Results 31 to 40 of about 38,147 (211)
VMD-SS: A graphical user interface plug-in to calculate the protein secondary structure in VMD program [PDF]
Bioinformation, 2014 The investigation on the types of secondary structure (SS) of a protein is important. The evolution of secondary structures during molecular dynamics simulations is a useful parameter to analyze protein structures. Therefore, it is of interest to describe VMD-SS (a software program) for the identification of secondary structure elements and its ...
Yahyavi, Masoumeh +4 more
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Short-Term Wind Power Forecasting Based on VMD and a Hybrid SSA-TCN-BiGRU Network
Applied Sciences, 2023 Wind power generation is a renewable energy source, and its power output is influenced by multiple factors such as wind speed, direction, meteorological conditions, and the characteristics of wind turbines.
Yujie Zhang +4 more
semanticscholar +1 more source
Monthly Runoff Prediction Method Based on Secondary Decomposition and SupportVector Machine [PDF]
Zhengzhou Daxue xuebao. Gongxue banA monthly runoff prediction model( STL-VMD-SVM) based on a secondary decomposition using loess( STL) and variational mode decomposition (VMD) combined with a support vector machine( SVM) was proposed to address the nonlinear and non-stationary ...
GAN Rong +5 more
doaj +1 more source
Lithium-Ion Battery Health State Prediction Based on VMD and DBO-SVR
Energies, 2023 Accurate estimation of the state-of-health (SOH) of lithium-ion batteries is a crucial reference for energy management of battery packs for electric vehicles.
Chunling Wu +4 more
semanticscholar +1 more source
Evaluation method of spindle performance degradation based on VMD and random forests
The Journal of Engineering, 2019 As one of the core components of the machine tool, the reliability of spindle is very important for improving machine tool quality. To effectively evaluate the performance degradation degree of the spindle, a method of degradation evaluation of the ...
Pangshi Wei, Hongjun Wang
doaj +1 more source
Healthcare Technology Letters, 2020 This Letter proposes an automated method for the detection and suppression of muscle artefacts (MAs) in the single-channel electroencephalogram (EEG) signal based on variational mode decomposition (VMD) and zero crossings count threshold criterion ...
Manali Saini +2 more
doaj +1 more source
Applied Water Science, 2023 The optimal management of water resources depends on accurate and reliable streamflow prediction. Therefore, researchers have become interested in the development of hybrid approaches in recent years to enhance the performance of modeling techniques for ...
F. Ahmadi +2 more
semanticscholar +1 more source
The Research Journal of the Costume Culture, 2008 ใThe 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 ์ด์์, null Lim,Sook-Ja
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VDNA: The virtual DNA plug-in for VMD [PDF]
Bioinformatics, 2009 Abstract Summary: The DNA inter base pair step parameters (Tilt, Roll, Twist, Shift, Slide, Rise) are a standard internal coordinate representation of DNA. In the absence of bend and shear, it is relatively easy to mentally visualize how Twist and Rise generate the familiar double helix.
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Short-Term Power Load Forecasting Based on PSO-Optimized VMD-TCN-Attention Mechanism
Energies, 2023 A new prediction framework is proposed to improve short-term power load forecasting accuracy. The framework is based on particle swarm optimization (PSO)-variational mode decomposition (VMD) combined with a time convolution network (TCN) embedded ...
Guanchen Geng +4 more
semanticscholar +1 more source