Results 101 to 110 of about 5,816 (193)

Denoising of CT and MRI Images Using Decomposition-Based Curvelet Thresholding and Classical Filtering Techniques

Applied Sciences
Medical image denoising is crucial for enhancing the diagnostic accuracy of CT and MRI images. This paper presents a modular hybrid framework that combines multiscale decomposition techniques (Empirical Mode Decomposition, Variational Mode Decomposition,
Mahmoud Nasr, Krzysztof Brzostowski, Rafał Obuchowicz, Adam Piórkowski   +3 more
doaj   +1 more source

Enhancing gear pitting fault classification accuracy through improved multiscale permutation entropy-driven thresholding and NA-MEMD

This work presents a statistically validated and data-driven framework for early fault diagnosis of multistage industrial gearboxes, with particular emphasis on pitting defect detection using multidimensional vibration measurements acquired under varying
Rajiv Nandan Rai, Manish Pandit, Sanjay Kumar Chaturvedi   +2 more
core   +1 more source

Gear fault diagnosis via demodulation analysis based on NA-MEMD

Journal of Physics: Conference Series
Abstract To address the non-stationary characteristics of gear vibration signals under fault conditions, a noise-assisted multivariate empirical mode decomposition (NA-MEMD) approach is employed for gear fault detection. This study presents a fault diagnosis methodology combining NA-MEMD with envelope demodulation analysis.
Xueli An, Luoping Pan, Wanping Li, Weihuan Xiao   +3 more
openaire   +1 more source

EEG-Based Detection of Induced Relaxation

IEEE Access
Relaxation, which refers to the absence of tension and stress, is important for health because extended periods of tension may lead to illness. This study detected induced relaxation through electroencephalography (EEG) for the real-time monitoring of ...
Bunyarat Umsura, Wanus Srimaharaj, Phakkharawat Sittiprapaporn, Nina Bencheva, Ratchuporn Suksathan, Roungsan Chaisricharoen   +5 more
doaj   +1 more source

Online Multivariate Empirical Mode Decomposition with FFT-Based Mode Split Resolution [PDF]

Multivariate Empirical Mode Decomposition (MEMD) har vist seg effektiv i tidsfrekvensanalyse for ikke-stasjonære ikke-lineære signaler. MEMD må behandle hele dataspennet for å generere signalets Intrinsic Mode Functions (IMF), noe som gjør den uegnet for
Lier, Joar Olai Lier
core  

Kebijakan Ekonomi dan Perspektif Lingkungan [PDF]

, 2019
The process of development and economic growth carried out by many countries in various parts of the world is carried out to improve the standard of living of the people in each country. Every country wants to improve the quality of life through economic
Muryani, -
core   +1 more source

A Study of the Characteristics of MEMD for Fractional Gaussian Noise

IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, 2016
Huan Hao, Huali Wang, Naveed ur Rehman, Hui Tian 0004   +3 more
openaire   +1 more source

Distribution Network Fault Diagnosis with Noise-Assisted Multivariate Empirical Mode Decomposition and a Modified Multiple Branch Convolutional Neural Network

Energies
A novel method based on noise-assisted multivariate empirical mode decomposition (NA-MEMD) combined with a modified multiple branch convolutional neural network (MMBCNN) is designed to detect fault events in distribution networks and to classify various ...
Fei Xiao, Xiaoya Shang, Qinxue Li, Yiyi Zhan, Rui Li, Qian Ai, Yi Zhang   +6 more
doaj   +1 more source

Hybrid configuration of membrane distillation: Vacuum multi-effect membrane distillation

, 2020
Vacuum membrane distillation (VMD) has been gaining attention as a cost-competitive membrane separation technology due to its advantages, which include low conductive heat loss and reduced mass transfer resistance.
An, Alicia Kyoungjin, Farid, Muhammad Usman, Gao, Yonggang, von Eiff, David, Kharraz, Jehad A., Shi, Zhiwei   +5 more
core  

multicast routing with minimum energy cost and minimum delay in wireless sensor networks

, 2005
In this paper, we consider the multicast routing with minimum energy cost and minimum delay (MEMD) in wireless sensor networks under the access control scheme of Spatial Time Division Multiple Access (STDMA). We formulate and explore both MEMD multicast
Zhang Wei, Qu Yugui, Liu Hengchang, Zhao Baohua, Li Zhao   +4 more
core   +1 more source