Results 31 to 40 of about 5,625,691 (189)
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
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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 +2 more
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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 +3 more
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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
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Fluids, 2023 The quest for the physical mechanisms underlying turbulent high-speed jet flows is underpinned by the extraction of spatio-temporal coherent structures from their flow fields. Experimental measurements to enable data decomposition need to comprise time-resolved velocity fields with a high-spatial resolution—qualities which current particle image ...
Vishal Chaugule +4 more
openaire +2 more sources
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 +4 more
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Stochastic parameterization with dynamic mode decomposition
, 2022 A physical stochastic parameterization is adopted in this work to account for the effects of the unresolved small-scale on the large-scale flow dynamics.
Mémin, Etienne +2 more
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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
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Parametric Dynamic Mode Decomposition for Reduced Order Modeling [PDF]
, 2023 Dynamic Mode Decomposition (DMD) is a method by which spatial modes can be extracted from experimental or numerical data sets. DMD can be used as well to obtain a low rank or reduced operator for a physical system by singular value decomposition of ...
Huhn, Quincy Aaron
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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 +2 more
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