Results 41 to 50 of about 6,773,813 (277)
An Improved Parallel MDBN With AVMD for Nonlinear System Modeling
IEEE Access, 2020 Nonlinear system modeling using Deep Belief Network (DBN) is currently a research hotspot. However, the training process of DBN needs large amount of data to guarantee accuracy, and the traditional DBN may not meet the requirement of high-precision ...
Qibing Jin +4 more
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International Journal of Automotive Engineering, 2017 In this research, we conduct unsteady CFD to investigate the effect of engine bay flow on the steady and unsteady aerodynamics of the extended DrivAer model reproducing engine bay flow.
Daiki Matsumoto +2 more
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Investigating properties of the cardiovascular system using innovative analysis algorithms based on ensemble empirical mode decomposition [PDF]
, 2012 This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited - Copyright @ 2012 Jia-Rong Yeh et al ...
Lin, TY +5 more
core +1 more source
Mathematics, 2021 In this paper, we introduce a model-free algorithm, robust mode analysis (RMA), to extract primary constituents in a fluid or reacting flow directly from high-frequency, high-resolution experimental data.
Gemunu H. Gunaratne, Sukesh Roy
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Spectral Properties of Effective Dynamics from Conditional Expectations
Entropy, 2021 The reduction of high-dimensional systems to effective models on a smaller set of variables is an essential task in many areas of science. For stochastic dynamics governed by diffusion processes, a general procedure to find effective equations is the ...
Feliks Nüske +3 more
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IEEE AccessThis paper presents a novel framework for adaptive learning of Koopman operator to predict the behavior of nonlinear time-varying dynamical systems based on the celebrated extended dynamic mode decomposition (EDMD).
Reiya Asuke, Masahiro Yukawa
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Beyond One-Step Accuracy: Closed-Loop Rollout Reveals a Validation Gap in Hankel–DMD/Koopman Models for Gravity-Gradient-Stabilized CubeSat Attitude Dynamics [PDF]
INCAS BulletinData-driven Koopman operator methods, particularly Extended Dynamic Mode Decomposition (EDMD) and Hankel Dynamic Mode Decomposition (Hankel-DMD), have emerged as promising reduced-order models for nonlinear spacecraft attitude dynamics.
Aswin KARKADAKATTIL
doaj +1 more source
Enhanced monopulse radar tracking using empirical mode decomposition [PDF]
, 2010 Monopulse radar processors are used to track targets that appear in the look direction beamwidth. The target tracking information (range, azimuth angle, and elevation angle) are affected when manmade high power interference (jamming) is introduced to the
Elgamel, Sherif A.E.H., Soraghan, J.J.
core +3 more sources
Analytic Extended Dynamic Mode Decomposition
SIAM Journal on Applied Dynamical SystemsWe develop a novel EDMD-type algorithm that captures the spectrum of the Koopman operator defined on a reproducing kernel Hilbert space of analytic functions. This method, which we call analytic EDMD, relies on an orthogonal projection on polynomial subspaces, which is equivalent to a data-driven Taylor approximation.
Alexandre Mauroy, Igor Mezić
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Structural insights into an engineered feruloyl esterase with improved MHET degrading properties
FEBS Letters, EarlyView.A feruloyl esterase was engineered to mimic key features of MHETase, enhancing the degradation of PET oligomers. Structural and computational analysis reveal how a point mutation stabilizes the active site and reshapes the binding cleft, expading substrate scope.
Panagiota Karampa +5 more
wiley +1 more source