Estimating the COVID-19 prevalence and mortality using a novel data-driven hybrid model based on ensemble empirical mode decomposition. [PDF]
Wang Y +6 more
europepmc +1 more source
Gaussian noise filtering from ECG by Wiener filter and ensemble empirical mode decomposition
[[abstract]]Empirical mode decomposition (EMD) is a powerful algorithm that decomposes signals as a set of intrinsic mode function (IMF) based on the signal complexity.
Kang-Ming Chang; Keng-Ming Chang; Shing-Hong Liu
core
Probabilistic natural gradient boosting and Gaussian process regression models accurately predict rate‐dependent rock strength across lithologies. Static strength and strain rate dominate, while geometric factors have minimal influence, enabling interpretable and uncertainty‐aware predictions for dynamic geomechanical applications. Abstract The dynamic
Hadi Fathipour‐Azar
wiley +1 more source
A Novel Method Based on Combination of Independent Component Analysis and Ensemble Empirical Mode Decomposition for Removing Electrooculogram Artifacts From Multichannel Electroencephalogram Signals. [PDF]
Teng CL +5 more
europepmc +1 more source
Dynamic improved complete ensemble empirical mode decomposition
Görgül Kip Ayrışımı ((EMD) ̇) doğrusal olmayan sistemlerden kaynaklanan durağan olmayan işaretleri analiz etmek için kullanılan adaptif (veri-beslemeli) bir zaman/frekans metodudur. (EMD) ̇'nin en önemli problemi orjinal sinyal analiz edilirken elde edilen `mod-karıştırması` denilen fenomendir.
openaire +1 more source
To address seepage‐induced tunnel face collapse, this study develops a two‐phase double‐point MPM framework to capture large‐deformation hydro‐mechanical interactions. Incorporating a cementation‐based constitutive model with dynamic permeability updates, the model is successfully validated against saturated granular‐column collapse experiments ...
Yue Tong +6 more
wiley +1 more source
Aimed at the drawback of blindly adding white noise occurring in the ensemble empirical mode decomposition(EEMD) when used to solver realistic problems,the iterative ensemble empirical mode decomposition(IEEMD) method is proposed.To begin with,the IEEMD ...
姜军生, 林近山
doaj
Handling Data Heterogeneity in Electricity Load Disaggregation via Optimized Complete Ensemble Empirical Mode Decomposition and Wavelet Packet Transform. [PDF]
Chui KT, Gupta BB, Liu RW, Vasant P.
europepmc +1 more source
Heterogeneous Single/Dual‐Atom Electrocatalysts in Lithium–Sulfur Batteries
This review summarizes recent advances in single‐atom and dual‐atom electrocatalysts for high‐performance lithium–sulfur batteries. The text systematically covers the classification of catalysts by active metal centers, key synthesis methods, in situ characterization for mechanistic insights, and electrocatalytic mechanisms.
Wenbin Li +3 more
wiley +1 more source
Forecasting the Tuberculosis Incidence Using a Novel Ensemble Empirical Mode Decomposition-Based Data-Driven Hybrid Model in Tibet, China. [PDF]
Li J +7 more
europepmc +1 more source

