Results 11 to 20 of about 49,831 (187)

A New Forecasting Approach for Oil Price Using the Recursive Decomposition–Reconstruction–Ensemble Method with Complexity Traits

Entropy, 2023
The subject of oil price forecasting has obtained an incredible amount of interest from academics and policymakers in recent years due to the widespread impact that it has on various economic fields and markets.
Fang Wang, Menggang Li, Ruopeng Wang
doaj   +1 more source

Signature extraction from the dynamic responses of a bridge subjected to a moving vehicle using complete ensemble empirical mode decomposition

Journal of Low Frequency Noise, Vibration and Active Control, 2021
Technology that measures bridge responses when a vehicle is crossing over it for structural health monitoring has been under development for approximately a decade.
Feng Xiao, Gang S Chen, Wael Zatar, J Leroy Hulsey   +3 more
doaj   +1 more source

Electrocardiogram Analysis by Means of Empirical Mode Decomposition-Based Methods and Convolutional Neural Networks for Sudden Cardiac Death Detection

Applied Sciences, 2023
Sudden cardiac death (SCD) is a global health problem, which represents 15–20% of global deaths. This type of death can be due to different heart conditions, where ventricular fibrillation has been reported as the main one.
Manuel A. Centeno-Bautista, Angel H. Rangel-Rodriguez, Andrea V. Perez-Sanchez, Juan P. Amezquita-Sanchez, David Granados-Lieberman, Martin Valtierra-Rodriguez   +5 more
doaj   +1 more source

Development of novel hybrid models for the prediction of Covid-19 in Kuwait

Kuwait Journal of Science, 2021
The first case of coronavirus 2019 (Covid-19) in Kuwait was reported on February 24, 2020, and then day by day cases of Covid-19 keep on increasing.
Ahmad Aldousari, Maria Qurban, Ijaz Hussain, Maha Al-Hajeri   +3 more
doaj   +1 more source

Complementary ensemble adaptive sparsest narrow-band decomposition method and its applications to the gear crack fault diagnosis

Advances in Mechanical Engineering, 2020
Adaptive sparsest narrow-band decomposition is the most sparse solution to search for signals in the over-complete dictionary library containing intrinsic mode functions, which transform the signal decomposition into an optimization problem, but the ...
Yanfeng Peng, Junhang Chen, Ruiqiong Luo, Xiaojun Xie, Xianyu Zhu, Yanfei Liu, QingHua Lu, Kuanfang He   +7 more
doaj   +1 more source

An effective electrocardiogram segments denoising method combined with ensemble empirical mode decomposition, empirical mode decomposition, and wavelet packet

IET Signal Processing, 2023
Electrocardiogram (ECG) is the most extensively applied diagnostic approach for heart diseases. However, an ECG signal is a weak bioelectrical signal and is easily disturbed by baseline wander, powerline interference, and muscle artefacts, which make ...
Yaru Yue, Chengdong Chen, Xiaoyuan Wu, Xiaoguang Zhou   +3 more
doaj   +1 more source

Improved Ensemble Empirical Mode Decomposition and Its Application [PDF]

Proceedings of The 5th International Conference on Computer Engineering and Networks — PoS(CENet2015), 2015
A white noise parameter and a number of ensembles for EEMD adaptively obtained method (Adaptive Ensemble Empirical Mode Decomposition, AEEMD) is proposed to tackle the problem that the EEMD parameters are inaccurately chosen by the people’s experience.
Xuze Lin, Yanping Cai, Xinjun Wang, Fang Wang   +3 more
openaire   +1 more source

Research of partial discharge detection for XLPE cable

Gong-kuang zidonghua, 2014
In order to extract characteristics of partial discharge signals, the paper proposed an adaptive threshold algorithm for processing partial discharge data by using ensemble empirical mode decomposition method for analysis of XLPE cable partial discharge ...
TANG Zhongyu, CHU Xin, HAN Gang, YU Yuese   +3 more
doaj   +1 more source

PERFORMANCE EVALUATION OF ENSEMBLE EMPIRICAL MODE DECOMPOSITION

Advances in Adaptive Data Analysis, 2009
Empirical mode decomposition (EMD) is an adaptive, data-driven algorithm that decomposes any time series into its intrinsic modes of oscillation, which can then be used in the calculation of the instantaneous phase and frequency. Ensemble EMD (EEMD), where the final EMD is estimated by averaging numerous EMD runs with the addition of noise, was an ...
Niazy, R, Beckmann, C, Brady, J, Smith, S   +3 more
openaire   +2 more sources

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 ...
Abbod, MF, Chen, Y, Lin, TY, Shieh, JS, Sun, WZ, Yeh, JR   +5 more
core   +2 more sources