Results 121 to 130 of about 6,622 (258)

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 progress and current status of dynamic wave propagation characteristics in rock mass: A review

Deep Underground Science and Engineering, EarlyView.
This review elucidates the velocity–dispersion–attenuation coupling mechanisms of wave propagation in rock masses, compares six representative models, and reveals how pressure, temperature, mineral composition, and anisotropy jointly control dynamic responses in complex geological media.
Jiajun Shu, Tao Li, Ruiqi Yuan, Yue Li, Bingni Wu, Bo Liu, Zhengding Deng, Galindo Rubén, Fausto Molina‐Gómez   +8 more
wiley   +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

Application of multi-layer denoising based on ensemble empirical mode decomposition in extraction of fault feature of rotating machinery. [PDF]

PLoS One, 2021
Gao K, Xu X, Li J, Jiao S, Shi N.
europepmc   +1 more source

Probabilistic prediction of rate‐dependent rock strength using natural gradient boosting and Gaussian process regression

Deep Underground Science and Engineering, EarlyView.
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

Estimating the COVID-19 prevalence and mortality using a novel data-driven hybrid model based on ensemble empirical mode decomposition. [PDF]

Sci Rep, 2021
Wang Y, Xu C, Yao S, Wang L, Zhao Y, Ren J, Li Y.   +6 more
europepmc   +1 more source

Heterogeneous Single/Dual‐Atom Electrocatalysts in Lithium–Sulfur Batteries

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
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, Ying Xin, Zhaoliang Zhang, Jin Wang   +3 more
wiley   +1 more source

基于迭代的集总经验模式分解算法的齿轮箱故障特征提取

Jixie chuandong, 2011
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  

A Novel Method Based on Combination of Independent Component Analysis and Ensemble Empirical Mode Decomposition for Removing Electrooculogram Artifacts From Multichannel Electroencephalogram Signals. [PDF]

Front Neurosci, 2021
Teng CL, Zhang YY, Wang W, Luo YY, Wang G, Xu J.   +5 more
europepmc   +1 more source

Dynamic improved complete ensemble empirical mode decomposition

, 2020
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