Results 1 to 10 of about 338,586 (250)

Empirical mode decomposition-based face recognition system [PDF]

, 2013
In this work we explore the multivariate empirical mode decomposition combined with a Neural Network classifier as technique for face recognition tasks. Images are simultaneously decomposed by means of EMD and then the distance between the modes of the
Gallego Jutglà, Esteve, Lopez-de-Ipiña, Karmele, Solé-Casals, Jordi   +2 more
core   +2 more sources

An Investigation Study on Mode Mixing Separation in Empirical Mode Decomposition

IEEE Access, 2019
Mode mixing is a limitation of the empirical mode decomposition (EMD) method appropriate for physiological signal analysis. In 2008, boundary condition map presented by Rilling and Flandrin provided the efficiency of separating the two components of a ...
Han-Ping Huang, Sung-Yang Wei, Hsuan-Hao Chao, Chang Francis Hsu, Long Hsu, Sien Chi   +5 more
doaj   +2 more sources

An Empirical Mode Decomposition Fuzzy Forecast Model for Air Quality. [PDF]

Entropy (Basel), 2022
Jiang W, Zhu G, Shen Y, Xie Q, Ji M, Yu Y.   +5 more
europepmc   +3 more sources

Improving the prediction accuracy of river inflow using two data pre-processing techniques coupled with data-driven model [PDF]

PeerJ, 2019
River inflow prediction plays an important role in water resources management and power-generating systems. But the noises and multi-scale nature of river inflow data adds an extra layer of complexity towards accurate predictive model.
Hafiza Mamona Nazir, Ijaz Hussain, Muhammad Faisal, Elsayed Elsherbini Elashkar, Alaa Mohamd Shoukry   +4 more
doaj   +2 more sources

Electrocardiogram Analysis by Means of Empirical Mode Decomposition-Based Methods and Convolutional Neural Networks for Sudden Cardiac Death Detection

Applied Sciences, 2023
Sudden cardiac death (SCD) is a global health problem, which represents 15–20% of global deaths. This type of death can be due to different heart conditions, where ventricular fibrillation has been reported as the main one.
Manuel A. Centeno-Bautista, Angel H. Rangel-Rodriguez, Andrea V. Perez-Sanchez, Juan P. Amezquita-Sanchez, David Granados-Lieberman, Martin Valtierra-Rodriguez   +5 more
doaj   +1 more source

Development of novel hybrid models for the prediction of Covid-19 in Kuwait

Kuwait Journal of Science, 2021
The first case of coronavirus 2019 (Covid-19) in Kuwait was reported on February 24, 2020, and then day by day cases of Covid-19 keep on increasing.
Ahmad Aldousari, Maria Qurban, Ijaz Hussain, Maha Al-Hajeri   +3 more
doaj   +1 more source

Application of the Empirical Mode Decomposition Method to Noise Reduction Using Seismic Event Data Recorded at Kirkuk Seismological Station.

Iraqi Geological Journal, 2023
This study aims to use the Empirical Mode Decomposition for reducing the noise of passive seismic signals recorded across seismic event recorded at Kirkuk station which is one of the Iraqi Meteorological Organization and Seismology data, where ...
Zainab Mahmmoud, Ali Al-Rahim
doaj   +1 more source

An Improved Empirical Mode Decomposition of Electroencephalogram Signals for Depression Detection

IEEE Transactions on Affective Computing, 2022
Depression is a mental disorder characterized by persistent low mood that affects a person’s thoughts, behavior, feelings, and sense of well-being. According to the World Health Organization (WHO), depression will become the second major life-threatening
Jian Shen, Xiaowei Zhang, Gang Wang, Zhijie Ding, Bin Hu   +4 more
semanticscholar   +1 more source

An effective electrocardiogram segments denoising method combined with ensemble empirical mode decomposition, empirical mode decomposition, and wavelet packet

IET Signal Processing, 2023
Electrocardiogram (ECG) is the most extensively applied diagnostic approach for heart diseases. However, an ECG signal is a weak bioelectrical signal and is easily disturbed by baseline wander, powerline interference, and muscle artefacts, which make ...
Yaru Yue, Chengdong Chen, Xiaoyuan Wu, Xiaoguang Zhou   +3 more
doaj   +1 more source

Application of Empirical Mode Decomposition and Extreme Learning Machine Algorithms on Prediction of the Surface Vibration Signal

Energies, 2021
Accurately predicting surface vibration signals of diesel engines is the key to evaluating the operation quality of diesel engines. Based on an improved empirical mode decomposition and extreme learning machine algorithm, the characteristics of diesel ...
Yan Shen, Ping Wang, Xuesong Wang, Ke Sun   +3 more
doaj   +1 more source