Results 51 to 60 of about 26,466 (149)
The Research Journal of the Costume Culture, 2008 【The purpose of this study is the structural relations will be examined among the VMD image of clothe stores, emotional reactions of brand awareness, brand image, brand attitude, and purchase intention. An empirical study in experimental design was conducted to female college students in their twenties, who made a huge influential group in the fashion ...
null 이소은, null Lim,Sook-Ja
openaire +1 more source
Results in EngineeringIn this study, we offer a dual-decomposition hybrid time series forecasting model that combines improved complete ensemble empirical mode decomposition with adaptive noise (ICEEMDAN) and variational mode decomposition (VMD) with gated recurrent unit (GRU)
Aastha M. Sathe +2 more
doaj +1 more source
Speech enhancement based on mEMD‐VMD method
Electronics Letters, 2017 A novel and effective speech enhancement method is proposed for suppressing the white noise as well as non‐stationary acoustic noises. The proposed method employs the combination of variational mode decomposition (VMD) and empirical mode decomposition (EMD) methods.
A. Upadhyay, R.B. Pachori
openaire +1 more source
New 2D-Variational Mode Decomposition-Based Techniques for Seismic Attribute Enhancement
Applied SciencesSeismic attributes are widely used to enhance the interpretation of structural, stratigraphic, and lithologic features in subsurface data. Their effectiveness, however, can be limited by noise, resolution constraints, and processing artifacts. This study
Said Gaci, Mohammed Farfour
doaj +1 more source
Applied SciencesVariational modal decomposition (VMD) is frequently employed for both signal decomposition and extracting features; however, the decomposition outcome is influenced by the quantity of intrinsic modal functions (IMFs) and the specific parameter values of ...
Haoran Du +3 more
doaj +1 more source
Prediction of significant wave height using a VMD-LSTM-rolling model in the South Sea of China
Frontiers in Marine ScienceAccurate prediction of significant wave height is crucial for ocean engineering. Traditional time series prediction models fail to achieve satisfactory results due to the non-stationarity of significant wave height.
Tong Ding +5 more
doaj +1 more source
Scientific ReportsThe emergence of Deep Learning provides an opportunity for traffic flow prediction. However, uncertainty and volatility exhibited by nonlinearity and instability of traffic flow pose challenges to Deep Learning models.
Chuanxiang Ren +4 more
doaj +1 more source
A Hybrid VMD-TPE-TCN Framework for Wind Shear Prediction near an Airport Runway
AtmosphereWind shear presents a critical challenge to aviation safety, particularly during aircraft takeoff and landing, necessitating precise and timely forecasting to mitigate operational risks. This paper introduces a hybrid Variational Mode Decomposition (VMD)
Afaq Khattak +3 more
doaj +1 more source
A novel stabilized artificial neural network model enhanced by variational mode decomposing
HeliyonExisting artificial neural networks (ANNs) have attempted to efficiently identify underlying patterns in environmental series, but their structure optimization needs a trial-and-error process or an external optimization effort.
Ali Danandeh Mehr +4 more
doaj +1 more source
Research on fault positioning of underground power cable
Gong-kuang zidonghuaThe traditional underground power cable fault positioning method relies on subjective parameter selection and noise resistance is poor. It cannot meet the accurate fault positioning requirements of underground power cable under strong noise background ...
SHANG Liqun +4 more
doaj +1 more source