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]
Ocean Science, 2023 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
doaj +1 more source
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
openaire +2 more sources
Software pipeline for predicting and analyzing the structure of the receptor–ligand
Учёные записки Казанского университета: Серия Физико-математические науки, 2022 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
doaj +1 more source
VMD DisRg: New User-Friendly Implement for calculation distance and radius of gyration in VMD program [PDF]
Bioinformation, 2012 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
openaire +2 more sources
krassowski/vmd-agr-parser: v1.0
, 2020 Simple script for plotting .agr (Grace) files created with VMD (Visual Molecular Dynamics).
Michał Krassowski
core +1 more source
LED-Lidar Echo Denoising Based on Adaptive PSO-VMD
, 2022 LED (light-emitting diode)-lidar (light detection and ranging) has gradually been focused on by researchers because of its characteristics of low power, high stability, and safety to human eyes.
Bei Liu +5 more
core +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
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
Proposed VMD-ALO-DLFTSVM predictor framework.
, 2022 Proposed VMD-ALO-DLFTSVM predictor framework.
Jaikumar S. (13813296) +3 more
core +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