Results 151 to 160 of about 4,786,449 (207)

Quadratic decomposition based TCN-Transformer for time series prediction of micro-seismic signals in coal mines. [PDF]

Sci Rep
Gan Y, Huang C, Zhang Z, Lu W, Gao B, Cai X, Xu T.   +6 more
europepmc   +1 more source

An sEMG Denoising Method with Improved Threshold Estimation for Rapid Keystroke Tasks. [PDF]

Sensors (Basel)
Han P, Ding B, Deng P, Wu D, Li H.
europepmc   +1 more source

Fault feature extraction for centrifugal pump impellers via EMD and cyclic bispectral slicing. [PDF]

Sci Rep
Liang X, Chen H, Wang L, Li S, Wang Z, Shi Z, Sheng X.   +6 more
europepmc   +1 more source

Intelligence prediction of integrated circuit reliability based on SSA-LSTM fusion architecture. [PDF]

PLoS One
Qian Y, Liu B, Su B, Zhang C.
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Identification of Retinal Diseases Using Light Convolutional Neural Networks and Intrinsic Mode Function Technique. [PDF]

Diagnostics (Basel)
Kulkarni P, Reddy KS.
europepmc   +1 more source

Comparison of advanced signal decomposition techniques for the classification of PQDs by machine learning algorithms. [PDF]

Sci Rep
Battula VVR, K P, K S.
europepmc   +1 more source

Using Empirical Mode Decomposition (EMD) for the processing of marine MT data

, 2011
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Application of Empirical Mode Decomposition (EMD) on DaTSCAN SPECT images to explore Parkinson Disease

Expert Systems With Applications, 2013
Parkinsonism is the second most common neurodegenerative disorder. It includes several pathologies with similar symptoms, what makes the diagnosis really difficult. I-ioflupane allows to obtain in vivo images of the brain that can be used to assist the PS diagnosis and provides a way to improve its accuracy.
Javier Ramírez, I A Illan, J M Górriz
exaly   +3 more sources

A Diffusion-Based Two-Dimensional Empirical Mode Decomposition (EMD) Algorithm for Image Analysis

Lecture Notes in Computer Science, 2018
We propose a novel diffusion-based, empirical mode decomposition (EMD) algorithm for image analysis. Although EMD has been a powerful tool in signal processing, its algorithmic nature has made it difficult to analyze theoretically. For example, many EMD procedures rely on the location of local maxima and minima of a signal followed by interpolation to ...
Edward R Vrscay, Heming Wang
exaly   +3 more sources