Results 41 to 50 of about 34,434 (155)

Denoising techniques in adaptive multi-resolution domains with applications to biomedical images

open access: yesHealthcare Technology Letters, 2016
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
doaj   +1 more source

Fermions on an Interval: Quark and Lepton Masses without a Higgs

open access: yes, 2003
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
core   +1 more source

Automatic Expansion of Voltage Signals Using Empirical Mode Decomposition for Voltage Sag Detection

open access: yesIEEE Access, 2022
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
doaj   +1 more source

Reduced Order Optimal Control of the Convective FitzHugh-Nagumo Equation

open access: yes, 2019
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
core   +1 more source

3D Common-Refinement Method for Non-Matching Meshes in Partitioned Variational Fluid-Structure Analysis

open access: yes, 2017
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
core   +1 more source

Multimode Decomposition and Wavelet Threshold Denoising of Mold Level Based on Mutual Information Entropy

open access: yesEntropy, 2019
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
doaj   +1 more source

Simulating generic spin-boson models with matrix product states

open access: yes, 2016
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
core   +1 more source

Carbon emission price forecasting in China using a novel secondary decomposition hybrid model of CEEMD-SE-VMD-LSTM

open access: yesSystems Science & Control Engineering
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
doaj   +1 more source

A Novel Hybrid Strategy Using Three-Phase Feature Extraction and a Weighted Regularized Extreme Learning Machine for Multi-Step Ahead Wind Speed Prediction

open access: yesEnergies, 2018
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
doaj   +1 more source

A novel variational approach for Quantum Field Theory: example of study of the ground state and phase transition in Nonlinear Sigma Model

open access: yes, 2004
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
core   +2 more sources

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