Results 81 to 90 of about 5,122,568 (192)

Using empirical mode decomposition to correlate paleoclimatic time-series [PDF]

Natural Hazards and Earth System Sciences, 2007
Determination of the timing and duration of paleoclimatic events is a challenging task. Classical techniques for time-series analysis rely too strongly on having a constant sampling rate, which poorly adapts to the uneven time recording of paleoclimatic ...
J. Solé, A. Turiel, J. E. Llebot
doaj  

Three Dimensional Reconstruction Based on Improved Empirical Mode Decomposition

四川大学学报. 自然科学版, 2018
Aiming at the problem of the edge error caused by the traditional empirical mode decomposition method, an improved empirical mode decomposition method is proposed for eliminating the decomposition error in the edge zones of the signals in this paper, in ...
LI Xu-Qin, CHEN Wen-Jing, SU Xian-Yu
doaj  

Enhanced hybrid CEEMDAN-GMDH regression model for forewarning sucking pests in cotton crops of Coimbatore, Tamil Nadu

Journal of Agrometeorology
Effective pest management relies on early and accurate forecasting, yet current models struggle to capture regional specific complex relationship between weather conditions and pest incidence.
N. NARANAMMAL, S. R. KRISHNA PRIYA, NAVEENA. K.   +2 more
doaj   +1 more source

Hybrid Approach of an Empirical Mode Decomposition and Wavelet Support Vector Machine for Forecasting Singapore Tourist Arrivals to Malaysia

, 2018
Time series modelling and forecasting has fundamental importance to various practical domains. Thus, a lot of active research works is going on in this subject during several years. Many important models have been proposed in literature for improving the
A. Shabri, A. Rafidah, (UniKL MITEC)
core  

Advanced reference crop evapotranspiration prediction: a novel framework combining neural nets, bee optimization algorithm, and mode decomposition

Applied Water Science
Various critical applications, spanning from watershed management to agricultural planning and ecological sustainability, hinge upon the accurate prediction of reference evapotranspiration (ETo).
Ahmed Elbeltagi, Okan Mert Katipoğlu, Veysi Kartal, Ali Danandeh Mehr, Sabri Berhail, Elsayed Ahmed Elsadek   +5 more
doaj   +1 more source

Ensemble empirical mode decomposition for high frequency ECG noise reduction

, 2012
[[abstract]]An electrocardiogram (ECG) is measured from the body surface and is often corrupted by various noises, such as high-frequency muscle contraction.
張剛鳴;Chang, Kang-Ming
core  

Development of Empirical Mode Decomposition

International Journal of Smart Sensor and Adhoc Network., 2012
In this paper, one of the tasks for which empirical mode decomposition is potentially useful is nonparametric signal denoising, an area for which wavelet thresholding has been the dominant technique for many years. In this paper, the wavelet thresholding principle is used in the decomposition modes resulting from applying EMD to a signal.
openaire   +1 more source

A hybrid model for tuberculosis forecasting based on empirical mode decomposition in China. [PDF]

BMC Infect Dis, 2023
Zhao R, Liu J, Zhao Z, Zhai M, Ren H, Wang X, Li Y, Cui Y, Qiao Y, Ren J, Chen L, Qiu L.   +11 more
europepmc   +1 more source

Bird Call Identification Using Ensemble Empirical Mode Decomposition

Shock and Vibration
Birds are iconic species of the environment. Bird monitoring can be achieved by collecting recordings of the calls of wild birds and later identifying the species. A new approach suggested in this study involves the application of ensemble empirical mode
Jingxuan Liu, Hailan Chen
doaj   +1 more source

Analysis the Spike Wave of Double Channel MGG Signal based on Empirical Mode Decomposition

, 2014
The empirical mode decomposition (EMD) has been introduced quite recently to adaptively decompose non-stationary and/or nonlinear time series. Spike wave of the MGG signal is very important and standard diagnose method for medical and clinical research ...
Miao L(缪磊), Xu BL(徐保磊)
core