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Real-time chatter detection based on fast recursive variational mode decomposition
Real-time chatter detection is crucial for avoiding damage to machine tools and workpieces. Time–frequency analysis methods have been extensively...
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Classification of Heart Signal Using Variational Mode Decomposition
An Electrocardiography (ECG) signals, which represent the electrical activities of a human heart and provide data on its function and diseases, are...
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Powerline interference reduction in ECG signals using variable notch filter designed via variational mode decomposition
For cardiovascular disease diagnosis, the utility of the Electrocardiogram (ECG) signal is comprehensive. For accurate ECG analysis, early diagnosis...
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Electrocardiogram prediction based on variational mode decomposition and a convolutional gated recurrent unit
Electrocardiogram (ECG) prediction is highly important for detecting and storing heart signals and identifying potential health hazards. To improve...
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A Novel Computer-Aided Diagnostic System for Alzheimer’s Diagnosis Using Variational Mode Decomposition Method
Alzheimer’s disease (AD) is a significant neurological disorder with deficits in cognitive and behavioral brain functions. Although there is no cure...
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A New Variational Mode Decomposition-Based Passive Islanding Detection Strategy for Hybrid Distributed Renewable Generations
In this article, we develop a novel passive islanding detection strategy for a hybrid distributed generation (DG) system that uses variational mode...
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Structural damage identification based on variational mode decomposition–Hilbert transform and CNN
To improve the identification accuracy of structural damage using vibration response signals and deep learning models, we developed a novel...
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A Variational Mode Decomposition Approach for Modal Identification of Structures
Modal identification describes the behavior of the structure under dynamic loading conditions such as earthquake and wind. A newly developed...
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An improved bearing fault diagnosis method based on variational mode decomposition and adaptive iterative filtering (VMD-AIF)
Rolling bearings are widely applied in rotary machines. Bearing failures can lead to long machine downtime and costly maintenance. To reduce the...
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Successive variational mode decomposition and blind source separation based on salp swarm optimization for bearing fault diagnosis
In this paper, we are interested in develo** a new approach that combines successive variational mode decomposition and blind source separation...
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Successive multivariate variational mode decomposition
This paper presents an extension of variational mode decomposition (VMD) for successively extracting the modes of multi-sensor data sets. First, we...
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Accurate 77-GHz Millimeter-Wave Radar Noncontact Vital Sign Detection Using the Optimized Variational Mode Decomposition Algorithm
Respiration and heartbeat are important vital signs of the human body. More detection systems, for these vital signs, especially for noncontact...
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Emotional speech analysis and classification using variational mode decomposition
This work presents the analysis and classification of emotional speech signals using a novel technique, variational mode decomposition on recorded...
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Data-Driven Volatile Cryptocurrency Price Forecasting via Variational Mode Decomposition and BiLSTM
Cryptocurrency is based on blockchain technology which is ideally decentralised, referring to no superior authority overlooking it. The community is...
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A two-stage model for stock price prediction based on variational mode decomposition and ensemble machine learning method
Accurate stock price prediction is critical for investment decisions in the stock market. To improve the performance of stock price prediction, this...
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Forecasting Intraday Stock Price Using Attention Mechanism and Variational Mode Decomposition
Stock price forecasting is a prominent topic in quantitative finance, as accurate prediction is essential due to the complexity of the market. This...
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Aortic Pressure Waveform Estimation Based on Variational Mode Decomposition and Gated Recurrent Unit
Objective: Aortic pressure waveform (APW) can provide vital indices for the diagnosis of cardiovascular diseases. Although various APW estimation...
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Improved Variational Modal Decomposition for Partial Discharge Denoising
In order to remove the large amount of white noise mixed in partial discharge (PD) signals, this paper proposes a novel denoising method that...
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CT Image Enhancement Using Variational Mode Decomposition for AI-Enabled COVID Classification
SARS-COV-2, also known as COVID-19 pandemic, has escalated calamity in the entire world. Due to its contagious properties, the disease spreads...
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The evaluation of seismocardiogram signal pre-processing using hybridized variational mode decomposition method
This study aims to determine the performance of variational mode decomposition (VMD) combined with detrended fluctuation analysis (DFA) as a hybrid...
