These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
194 related articles for article (PubMed ID: 19256676)
21. Theory and Application of Magnetic Flux Leakage Pipeline Detection. Shi Y; Zhang C; Li R; Cai M; Jia G Sensors (Basel); 2015 Dec; 15(12):31036-55. PubMed ID: 26690435 [TBL] [Abstract][Full Text] [Related]
22. Fault diagnosis of rotating machinery based on an adaptive ensemble empirical mode decomposition. Lei Y; Li N; Lin J; Wang S Sensors (Basel); 2013 Dec; 13(12):16950-64. PubMed ID: 24351666 [TBL] [Abstract][Full Text] [Related]
23. EEMD independent extraction for mixing features of rotating machinery reconstructed in phase space. Ma Z; Wen G; Jiang C Sensors (Basel); 2015 Apr; 15(4):8550-69. PubMed ID: 25871723 [TBL] [Abstract][Full Text] [Related]
24. A Novel Hybrid Approach for Partial Discharge Signal Detection Based on Complete Ensemble Empirical Mode Decomposition with Adaptive Noise and Approximate Entropy. Shang H; Li Y; Xu J; Qi B; Yin J Entropy (Basel); 2020 Sep; 22(9):. PubMed ID: 33286808 [TBL] [Abstract][Full Text] [Related]
26. Fault Diagnosis for Analog Circuits by Using EEMD, Relative Entropy, and ELM. Xiong J; Tian S; Yang C Comput Intell Neurosci; 2016; 2016():7657054. PubMed ID: 27698663 [TBL] [Abstract][Full Text] [Related]
27. DEEMD-SPP: A Novel Framework for Emotion Recognition Based on EEG Signals. Chen J; Li H; Ma L; Soong F Front Psychiatry; 2022; 13():885120. PubMed ID: 35573327 [TBL] [Abstract][Full Text] [Related]
28. Quantitative diagnosis for bearing faults by improving ensemble empirical mode decomposition. Hoseinzadeh MS; Khadem SE; Sadooghi MS ISA Trans; 2018 Dec; 83():261-275. PubMed ID: 30268438 [TBL] [Abstract][Full Text] [Related]
29. A Bayesian approach based on Kalman filter frameworks for bullet identification. Hesar HD; Bigdeli S; Moghaddam ME Sci Justice; 2019 Jul; 59(4):390-404. PubMed ID: 31256810 [TBL] [Abstract][Full Text] [Related]
30. Denoising traffic collision data using ensemble empirical mode decomposition (EEMD) and its application for constructing continuous risk profile (CRP). Kim NS; Chung K; Ahn S; Yu JW; Choi K Accid Anal Prev; 2014 Oct; 71():29-37. PubMed ID: 24880928 [TBL] [Abstract][Full Text] [Related]
31. [Time-frequency Research of Pulse Rate Variability Based on the EEMD]. Zhang G; Shi B; Zhang S; Tsau Y Zhongguo Yi Liao Qi Xie Za Zhi; 2017 Jul; 41(4):251-254. PubMed ID: 29862782 [TBL] [Abstract][Full Text] [Related]
32. Research on Ship-Radiated Noise Denoising Using Secondary Variational Mode Decomposition and Correlation Coefficient. Li Y; Li Y; Chen X; Yu J Sensors (Basel); 2017 Dec; 18(1):. PubMed ID: 29278380 [TBL] [Abstract][Full Text] [Related]
33. Stress wave signal denoising using ensemble empirical mode decomposition and an instantaneous half period model. Fang YM; Feng HL; Li J; Li GH Sensors (Basel); 2011; 11(8):7554-67. PubMed ID: 22164032 [TBL] [Abstract][Full Text] [Related]
34. Faults Diagnostics of Railway Axle Bearings Based on IMF's Confidence Index Algorithm for Ensemble EMD. Yi C; Lin J; Zhang W; Ding J Sensors (Basel); 2015 May; 15(5):10991-1011. PubMed ID: 25970256 [TBL] [Abstract][Full Text] [Related]
35. Estimating Heart Rate and Respiratory Rate from a Single Lead Electrocardiogram Using Ensemble Empirical Mode Decomposition and Spectral Data Fusion. Chung IQ; Yu JT; Hu WC Sensors (Basel); 2021 Feb; 21(4):. PubMed ID: 33567575 [TBL] [Abstract][Full Text] [Related]
36. SU-E-J-143: Characteristics of Tumor-Motion Surrogate Signals Analyzed Using Empirical Mode Decomposition and Hilbert-Huang Transformation. Han-Oh S Med Phys; 2012 Jun; 39(6Part8):3685. PubMed ID: 28518947 [TBL] [Abstract][Full Text] [Related]
37. Literature Review: Theory and Application of In-Line Inspection Technologies for Oil and Gas Pipeline Girth Weld Defection. Feng Q; Li R; Nie B; Liu S; Zhao L; Zhang H Sensors (Basel); 2016 Dec; 17(1):. PubMed ID: 28036016 [TBL] [Abstract][Full Text] [Related]
38. Muscle Fatigue Analysis With Optimized Complementary Ensemble Empirical Mode Decomposition and Multi-Scale Envelope Spectral Entropy. Zhao J; She J; Fukushima EF; Wang D; Wu M; Pan K Front Neurorobot; 2020; 14():566172. PubMed ID: 33250732 [TBL] [Abstract][Full Text] [Related]
39. Reconstruction of missing spring discharge by using deep learning models with ensemble empirical mode decomposition of precipitation. Zhou R; Zhang Y Environ Sci Pollut Res Int; 2022 Nov; 29(54):82451-82466. PubMed ID: 35751724 [TBL] [Abstract][Full Text] [Related]
40. Analysis of cardiovascular function in diabetic patients using EEMD-ICA fusion multi-scale percussion entropy. Li MM; Pan JX; Wang JH; Hu ZL; Zhao J; Wei HC Technol Health Care; 2024; 32(2):809-821. PubMed ID: 37458054 [TBL] [Abstract][Full Text] [Related] [Previous] [Next] [New Search]