Empirical mode decomposition using deep learning model for financial market forecasting. [PDF]
Jin Z, Jin Y, Chen Z.
europepmc +1 more source
A phosphorescent dye was designed to fit in a hand‐to‐glove fashion into the 1D‐pore channels of MIL‐68(In). We synthesized MIL‐68(In) as powder and thin films, loaded the dye into the pores with controlled packing, and found that the phosphorescence and quantum yield are enhanced.
Bahram Hosseini Monjezi +12 more
wiley +1 more source
Estimation of Tissue Permeability in MRI Images by Empirical Mode Decomposition Method. [PDF]
Yahaghi E.
europepmc +1 more source
An Adaptive ECG Noise Removal Process Based on Empirical Mode Decomposition (EMD). [PDF]
Hussein AF +3 more
europepmc +1 more source
The sodium hydride (NaH)‐mediated reduction of germanium dioxide yields distinct Ge structures depending on the amount of reductant, revealing the dual roles of NaH in the reduction pathways. The synthesized Ge under off‐stoichiometric conditions exhibits a porous morphology and reduced crystallinity, which effectively mitigates volume expansion during
Gijung Lee +12 more
wiley +1 more source
Research on information leakage in time series prediction based on empirical mode decomposition. [PDF]
Yang X, Li J, Jiang X.
europepmc +1 more source
Early Fault Detection of Rolling Bearings Based on Time-Varying Filtering Empirical Mode Decomposition and Adaptive Multipoint Optimal Minimum Entropy Deconvolution Adjusted. [PDF]
Song S, Wang W.
europepmc +1 more source
Electrides offer unique opportunities as catalyst supports for hydrogen evolution reactions. This study presents an electride‐supported Ru/Nd2ScSi2 catalyst exhibiting outstanding hydrogen evolution reaction performance and excellent stability. Anionic Ru species on the electride surface facilitate water dissociation and optimize hydrogen adsorption ...
Zhiqi Wang +5 more
wiley +1 more source
Parallel convolutional neural network and empirical mode decomposition for high accuracy in motor imagery EEG signal classification. [PDF]
D J, K C S.
europepmc +1 more source
A Hybrid Model for Coronavirus Disease 2019 Forecasting Based on Ensemble Empirical Mode Decomposition and Deep Learning. [PDF]
Liu S +5 more
europepmc +1 more source

