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
Tomographic Particle Image Velocimetry and Dynamic Mode Decomposition (DMD) in a Rectangular Impinging Jet: Vortex Dynamics and Acoustic Generation [PDF]
Fluids, 2021 Impinging jets are encountered in ventilation systems and many other industrial applications. Their flows are three-dimensional, time-dependent, and turbulent. These jets can generate a high level of noise and often present a source of discomfort in closed areas.
Mouhammad El Hassan +2 more
exaly +5 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
PF-DMD: Physics-fusion dynamic mode decomposition for accurate and robust forecasting of dynamical systems with imperfect data and physics [PDF]
, 2023 The DMD (Dynamic Mode Decomposition) method has attracted widespread attention as a representative modal-decomposition method and can build a predictive model. However, the DMD may give predicted results that deviate from physical reality in some scenarios, such as dealing with translation problems or noisy data.
Yin, Yuhui +5 more
openaire +3 more sources
Bagging, optimized dynamic mode decomposition for robust, stable forecasting with spatial and temporal uncertainty quantification [PDF]
Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 2022 Dynamic mode decomposition (DMD) provides a regression framework for adaptively learning a best-fit linear dynamics model over snapshots of temporal, or spatio-temporal, data. A variety of regression techniques have been developed for producing the linear model approximation whose solutions are exponentials in time.
Diya Sashidhar, J. Nathan Kutz
openaire +4 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
Regularized dynamic mode decomposition algorithm for time sequence predictions
Theoretical and Applied Mechanics LettersDynamic mode decomposition (DMD) aims at extracting intrinsic mechanisms in a time sequence via linear recurrence relation of its observables, thereby predicting later terms in the sequence. Stability is a major concern in DMD predictions.
Xiaoyang Xie, Shaoqiang Tang
doaj +2 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