Results 1 to 10 of about 5,531,893 (193)
DMD-T: Thermographic Inspection of Composites using Dynamic Mode Decomposition [PDF]
2023 5th International Conference on Industrial Artificial Intelligence (IAI), 2023 In the realm of Non-Destructive Testing (NDT) of fibre reinforced polymers, InfraRed Thermography (IRT) serves as a valuable tool for diagnosis. Various processing techniques, such as principal component analysis, Fourier transformation, and thermographic signal reconstruction, are commonly utilized to improve the identification of defects.
Yunpeng Zhu +2 more
exaly +4 more sources
Dynamic Mode Decomposition (DMD) for Low-Latency Real-Time Cardiac MRI. [PDF]
Magn Reson MedABSTRACT Purpose To demonstrate dynamic mode decomposition ( DMD ) for high spatiotemporal low‐latency online reconstruction in 2D real‐time cardiac MRI.
Yagiz E +5 more
europepmc +3 more sources
An Anti-Interference Demultiplexing Method for Electromagnetic Bessel Beams Carrying Orbital Angular Momentum [PDF]
SensorsThis work presents a simple yet effective anti-interference demultiplexing method for electromagnetic Bessel beams carrying orbital angular momentum (OAM), based on smoothed dynamic mode decomposition (smoothed DMD).
Congwei Mi +3 more
doaj +2 more sources
Visualization and selection of Dynamic Mode Decomposition components for unsteady flow
Visual Informatics, 2021 Dynamic Mode Decomposition (DMD) is a data-driven and model-free decomposition technique. It is suitable for revealing spatio-temporal features of both numerically and experimentally acquired data.
T. Krake +4 more
doaj +3 more sources
Assessment of Dynamic Mode Decomposition (DMD) Model for Ionospheric TEC Map Predictions
Remote Sensing, 2023 In this study, we assess the Dynamic Mode Decomposition (DMD) model applied with global ionospheric vertical Total Electron Content (vTEC) maps to construct 24-h global ionospheric vTEC map forecasts using the available International GNSS Service (IGS) 2-
Vlad Landa, Yuval Reuveni
doaj +2 more sources
Nonlinear Correlation of POD and DMD Modal Coefficients in Reduced-Order Modeling of Flow Around a Cylinder in a Microchannel [PDF]
MicromachinesNonlinear correlations among modal coefficients enable interpretable reduced-order models (ROMs) for microfluidic flows. In this study, flow around a cylinder in a microchannel at Re = 100 is investigated using proper orthogonal decomposition (POD ...
Bin Zuo +3 more
doaj +2 more sources
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 ...
Julio Soria +2 more
exaly +3 more sources
Journal of King Saud University - Computer and Information Sciences, 2022 Detection of blood vessels in retinal images is an important step in any computer-aided pathological system for the early screening and detection of eye-related ailments such as retinal detachment, diabetic retinopathy, and macular degeneration. Propriety of the vessel enhancement process, as a pre-processing step, has been well established in medical ...
Suchithra Madathil +1 more
exaly +3 more sources
Real-time motion detection using dynamic mode decomposition [PDF]
EURASIP Journal on Image and Video ProcessingDynamic mode decomposition (DMD) is a numerical method that seeks to fit time-series data to a linear dynamical system. In doing so, DMD decomposes dynamic data into spatially coherent modes that evolve in time according to exponential growth/decay or ...
Marco Mignacca +2 more
doaj +2 more sources
Dynamic Mode Decomposition via Polynomial Root-Finding Methods
MathematicsDynamic mode decomposition (DMD) is a powerful data-driven tool for analyzing complex systems that has gained significant attention in various scientific and engineering disciplines.
Gyurhan Nedzhibov
doaj +3 more sources