Results 101 to 110 of about 265,367 (299)
ChemSusChem, Volume 18, Issue 6, March 15, 2025.Perovskite oxide catalysts with reduced Co content, substituted by Fe and Ni, are synthesized and studied for their activity in the oxygen evolution reaction in alkaline media. An increase in the intrinsic catalytic activity (obtained by the (RctCdl)−1 product) of the base material (Ba0.5Gd0.8La0.7Co2O6‐δ) is seen for an as high as 70 % substitution of
Henrik Petlund +6 more
wiley +1 more source
Uncovering beam position monitor noise at the Relativistic Heavy Ion Collider
Physical Review Special Topics. Accelerators and Beams, 2015 We apply the independent component analysis (ICA) algorithm to uncover intrinsic noise in the beam position monitor (BPM) system. Numerical simulations found that ICA is efficient in the BPM noise estimation.
X. Shen, S. Y. Lee, M. Bai
doaj +1 more source
Extraction of GRACE/GRACE-FO observed mass change patterns across Antarctica via independent component analysis (ICA). [PDF]
Geophys J Int, 2022 Shi T, Fukuda Y, Doi K, Okuno J.
europepmc +1 more source
Epilepsia, EarlyView.Cong Fu et al. demonstrate that glymphatic system dysfunction is linked to enhanced inhibitory cortical activity using diffusion MRI and EEG. These findings highlight a mechanistic link between perivascular fluid dynamics and neuronal activity, suggesting a role for glymphatic function in maintaining cortical stability in epilepsy.
Cong Fu +11 more
wiley +1 more source
FACE RECOGNITION USING PCA, LDA AND ICA APPROACHES ON COLORED IMAGES
Electrica, 2002 In this paper, the performances of appearance-based statistical methods such as Principal Component Analysis (PCA), Linear Discriminant Analysis (LDA) and Independent Component Analysis (ICA) are tested and compared for the recognition of colored face ...
Önsen TOYGAR, Adnan ACAN
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Measuring the accuracy of ICA-based artifact removal from TMS-evoked potentials
Brain StimulationBackground: The analysis and interpretation of transcranial magnetic stimulation (TMS)-evoked potentials (TEPs) relies on successful cleaning of the artifacts, which typically mask the early (0–30 ms) TEPs.
Iiris Atti +3 more
doaj +1 more source
Determining Number of Independent Sources in Undercomplete Mixture
EURASIP Journal on Advances in Signal Processing, 2009 Separation of independent sources using independent component analysis (ICA) requires prior knowledge of the number of independent sources. Performing ICA when the number of recordings is greater than the number of sources can give erroneous results.
Dinesh K. Kumar, Ganesh R. Naik
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[Independent Components Analysis (ICA) in the study of electroencephalographic signals].
Neurologia (Barcelona, Spain), 2005 Independent Component Analysis (ICA) is a mathematical tool able to separate complex signals in statistically independent components. It solves the blind source separation problem (BSS). The EEG satisfies most of the assumptions of ICA, so it may be an adequate signal for ICA for its use.
E, Urrestarazu, J, Iriarte
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Cardiac remodeling and arrhythmia in a mouse model of Depdc5 haploinsufficiency
Epilepsia, EarlyView.Abstract Objective Some ion channel genes linked to developmental and epileptic encephalopathy (DEE) are also linked to cardiac arrhythmia, leading to the hypothesis that predisposition to cardiac arrhythmias may contribute to the complex disease presentation of DEE and possibly to the mechanism of sudden unexpected death in epilepsy.
Roberto Ramos‐Mondragon +9 more
wiley +1 more source
Scatter Matrices and Independent Component Analysis
Austrian Journal of Statistics, 2016 In the independent component analysis (ICA) it is assumed that the components of the multivariate independent and identically distributed observations are linear transformations of latent independent components.
Hannu Oja, Seija Sirkiä, Jan Eriksson
doaj +1 more source