Results 11 to 20 of about 5,348,114 (153)

New achievements on daily reference evapotranspiration forecasting: Potential assessment of multivariate signal decomposition schemes [PDF]

Ecological Indicators, 2023
Reference evapotranspiration (ETo) is a vital climate parameter affecting plants' water use. ETo can generate large deficits in soil moisture and runoff in different regions and seasons, leading to uncertainties in drought warning systems.
Mumtaz Ali, Mehdi Jamei, Ramendra Prasad, Masoud Karbasi, Yong Xiang, Borui Cai, Shahab Abdulla, Aitazaz Ahsan Farooque, Abdulhaleem H. Labban   +8 more
doaj   +2 more sources

Analysis of EEG via Multivariate Empirical Mode Decomposition for Depth of Anesthesia Based on Sample Entropy

Entropy, 2013
In monitoring the depth of anesthesia (DOA), the electroencephalography (EEG) signals of patients have been utilized during surgeries to diagnose their level of consciousness.
Jiann-Shing Shieh, Maysam F. Abbod, Tzu-Yu Lin, Cheng-Wei Lu, Shou-Zhen Fan, Qin Wei, Quan Liu   +6 more
doaj   +2 more sources

Aplikasi Filter Multivariate Empirical Mode Decomposition (MEMD) Untuk Mereduksi Noise Pada Data VLF-EM [PDF]

Jurnal Teknik ITS, 2017
Alat VLF-EM menangkap gelombang elektromagnetik dari medium-medium disekitarnya. Sehingga, alat VLF-EM ini sangat sensitif terhadap benda-benda yang memiliki komponen listrik dan magnet yang besar.
Muhammad Shafran Shofyan
doaj   +3 more sources

Early Fault Detection Method for Rotating Machinery Based on Harmonic-Assisted Multivariate Empirical Mode Decomposition and Transfer Entropy

Entropy, 2018
It is a difficult task to analyze the coupling characteristics of rotating machinery fault signals under the influence of complex and nonlinear interference signals.
Zhe Wu, Qiang Zhang, Lixin Wang, Lifeng Cheng, Jingbo Zhou   +4 more
doaj   +2 more sources

Adaptive noise suppression for low-S/N microseismic data based on ambient-noise-assisted multivariate empirical mode decomposition [PDF]

Frontiers in Physics, 2023
Microseismic monitoring data may be seriously contaminated by complex and nonstationary interference noises produced by mechanical vibration, which significantly impact the data quality and subsequent data-processing procedure.
Zhichao Yu, Zhichao Yu, Yingkun Huang, Zisen Fang, Yuyang Tan, Chuan He   +5 more
doaj   +2 more sources

Deep LSTM Surrogates for MEMD: A Noise-Assisted Approach to EEG Intrinsic Mode Function Extraction

Information
In this paper, we propose a deep learning-based surrogate model for Multivariate Empirical Mode Decomposition (MEMD) using Long Short-Term Memory (LSTM) networks, aimed at efficiently extracting Intrinsic Mode Functions (IMFs) from ...
Pablo Andres Muñoz-Gutierrez, Diego Fernando Ramirez-Jimenez, Eduardo Giraldo   +2 more
doaj   +2 more sources

Measuring Center of Pressure Signals to Quantify Human Balance Using Multivariate Multiscale Entropy by Designing a Force Platform [PDF]

Sensors, 2013
To assess the improvement of human body balance, a low cost and portable measuring device of center of pressure (COP), known as center of pressure and complexity monitoring system (CPCMS), has been developed for data logging and analysis.
Cheng-Wei Huang, Pei-Der Sue, Maysam F. Abbod, Bernard C. Jiang, Jiann-Shing Shieh   +4 more
doaj   +2 more sources

Scale dependent prediction of reference evapotranspiration based on Multi-Variate Empirical mode decomposition

Ain Shams Engineering Journal, 2018
This study proposes a novel method for estimation of reference evapotranspiration (ETo) by accounting the time scale of variability using the Multivariate Empirical Mode Decomposition (MEMD).
S. Adarsh, Sulaiman Sanah, K.K. Murshida, P. Nooramol   +3 more
doaj   +2 more sources

Multi-Fault Diagnosis of Rolling Bearings via Adaptive Projection Intrinsically Transformed Multivariate Empirical Mode Decomposition and High Order Singular Value Decomposition

Sensors, 2018
Rolling bearings are important components in rotary machinery systems. In the field of multi-fault diagnosis of rolling bearings, the vibration signal collected from single channels tends to miss some fault characteristic information.
Rui Yuan, Yong Lv, Gangbing Song
doaj   +2 more sources

Disentangling slope‐scale spatial variability of saturated hydraulic conductivity in the black soil region of northeast China using noise‐assisted multivariate empirical mode decomposition

Vadose Zone Journal
Reliable estimates of saturated hydraulic conductivity (Ks) are usually difficult to obtain, as Ks is regulated by a variety of soil processes acting at different spatial scales that may obscure each other's impacts.
Yang Yang, Tingting Peng, Hui Zhang, Ole Wendroth, Zixin Jin, Xinyi Chen, Yingna Liu   +6 more
doaj   +2 more sources