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Short-Term Photovoltaic Power Generation Prediction Model Based on Improved Data Decomposition and Time Convolution Network

Energies, 2023
In response to the volatility of photovoltaic power generation, this paper proposes a short-term photovoltaic power generation prediction model (HWOA-MVMD-TPA-TCN) based on a Hybrid Whale Optimization Algorithm (HWOA), multivariate variational mode ...
Ranran Cao +4 more
doaj +1 more source

Airborne Radio-Echo Sounding Data Denoising Using Particle Swarm Optimization and Multivariate Variational Mode Decomposition

Remote Sensing, 2023
Radio-echo sounding (RES) is widely used for polar ice sheet detection due to its wide coverage and high efficiency. The multivariate variational mode decomposition (MVMD) algorithm for the processing of RES data is an improvement to the variational mode
Yuhan Chen +4 more
doaj +1 more source

Seismic attenuation estimation using multivariate variational mode decomposition

Frontiers in Earth Science, 2022
A seismic attenuation estimation approach is proposed based on multivariate variational mode decomposition (MVMD). MVMD, as a multivariable or multichannel signal processing tool, can extract several predefined multivariable modulation oscillations from ...
Jun-Zhou Liu +9 more
doaj +1 more source

A Hybrid Deep Learning Model for Link Dynamic Vehicle Count Forecasting with Bayesian Optimization

Journal of Advanced Transportation, Volume 2023, Issue 1, 2023., 2023
The link dynamic vehicle count is a spatial variable that measures the traffic state of road sections, which reflects the actual traffic demand. This paper presents a hybrid deep learning method that combines the gated recurrent unit (GRU) neural network model with automatic hyperparameter tuning based on Bayesian optimization (BO) and the improved ...
Chunguang He +4 more
wiley +1 more source

Evolving Trends in the Management of Acute Appendicitis During COVID‐19 Waves: The ACIE Appy II Study

World Journal of Surgery, Volume 46, Issue 9, Page 2021-2035, September 2022., 2022
Abstract Background In 2020, ACIE Appy study showed that COVID‐19 pandemic heavily affected the management of patients with acute appendicitis (AA) worldwide, with an increased rate of non‐operative management (NOM) strategies and a trend toward open surgery due to concern of virus transmission by laparoscopy and controversial recommendations on this ...
Francesco Pata +405 more
wiley +1 more source

Fault diagnosis of sensor pulse signals based on improved energy fluctuation index and VMD

Frontiers in Physics, 2023
Variational mode decomposition (VMD) has been widely applied in sensors. However, the mode number and balance parameter seriously limit VMD application.
Yuhu Liu +4 more
doaj +1 more source

Transient Electromagnetic Noise Suppression Based on MVMD and GMDFA

, 2023
<p>Noise suppression is an important topic in transient electromagnetic (TEM) data processing and interpretation. TEM data is a typical broadband signal, which makes it difficult to separate the signal in the whole frequency band. The conventional methods tend to process data trace by trace, ignoring the connections between channels.
Xiaojuan Zhang, Zhijie Qu, Shiyan Li, Kang Xing +3 more
openaire +1 more source

RF‐Gait: Gait‐Based Person Identification with COTS RFID

Wireless Communications and Mobile Computing, Volume 2022, Issue 1, 2022., 2022
Recently, person identification has been a prerequisite in many applications of the Internet of Things. As a new biometric identification technology, gait recognition has a wide application prospect with the advantages of long‐distance recognition and difficulty to forge.
Shang Jiang +7 more
wiley +1 more source

Fault Diagnosis of the Gyratory Crusher Based on Fast Entropy Multilevel Variational Mode Decomposition

Shock and Vibration, Volume 2021, Issue 1, 2021., 2021
Gyratory crusher is a kind of commonly used mining machinery. Because of its heavy workload and complex working environment, it is prone to failure and low reliability. In order to solve this problem, this paper proposes a fault diagnosis method of the gyratory crusher based on fast entropy multistage VMD, which is used to quickly and accurately find ...
Fengbiao Wu +5 more
wiley +1 more source

Multivariate Nonlinear Sparse Mode Decomposition and Its Application in Gear Fault Diagnosis

IEEE Access, 2021
Multi-channel signal has more abundant and accurate state characteristic information than single channel signal. How to separate fault characteristic information from the multi-channel signal is the key of fault diagnosis.
Haiyang Pan +3 more
doaj +1 more source

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