An analysis is carried out to study chemically reactive, viscous dissipative effects of an incompressible and electrically conducting fluid with MHD free convection adjacent to a vertical surface with variable thermal conductivity (VTD) and variable mass
J. Phakirappa +3 more
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Growth prediction of Microcystis aeruginosa based on a secondary decomposition integration model
Microcystis aeruginosa is the dominant species in the blooms of eutrophic lakes such as Taihu Lake in China. Chlorophyll-a is one of the most common indicators to characterize its biomass.
Juan Huan +5 more
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Short-term prediction of the significant wave height and average wave period based on the variational mode decomposition–temporal convolutional network–long short-term memory (VMD–TCN–LSTM) algorithm [PDF]
The present work proposes a prediction model of significant wave height (SWH) and average wave period (APD) based on variational mode decomposition (VMD), temporal convolutional networks (TCNs), and long short-term memory (LSTM) networks.
Q. Ji +6 more
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VMD DisRg: New User-Friendly Implement for calculation distance and radius of gyration in VMD program [PDF]
Molecular dynamic simulation is a practical and powerful technique for analysis of protein structure. Several programs have been developed to facilitate the mentioned investigation, under them the visual molecular dynamic or VMD is the most frequently used programs.
Falsafi-Zadeh, Sajad +2 more
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Fusion of GNSS and Speedometer Based on VMD and Its Application in Bridge Deformation Monitoring
Real-time dynamic displacement and spectral response on the midspan of Jiangyin Bridge were calculated using Global Navigation Satellite System (GNSS) and a speedometer for the purpose of understanding the dynamic behavior and the temporal evolution of ...
Ruicheng Zhang +3 more
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Software pipeline for predicting and analyzing the structure of the receptor–ligand
It is of fundamental importance in pharmacology and theoretical biology to analyze the binding of ligands to receptors. A better understanding of this process and its outcomes can help predict the following: how the protein interacts with ligands ...
A.S. Kozlova +3 more
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VMD-SS: A graphical user interface plug-in to calculate the protein secondary structure in VMD program [PDF]
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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Monthly Runoff Prediction Method Based on Secondary Decomposition and SupportVector Machine [PDF]
A 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
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An Online Hybrid Model for Temperature Prediction of Wind Turbine Gearbox Components
Condition monitoring can improve the reliability of wind turbines, which can effectively reduce operation and maintenance costs. The temperature prediction model of wind turbine gearbox components is of great significance for monitoring the operation ...
Qiang Zhao +4 more
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【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
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