Dynamic Hyperbolic Tangent PSO-Optimized VMD for Pressure Signal Denoising and Prediction in Water Supply Networks [PDF]
EntropyUrban water supply networks are prone to complex noise interference, which significantly degrades the performance of data-driven forecasting models. Conventional denoising techniques, such as standard Variational Mode Decomposition (VMD), often rely on ...
Yujie Shang, Zheng Zhang
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Research on communication emitter identification based on semi-supervised dimensionality reduction in complex electromagnetic environment [PDF]
Bulletin of the Polish Academy of Sciences: Technical Sciences, 2023 The individual identification of communication emitters is a process of identifying different emitters based on the radio frequency fingerprint features extracted from the received signals. Due to the inherent non-linearity of the emitter power amplifier,
Wei Ge +6 more
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A noise reduction forecasting method of bus load based on sequence decomposition
Zhejiang dianli, 2023 In the context of new power systems， the diverse distributed power sources and user-side behavior have introduced instability in bus loads， thus presenting a fresh challenge for short-term load forecasting.
YANG Jian +5 more
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Journal of Water and Climate Change, 2023 Accurate runoff prediction is of great significance for flood prevention and mitigation, agricultural irrigation, and reservoir scheduling in watersheds. To address the strong non-linear and non-stationary characteristics of runoff series, a hybrid model
Shaolei Guo +3 more
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Confirmation of the Rabbit Hemorrhagic Disease Virus Type 2 (GI.2) Circulation in North Africa
Acta Veterinaria, 2022 Rabbit hemorrhagic disease (RHD) is a highly contagious viral disease that causes fatal acute hepatitis in domestic and wild lagomorphs. It has taken on major economic importance in countries like Morocco.
Saidi Aissa, Aboutaib Abdelouahed
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Using VMD: An Introductory Tutorial [PDF]
Current Protocols in Bioinformatics, 2008 AbstractVMD (Visual Molecular Dynamics) is a molecular visualization and analysis program designed for biological systems such as proteins, nucleic acids, lipid bilayer assemblies, etc. This unit will serve as an introductory VMD tutorial. We will present several step‐by‐step examples of some of VMD's most popular features, including visualizing ...
Jen, Hsin +4 more
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MEMBPLUGIN: studying membrane complexity in VMD [PDF]
Bioinformatics, 2014 AbstractSummary: Computer simulations are giving way to more complex and accurate studies of biological membranes by molecular dynamics (MD) simulations. The analysis of MD trajectories comprises the biophysical characterization of membrane properties or the study of protein–lipid interactions and dynamics.
GuixàGonzález R +6 more
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International Journal of Applied Mechanics and Engineering, 2022 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
Water Science and Technology, 2023 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]
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
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