Results 41 to 50 of about 7,852 (282)

Research on an Identification Method of Post Porcelain Insulator Damage Based on Variational Modal Algorithm

Zhejiang dianli, 2022
In view of the difficulty in signal identification in vibration acoustic detection of post porcelain insulators， A BP （backpropagation） neural network identification method based on variational mode decomposition （VMD） is proposed to identify the damage ...
LUO Hongjian, ZHANG Jie, ZHAO Zhoufeng, JIAO Jingpin   +3 more
doaj   +1 more source

Variational Mode Decomposition Features for Heartbeat Classification

Computing in Cardiology Conference (CinC), 2018
In software applications to analyse Heart Rate Variability (HRV) or to detect heart rhythm disorders, automatic heartbeat classification is a first step to expose abnormalities in the electrical activity of the heart. We propose a new morphological description of heartbeats based on Variational Mode Decomposition (VMD) to classify them as normal ...
Villa Gómez, A., Padhy, S., Willems, R., Van Huffel, S., Varon Perez, C.   +4 more
openaire   +1 more source

Short-term traffic flow prediction: An ensemble machine learning approach

Alexandria Engineering Journal, 2023
The inconvenience of travel, air pollution and consequent economic losses caused by traffic congestion have seriously restricted the healthy and sustainable development of cities in China.
Guowen Dai, Jinjun Tang, Wang Luo
doaj   +1 more source

Reduced-order variational mode decomposition

, 2022
A novel data-driven method of modal analysis for complex flow dynamics, termed as reduced-order variational mode decomposition (RVMD), has been proposed, combining the idea of the separation of variables and a state-of-the-art nonstationary signal-processing technique -- variational mode decomposition.
Liao, Zi-Mo, Zhao, Zhiye, Chen, Liang-Bing, Wan, Zhen-Hua, Liu, Nan-Sheng, Lu, Xi-Yun   +5 more
openaire   +2 more sources

A novel few-sample wind power prediction model based on generative adversarial network and quadratic mode decomposition

Frontiers in Energy Research, 2023
With the emergence of various new power systems, accurate wind power prediction plays a critical role in their safety and stability. However, due to the historical wind power data with few samples, it is difficult to ensure the accuracy of power system ...
Hang He, Hang He, Manman Yuan
doaj   +1 more source

Predicting e-commerce product prices through the integration of variational mode decomposition and deep neural networks. [PDF]

PeerJ Comput Sci
Product prices frequently manifest nonlinear and nonstationary time-series attributes, indicating potential variations in their behavioral patterns over time.
Wu H.
europepmc   +2 more sources

A Study on Agricultural Commodity Price Prediction Model Based on Secondary Decomposition and Long Short-Term Memory Network

Agriculture, 2023
In order to address the significant prediction errors resulting from the substantial fluctuations in agricultural product prices and the non-linear features, this paper proposes a hybrid forecasting model based on variational mode decomposition (VMD ...
Changxia Sun, Menghao Pei, Bo Cao, Saihan Chang, Haiping Si   +4 more
doaj   +1 more source

Application of the Variational Mode Decomposition for Power Quality Analysis [PDF]

, 2019
Harmonics and interharmonics in power systems distort the grid voltage, deteriorate the quality and stability of the power grid. Therefore, rapid and accurate harmonic separation from the grid voltage is crucial to power system.
Li, Guofeng, Wang, Wei, Cai, Kewei, Cao, Wenping, Liu, Zheng   +4 more
core   +1 more source

The human gut microbiome across the life course

FEBS Letters, EarlyView.
Despite significant individual variation and continuous change throughout life, the human gut microbiome follows some life stage‐specific trends. This article provides a brief overview of how gut microbiome composition shifts across different phases of life. Created in BioRender. Özkurt, E. (2026) https://BioRender.com/8q4nrnc.
Alise J. Ponsero, Basak Bahcivanci, Antonietta Hayhoe, Animesh Acharjee, Ezgi Özkurt   +4 more
wiley   +1 more source

Radar fingerprint extraction via variational mode decomposition [PDF]

2017 25th Signal Processing and Communications Applications Conference (SIU), 2017
In iMs paper, a novel method for extracting radar fingerprint using the unintentional modulation on radar signals is proposed. Proposed technique decomposes the unintentional modulations into its components using Variational Mode Decomposition (VMD) technique. Then, features that characterize each component are calculated.
Gokhan Gok, Yasar Kemal Alp, Fatih Altiparmak   +2 more
openaire   +2 more sources