC dynamics. However, it remains unclear whether dynamic
Shigeyuki Ikeda, Koki Kawano, Soichi Watanabe, Okito Yamashita, Yoshinobu Kawahara   +4 more
doaj   +1 more source

Analysis of V-Gutter Reacting Flow Dynamics Using Proper Orthogonal and Dynamic Mode Decompositions

Energies, 2020
The current work is focused on investigating the potential of data-driven post-processing techniques, including proper orthogonal decomposition (POD) and dynamic mode decomposition (DMD) for flame dynamics.
Yang Yang, Xiao Liu, Zhihao Zhang
doaj   +1 more source

Proper orthogonal and dynamic mode decomposition of sunspot data [PDF]

, 2021
High-resolution solar observations show the complex structure of the magnetohydrodynamic (MHD) wave motion. We apply the techniques of proper orthogonal decomposition (POD) and dynamic mode decomposition (DMD) to identify the dominant MHD wave modes in a
Brevis, W, Stangalini, M., Brevis, W., Jess, D.B., Jess, D. B.; id_orcid, Ballai, I, Albidah, A. B., Albidah, A.B., Verth, G., Jess, D. B., Verth, G, Fedun, V, Stangalini, Marco, Stangalini, M, Fedun, V., Albidah, AB, Higham, J., Higham, J, Ballai, I., Jess, DB   +19 more
core   +1 more source

Using the Nonuniform Dynamic Mode Decomposition to Reduce the Storage Required for PDE Simulations

International Journal of Aerospace Engineering, 2019
Partial Differential Equation simulations can produce large amounts of data. These datasets are very slow to transfer, for example, from an off-site supercomputer to a local research facility.
Brenton T. Hall, Ching-Shan Chou, Jen-Ping Chen   +2 more
doaj   +1 more source

A dynamic-mode-decomposition-based acceleration method for unsteady adjoint equations at low Reynolds numbers

Theoretical and Applied Mechanics Letters, 2023
The computational cost of unsteady adjoint equations remains high in adjoint-based unsteady aerodynamic optimization. In this letter, the solution of unsteady adjoint equations is accelerated by dynamic mode decomposition (DMD).
Wengang Chen, Jiaqing Kou, Wenkai Yang
doaj   +1 more source