Results 91 to 100 of about 50,188 (187)

A New Time Series Forecasting Model Based on Complete Ensemble Empirical Mode Decomposition with Adaptive Noise and Temporal Convolutional Network. [PDF]

Neural Process Lett, 2022
Guo C, Kang X, Xiong J, Wu J.
europepmc   +1 more source

Using Complementary Ensemble Empirical Mode Decomposition and Gated Recurrent Unit to Predict Landslide Displacements in Dam Reservoir. [PDF]

Sensors (Basel), 2022
Yang B, Xiao T, Wang L, Huang W.
europepmc   +1 more source

Noise Eliminated Ensemble Empirical Mode Decomposition Scalogram Analysis for Rotating Machinery Fault Diagnosis. [PDF]

Sensors (Basel), 2021
Faysal A, Ngui WK, Lim MH, Leong MS.
europepmc   +1 more source

Short-Term Prediction of COVID-19 Using Novel Hybrid Ensemble Empirical Mode Decomposition and Error Trend Seasonal Model. [PDF]

Front Public Health, 2022
Khan DM, Ali M, Iqbal N, Khalil U, Aljohani HM, Alharthi AS, Afify AZ.   +6 more
europepmc   +1 more source

Multi-scale causality analysis between COVID-19 cases and mobility level using ensemble empirical mode decomposition and causal decomposition. [PDF]

Physica A, 2022
Cho JH, Kim DK, Kim EJ.
europepmc   +1 more source

A Fast Approach to Removing Muscle Artifacts for EEG with Signal Serialization Based Ensemble Empirical Mode Decomposition. [PDF]

Entropy (Basel), 2021
Dai Y, Duan F, Feng F, Sun Z, Zhang Y, Caiafa CF, Marti-Puig P, Solé-Casals J.   +7 more
europepmc   +1 more source

Islanding Detection in DC Microgrids Based on Empirical Mode Decomposition

IET Renewable Power Generation
Improved efficiency, enhanced integration with distributed generations (DGs), and the proliferation of DC loads in power systems have driven a surge in the adoption of DC microgrids (DCMGs).
Hengameh Chabok, Behrooz Zaker, Haidar Samet   +2 more
doaj   +1 more source

A novel algorithm based on ensemble empirical mode decomposition for non-invasive fetal ECG extraction. [PDF]

PLoS One, 2021
Barnova K, Martinek R, Jaros R, Kahankova R, Matonia A, Jezewski M, Czabanski R, Horoba K, Jezewski J.   +8 more
europepmc   +1 more source

Research on the Application of Variational Mode Decomposition Optimized by Snake Optimization Algorithm in Rolling Bearing Fault Diagnosis

Shock and Vibration
The rolling bearing is one of the commonly used mechanical components in rotating machinery, and its health directly affects the normal operation of equipment. However, the fault signal of rolling bearing is susceptible to noise interference, which makes
Houxin Ji, Ke Huang, Chaoquan Mo
doaj   +1 more source

COA–VMPE–WD: A Novel Dual-Denoising Method for GPS Time Series Based on Permutation Entropy Constraint

Applied Sciences
To address the challenge of effectively filtering out noise components in GPS coordinate time series, we propose a denoising method based on parameter-optimized variational mode decomposition (VMD).
Ziyu Wang, Xiaoxing He
doaj   +1 more source