Results 81 to 90 of about 2,665,090 (225)

Parallel Machine Learning Algorithm Using Fine-Grained-Mode Spark on a Mesos Big Data Cloud Computing Software Framework for Mobile Robotic Intelligent Fault Recognition

IEEE Access, 2020
An accurate and efficient intelligent fault diagnosis of mobile robotic roller bearings can significantly enhance the reliability and safety of mechanical systems.
Guangming Xian
doaj   +1 more source

High Precision Prediction Model of Wind Speed for Underground Mine Tunnel by Using ASTF Net

Energy Science &Engineering, EarlyView.
This paper proposes an Adaptive Spectral‐Temporal Fusion Net (ASTF‐Net), which features a novel decomposition‐ensemble framework with adaptive feature fusion. This design deliberately balances spectral and temporal features and effectively boosts prediction accuracy in complex ventilation environments. ABSTRACT An Adaptive Spectral‐Temporal Fusion Net (
Ruo‐Qi Li, Yong‐Qiang Chai, Lian Shi, Fu‐Gang Wang, Mi Liu   +4 more
wiley   +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

An Adaptive Cubature Kalman Filter Based on Resampling-Free Sigma-Point Update Framework and Improved Empirical Mode Decomposition for INS/CNS Navigation

Mathematics
For the degradation of the filtering performance of the INS/CNS navigation system under measurement noise uncertainty, an adaptive cubature Kalman filter (CKF) is proposed based on improved empirical mode decomposition (EMD) and a resampling-free sigma ...
Yu Ma, Di Liu
doaj   +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

Parametric comparison of EMDS algorithm with some symmetric cryptosystems

Egyptian Informatics Journal, 2017
AbstractOver the last decades owing to the incredible boost in the electronics industry and wireless technology, there has been an extraordinary outburst in the extent of digital data transmitted via the internet by means of handheld chic devices. The hefty amount of transmitted data requires data to be safe and sound in addition to transmission speed ...
Mani Arora, Sandeep Sharma, Derick Engles   +2 more
openaire   +2 more sources

Does Visual Working Memory Decline Explain Age Differences in Visualization Performance?

Computer Graphics Forum, EarlyView.
Abstract Visualization studies that examine age effects on task performance often attribute the performance gap between young adults (YA) and people in late adulthood (PLA) to declines in cognitive abilities, especially reduced visual working memory (VWM) capacity.
Y. Li, S. Shao, P. Baudains, A. I. Meso, A. Abdul‐Rahman, R. Borgo   +5 more
wiley   +1 more source

Selection of an Optimal Feature Space for Separating Mental Tasks based on the EMD Algorithm

مجله دانشکده پزشکی اصفهان, 2012
Background: Designing brain-computer interface (BCI) systems is one of the concerns of people today. These systems operate by brain signals and so far, much research has been done in this regard.
Vahid Abootalebi, Mohmmad Taghi Sadeghi, Somayeh Noshadi   +2 more
doaj  

Advances in 4D Representation: Geometry, Motion, and Interaction

Computer Graphics Forum, EarlyView.
We survey 4D representation through three key pillars — geometry, motion, and interaction — offering a selective, representation‐centric perspective to guide researchers in choosing and customizing the right 4D representation for their tasks. Abstract We present a survey on 4D generation and reconstruction, a fast‐evolving subfield of computer graphics
M. Zhao, S. Nag, K. Wang, A. Vora, G. Ji, P. Chun, A. Mahdavi‐Amiri, H. Zhang   +7 more
wiley   +1 more source

Multivariate empirical mode decomposition and application to multichannel filtering

, 2011
International audienceEmpirical Mode Decomposition (EMD) is an emerging topic in signal processing research, applied in various practical fields due in particular to its data-driven filter bank properties. In this paper, a novel EMD approach called X-EMD
Jean-Claude Nunes, Laurent Albera, Albera, Laurent, Senhadji, Lotfi, Kachenoura, Amar, Fleureau, Julien, Nunes, Jean-Claude, Amar Kachenoura, Julien Fleureau, Lotfi Senhadji   +9 more
core   +1 more source