Modeling and simulation of VMD desalination process by ANN [PDF]
Abstract In this work, an artificial neural network (ANN) model based on the experimental data was developed to study the performance of vacuum membrane distillation (VMD) desalination process under different operating parameters such as the feed inlet temperature, the vacuum pressure, the feed flow rate and the feed salt concentration.
Wensheng Cao +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
doaj +1 more source
Since variational mode decomposition (VMD) was proposed, it has been widely used in condition monitoring and fault diagnosis of mechanical equipment. However, the parameters K and α in the VMD algorithm need to be set before decomposition, which ...
Hui Li +5 more
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
LED-Lidar Echo Denoising Based on Adaptive PSO-VMD
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
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
doaj +1 more source
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
doaj +1 more source
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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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
openaire +2 more sources

