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   Articles with "variational mode" as a keyword



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Automated diagnosis of COVID stages using texture‐based Gabor features in variational mode decomposition from CT images

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recommendations! Published in 2023 at "International Journal of Imaging Systems and Technology"

DOI: 10.1002/ima.22865

Abstract: COVID‐19 is a deadly and fast‐spreading disease that makes early death by affecting human organs, primarily the lungs. The detection of COVID in the early stages is crucial as it may help restrict the spread… read more here.

Keywords: mode decomposition; covid; diagnosis covid; texture based ... See more keywords
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Automated screening of congestive heart failure using variational mode decomposition and texture features extracted from ultrasound images

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recommendations! Published in 2017 at "Neural Computing and Applications"

DOI: 10.1007/s00521-017-2839-5

Abstract: Heart is an important and hardest working muscular organ of the human body. Inability of the heart to restore normal perfusion to the entire body refers to cardiac failure, which then with symptoms results in… read more here.

Keywords: congestive heart; variational mode; heart; heart failure ... See more keywords
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Band selection using variational mode decomposition applied in sparsity-based hyperspectral unmixing algorithms

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recommendations! Published in 2018 at "Signal, Image and Video Processing"

DOI: 10.1007/s11760-018-1301-1

Abstract: In this work, a frequency-based dimensionality reduction technique using variational mode decomposition (VMD) is proposed. Dimensionality reduction is a very important aspect of preprocessing in case of hyperspectral image (HSI) analysis where this step helps… read more here.

Keywords: variational mode; using variational; band; dimensionality reduction ... See more keywords
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Variational mode decomposition based low rank robust kernel extreme learning machine for solar irradiation forecasting

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recommendations! Published in 2018 at "Energy Conversion and Management"

DOI: 10.1016/j.enconman.2018.06.021

Abstract: Abstract In this paper a new hybrid method has been implemented by combining Variational Mode Decomposition (VMD) and a new low rank robust kernel based Extreme Learning Machine (RKELM) for solar irradiation forecasting. This hybrid… read more here.

Keywords: irradiation; variational mode; low rank; solar irradiation ... See more keywords
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Analysis of near-fault pulse-like seismic signals through Variational Mode Decomposition technique

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recommendations! Published in 2019 at "Engineering Structures"

DOI: 10.1016/j.engstruct.2019.05.003

Abstract: Abstract The present work illustrates the results obtained from the application of the Variational Mode Decomposition technique for processing near-fault pulse-like seismic signals. This method has been adopted to analyze a database of fault-normal horizontal… read more here.

Keywords: pulse like; mode decomposition; variational mode; technique ... See more keywords
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Evaluation of biological speckle activity: Using variational mode decomposition

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recommendations! Published in 2021 at "Optik"

DOI: 10.1016/j.ijleo.2021.167475

Abstract: Abstract The physical description of the dynamic speckle behind biological tissues is often unknown or not known at all. In this paper, we investigate the application of the variational mode decomposition in dynamic speckle sequences.… read more here.

Keywords: mode decomposition; variational mode; activity; dynamic speckle ... See more keywords
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Study on planetary gear fault diagnosis based on variational mode decomposition and deep neural networks

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recommendations! Published in 2018 at "Measurement"

DOI: 10.1016/j.measurement.2018.08.002

Abstract: Abstract Planetary gear failures occur frequently in working conditions at low speeds, large loads, and closed operating environments, which makes the identification of faults a difficult task. A fault diagnosis method for planetary gear based… read more here.

Keywords: variational mode; planetary gear; fault diagnosis; neural networks ... See more keywords
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Application of tentative variational mode decomposition in fault feature detection of rolling element bearing

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recommendations! Published in 2019 at "Measurement"

DOI: 10.1016/j.measurement.2018.11.083

Abstract: Abstract In contrast to empirical mode decomposition (EMD), variational mode decomposition (VMD) has better robustness to noise and sampling. In the VMD, the mode number is a key parameter that VMD can be applied successfully.… read more here.

Keywords: mode decomposition; variational mode; tentative variational; mode ... See more keywords
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Knock detection based on the optimized variational mode decomposition

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recommendations! Published in 2019 at "Measurement"

DOI: 10.1016/j.measurement.2019.03.042

Abstract: Abstract In order to extract slight characteristics and achieve exact control of engine knock to improve the overall performance of engine, the optimized Variational Mode Decomposition (VMD) algorithm is introduced to process the vibration signals… read more here.

Keywords: decomposition; optimized variational; mode decomposition; variational mode ... See more keywords
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Variational mode decomposition denoising combined with improved Bhattacharyya distance

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recommendations! Published in 2020 at "Measurement"

DOI: 10.1016/j.measurement.2019.107283

Abstract: Abstract In order to better eliminate the noise interference in pipeline leakage detection, a method based on the combination of variational mode decomposition (VMD) and improved Bhattacharyya distance (BD) is proposed. The method first performs… read more here.

Keywords: variational mode; decomposition; bhattacharyya distance; improved bhattacharyya ... See more keywords
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An adaptive variational mode decomposition based on sailfish optimization algorithm and Gini index for fault identification in rolling bearings

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recommendations! Published in 2020 at "Measurement"

DOI: 10.1016/j.measurement.2020.108514

Abstract: Abstract Variational mode decomposition (VMD) method is a recently employed signal processing technique for fault identification from the vibration signal of rolling bearings. However, the selection of VMD parameters namely the number of modes (k)… read more here.

Keywords: fault identification; fault; mode decomposition; variational mode ... See more keywords