Results 41 to 50 of about 34,434 (155)
Denoising techniques in adaptive multi-resolution domains with applications to biomedical images
Variational mode decomposition (VMD) is a new adaptive multi-resolution technique suitable for signal denoising purpose. The main focus of this work has been to study the feasibility of several image denoising techniques in empirical mode decomposition ...
Salim Lahmiri
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Fermions on an Interval: Quark and Lepton Masses without a Higgs
We consider fermions on an extra dimensional interval. We find the boundary conditions at the ends of the interval that are consistent with the variational principle, and explain which ones arise in various physical circumstances.
A. Pomarol +60 more
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Automatic Expansion of Voltage Signals Using Empirical Mode Decomposition for Voltage Sag Detection
Voltage sag is one of the most harmful power quality issues. In practical engineering, harmonic and noise interference problems will bring big challenges to the analysis of voltage signals.
Heyang Li, Chao Meng, Yingru Zhao
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Reduced Order Optimal Control of the Convective FitzHugh-Nagumo Equation
In this paper, we compare three model order reduction methods: the proper orthogonal decomposition (POD), discrete empirical interpolation method (DEIM) and dynamic mode decomposition (DMD) for the optimal control of the convective FitzHugh-Nagumo (FHN ...
Karasözen, Bülent +2 more
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We present a three-dimensional (3D) common-refinement method for non-matching meshes between discrete non-overlapping subdomains of incompressible fluid and nonlinear hyperelastic structure.
Jaiman, Rajeev Kumar +3 more
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The continuous casting process is a continuous, complex phase transition process. The noise components of the continuous casting process are complex, the model is difficult to establish, and it is difficult to separate the noise and clear signals ...
Zhufeng Lei, Wenbin Su, Qiao Hu
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Simulating generic spin-boson models with matrix product states
The global coupling of few-level quantum systems ("spins") to a discrete set of bosonic modes is a key ingredient for many applications in quantum science, including large-scale entanglement generation, quantum simulation of the dynamics of long-range ...
Rey, Ana Maria +2 more
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Effective forecasting of carbon prices helps investors to judge carbon market conditions and promotes the environment and economic sustainability.
Li Ni, Venus Khim-Sen Liew
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With the growing penetration of wind power into electric grids, improving wind speed prediction accuracy has become particularly valuable for the exploitation of wind power.
Jujie Wang, Yanfeng Wang, Yaning Li
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We discuss a novel form of the variational approach in Quantum Field Theory in which the trial quantum configuration is represented directly in terms of relevant expectation values rather than, e.g., increasingly complicated structure from Fock space ...
CHUENG-RYONG JI +2 more
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