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Robust Fault Diagnosis of Rolling Bearings Using Multivariate Intrinsic Multiscale Entropy Analysis and Neural Network Under Varying Operating Conditions

IEEE Access, 2019
olling bearings are crucial components in mechanical, civil and aerospace engineering. The practical working conditions of rolling bearings are complex and tough, hence fault diagnosis of rolling bearings under varying operating conditions is very ...
Rui Yuan, Yong Lv, Hewenxuan Li, Gangbing Song +3 more
doaj +1 more source

Global anaesthesia practice using inguinal hernia surgery as a tracer condition: a secondary analysis of an international prospective cohort study

Anaesthesia, Volume 80, Issue 11, Page 1343-1351, November 2025.
Summary Introduction Restoration of surgical capacity is essential to post‐COVID‐19 recovery. This study explored the use and safety of anaesthesia options for inguinal hernia surgery, a common tracer condition, to describe current global practice and highlight opportunities to build the capacity of health systems.
NIHR Global Health Research Group on Environmentally Sustainable Hospitals in Low‐ and Middle‐income Countries +5007 more
wiley +1 more source

FPGA based design for online computation of Multivariate EMD (MEMD)

, 2020
Multivariate or multichannel data have become ubiquitous in many modern scientific and engineering applications, e.g., biomedical engineering, owing to recent advances in sensor and computing technology. Processing these data sets is challenging owing to: i) their large size and multidimensional nature, thus requiring specialized algorithms and ...
Gul, Sikender +2 more
openaire +2 more sources

Emotional recognition while watching emotional videos: Based on electroencephalography signal analysis and machine learning models

Ibrain, Volume 11, Issue 3, Page 347-363, Fall 2025.
Overview of the EEG‐based emotion classification framework. The process starts with EEG signal recording while subjects watch five emotional videos. The raw EEG data undergoes preprocessing, including noise and artifact removal, followed by segmentation, feature extraction, and selection.
Afshin S. Asl, Sahar Karimpour
wiley +1 more source

Maternal haploid induction in maize via mutation of Gamete Expression protein 1

Plant Biotechnology Journal, Volume 23, Issue 7, Page 2595-2607, July 2025.
Summary Doubled haploid (DH) technology, based on haploid induction (HI), is a crucial tool in enhancing crop‐breeding efficiency and has been successfully applied in various plant species. While many HI‐related genes have been identified using diverse strategies, the genetic basis and molecular mechanisms underlying HI remain incompletely understood ...
Yuhui Sun +5 more
wiley +1 more source

Aplikasi Filter Emd Dan Na-Memd Untuk Pengolahan Data Vlf Di Daerah Karst Pacitan (Studi Kasus Identifikasi Kepenerusan Sungai Bawah Permukaan).

, 2022
Kondisi geologi di wilayah penelitian (Pacitan) termasuk dalam morfologi karst. Morfologi karst pada daerah Pacitan memiliki struktur geologi yang kompleks dikarenakan berada pada daerah tropis yang membuat proses karstifikasi semakin cepat sehingga ...
Fida, Fachri Almawali Abil
core

Application of Wavelet Transformation and Artificial Intelligence Techniques in Healthcare: A Systemic Review

WIREs Data Mining and Knowledge Discovery, Volume 15, Issue 2, June 2025.
ABSTRACT The integration of wavelet transformation and artificial intelligence techniques has demonstrated significant potential in healthcare applications. Wavelet analysis enables multi‐scale signal decomposition and feature extraction that, when combined with machine and deep learning approaches, enhance the accuracy and efficiency of medical data ...
Samiul Based Shuvo +8 more
wiley +1 more source

MEMD decomposition of composite time series consisting of the original 3-channel synthetic data [X Y Z] and noise reference channels.

, 2014
For the purpose of clarity, only one noise channel is shown. All the sine waves with distinct frequencies (red) are correctly obtained via MEMD. At the same time, the IMFs obtained from the added noise channel provide the reference for statistical ...
Meng Hu (89823), Hualou Liang (578714)
core +1 more source

Fu-Zhang/NA-MEMD-based-causal-decomposition-analysis: EEG (C3) - EMG (biceps) time series raw data for elbow extension and flexion movements

, 2020
No description ...
Fu-Zhang
core +1 more source

Cause‐and‐Effect Relationships Between Sea Surface Temperature Changes in Different Regions During the Past 4.5 Million Years

Paleoceanography and Paleoclimatology, Volume 40, Issue 6, June 2025.
Abstract Understanding long‐term cause‐and‐effect relationships between changes at different locations and temporal scales is crucial for unraveling the key mechanisms that drive climate dynamics and their impacts on ecosystems and society. Here, we focus on deconvolving different modes of Sea Surface Temperature (SST) variability and the coupling ...
T. Alberti, M. Stumpo, F. Florindo, E. J. Rohling +3 more
wiley +1 more source

multivariate empirical mode decomposition
multivariate empirical mode decomposition memd
electroencephalography

fault diagnosis
3. good health
environmental sciences

rolling bearings
empirical mode decomposition
gear