Results 71 to 80 of about 5,348,114 (153)
, 2017 © 2017 IEEE. The use of the Empirical Mode Decomposition (EMD) for nonlinear signal processing has been popularized in the recent years. However, its utility for the processing of multichannel Electromyography (EMG) signals is still limited.
Yao, D +7 more
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Thermal Image Enhancement using Bi-dimensional Empirical Mode Decomposition in Combination with Relevance Vector Machine for Rotating Machinery Fault Diagnosis [PDF]
, 2009 In this study, a novel fault diagnosis system for rotating machinery using thermal imaging is proposed. This system consists of bi-dimensional empirical mode decomposition (BEMD) for image enhancement, a generalized discriminant analysis (GDA) for ...
Yang, Bo-Suk +7 more
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Advanced Intelligent Systems, Volume 6, Issue 1, January 2024.Herein, both rhythmic locomotion and volitional movement intention have been simultaneously analyzed from electromyography (EMG) signals. Knee angles and seven motion states during dynamic locomotion are continuously recognized. And it is discovered that the multitask learning not only compensates for the lack of information in the control system, but ...
Jiaqi Xue, King Wai Chiu Lai
wiley +1 more source
WIREs Data Mining and Knowledge Discovery, Volume 14, Issue 1, January/February 2024.A review of recent research on the application of deep learning models to price forecast of financial time series, with information on model architectures, applications, advantages and disadvantages, and directions for future research. Abstract Accurately predicting the prices of financial time series is essential and challenging for the financial ...
Cheng Zhang +2 more
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Fault diagnosis approach of rolling bearing based on NA-MEMD and FRCMAC
The Journal of Engineering, 2018 This paper proposed a new method of fault diagnosis based on Noise Assisted Multivariate Empirical Mode Decomposition (NA-MEMD) and Fuzzy Recurrent Cerebellar Model Articulation Controller (FRCMAC) Neural Networks.
Sheng Liu, Yue Sun, Lanyong Zhang
doaj +1 more source
Technical note: Multiple wavelet coherence for untangling scale-specific and localized multivariate relationships in geosciences [PDF]
Hydrology and Earth System Sciences, 2016 The scale-specific and localized bivariate relationships in geosciences can be revealed using bivariate wavelet coherence. The objective of this study was to develop a multiple wavelet coherence method for examining scale-specific and localized ...
W. Hu, B. C. Si
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, 2019 Soil moisture forecasts are vital for environmental monitoring, the health of ecological systems, hydrology, agriculture and understanding the soil characteristics. In this study, we design a new multivariate sequential predictive model that utilizes the
Deo, Ravinesh C. +3 more
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IEEE Transactions on Neural Systems and Rehabilitation EngineeringObjective: In infantile epileptic spasms syndrome (IESS), relapse following initial effective adrenocorticotropic hormone (ACTH) treatment presents a significant challenge, involving complex neuronal oscillation interactions.
Chuting Zhang +4 more
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Engineering Science and Technology, an International Journal, 2016 Effective online processing of electroencephalogram (EEG) signals is a prerequisite of brain computer interfacing (BCI). In this paper, we propose a hybrid method consisting of multivariate empirical mode decomposition (MEMD) and short time Fourier ...
Syed Khairul Bashar +1 more
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EEG-Based Detection of Induced Relaxation
IEEE AccessRelaxation, 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 +5 more
doaj +1 more source