Results 41 to 50 of about 4,786,449 (207)

Multiferroic‐Centric Materials and Systems Engineering for Battery Applications: An Insight Into Mechanisms, Strategies, and Characterizations

Advanced Science, EarlyView.
Multiferroic order parameters – polarization, magnetization, and ferroelastic strain – are positioned as dynamic design variables for batteries. Their mechanistic roles, practical tuning through fabrication and external fields, and ferroic‐resolved characterization routes are unified into a closed‐loop framework, revealing how coupled ferroic responses
Jiaqi Su, Yanda Zhu, Hao Peng, Manman Li, Xuzihan Zhang, Meixiao Wu, Siyuan Zhang, Yuhan Zeng, Jiwen Liao, Ming Luo, Hetaishan Huang, Yutong Wang, Sean Li, Wenxian Li   +13 more
wiley   +1 more source

Pressure fluctuation signal analysis of pump based on ensemble empirical mode decomposition method

Water Science and Engineering, 2014
Pressure fluctuations, which are inevitable in the operation of pumps, have a strong non-stationary characteristic and contain a great deal of important information representing the operation conditions.
Hong Pan, Min-sheng Bu
doaj   +1 more source

Monitoring and assessment for obstructive sleep apnea

FlexMat, EarlyView.
This review systematically classifies Obstructive Sleep Apnea (OSA) monitoring indicators into three categories: physical, biochemical, and electrophysiological indicators, and lists several methods for each category. Abstract Obstructive sleep apnea (OSA) is a common chronic sleep‐disordered breathing disease characterized by recurrent upper airway ...
Yaowen Xu, Feifei Lin, Shujiao Chen, Zhen You, Shujing Zhu, Weiwei Zhao, Qiang Zhao   +6 more
wiley   +1 more source

Codage des signaux par EMD [PDF]

, 2012
In this letter a new signals coding framework based on the Empirical Mode Decomposition (EMD) is introduced. The EMD breaks down any signal into a reduced number of oscillating components called Intrinsic Modes Decomposition (IMFs).
KHALDI, Kais, Boudraa, Abdelouahab, BOUDRAA, Abdel-Ouahab   +2 more
core   +1 more source

Weibull Variational Autoencoder for Remaining Useful Life Prediction

Quality and Reliability Engineering International, EarlyView.
ABSTRACT Remaining useful life (RUL) prediction is a critical technology for preventing unexpected failures and reducing maintenance costs in modern industrial systems. However, traditional model‐based approaches are limited by the need for explicit mathematical modeling of degradation mechanisms, while data‐driven methods often require large‐scale ...
JunWoo Yu, Yoojin Jang, Kwanghui Shin, Jinsoo Jeong, Yong Soo Kim   +4 more
wiley   +1 more source

Bifunctional Electrocatalysts in Rechargeable Lithium‐Gas Batteries: Material Evolution and Mechanistic Insights from Metal‐Free Carbons to Carbon‐Supported Single‐Atom Sites

Small, EarlyView.
This review charts the material evolution of bifunctional electrocatalysts for rechargeable lithium‐gas batteries. It highlights the journey from heteroatom‐doped, metal‐free carbon architectures to precision‐engineered carbon‐supported single‐atom sites. The discussion focuses on mechanistic insights into how these catalysts govern reversible O2, CO2,
Daming Ren, Shuimei Chen, Yuzheng Wu, Xiaodan Huang, Jong Beom Baek, Ashok Kumar Nanjundan   +5 more
wiley   +1 more source

Financial Market Prediction and Simulation Based on the FEPA Model

Journal of Mathematics, 2021
Since the birth of the financial market, the industry and academia want to find a method to accurately predict the future trend of the financial market.
Dehui Zhou
doaj   +1 more source

Noise Reduction Based on a CEEMD-WPT Crack Acoustic Emission Dataset

Applied Sciences, 2023
In order to solve the noise reduction problem of acoustic emission signals with cracks, a method combining Complementary Ensemble Empirical Mode Decomposition (CEEMD) and wavelet packet (WPT) is proposed and named CEEMD-WPT. Firstly, the single Empirical
Yongfeng Zhao, Yunrui Ma, Junli Du, Chaohua Wang, Dawei Xia, Weifeng Xin, Zhenyu Zhan, Runfeng Zhang, Jiangyi Chen   +8 more
doaj   +1 more source

Predicting EU Emissions Allowance Prices Using Macroeconomic Indicators and Hybrid AI Models

Journal of Forecasting, Volume 45, Issue 7, Page 3170-3190, November 2026.
ABSTRACT Predicting carbon allowance prices has grown more crucial in relation to carbon market regulation, financial strategy, and environmental policy development. This study examines a hybrid forecasting system that combines deep learning with ensemble machine learning models to forecast the price fluctuations of EU Emissions Allowance (EUAs) within
Saptarshi Ganguly, Pooja Sengupta, Divya Aggarwal   +2 more
wiley   +1 more source

Variance‐Empirical Mode Decomposition Method for Fault Detection in MMC‐HVDC Transmission Lines

Energy Science &Engineering, Volume 14, Issue 10, Page 4626-4640, October 2026.
A variance‐embedded empirical mode decomposition (VEMD) method is proposed for fast and accurate fault detection in MMC‐HVDC transmission lines. By combining variance analysis with EMD, the method reliably detects various faults without communication links and remains robust to noise and non‐fault transients.
Seyed Amir Hosseini, Behrooz Taheri
wiley   +1 more source