Results 91 to 100 of about 150,011 (287)
Determining Number of Independent Sources in Undercomplete Mixture
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
doaj +1 more source
Scatter Matrices and Independent Component Analysis
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
Imaging haemodynamic changes related to seizures: comparison of EEG-based general linear model, independent component analysis of fMRI and intracranial EEG [PDF]
Background: Simultaneous EEG-fMRI can reveal haemodynamic changes associated with epileptic activity which may contribute to understanding seizure onset and propagation. Methods: Nine of 83 patients with focal epilepsy undergoing pre-surgical evaluation
Cannadathu, S. +9 more
core
The occurrence and progression of colorectal cancer are intricately linked to metabolites produced by the gut microbiota. Metabolites generated by pathogenic microbial communities can promote colorectal cancer development by reshaping the immune microenvironment.
Xinrui Yang +3 more
wiley +1 more source
Extraction of GRACE/GRACE-FO observed mass change patterns across Antarctica via independent component analysis (ICA). [PDF]
Shi T, Fukuda Y, Doi K, Okuno J.
europepmc +1 more source
Microbial metabolites in tumor epigenetic regulation
The gut microbiome modulates tumor epigenetic regulation through bioactive metabolites derived from dietary substrates. Microbiota‐produced SCFAs, secondary BAs, one‐carbon metabolites, and tryptophan‐derived ligands regulate histone acetylation, DNA methylation, and chromatin remodeling via HDAC, DNMT, AhR, and metabolic cofactor‐dependent pathways ...
Wangzheqi Zhang +31 more
wiley +1 more source
[Independent Components Analysis (ICA) in the study of electroencephalographic signals].
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
openaire +1 more source
Image metadata estimation using independent component analysis and regression [PDF]
In this paper, we describe an approach to camera metadata estimation using regression based on Independent Component Analysis (ICA). Semantic scene classification of images using camera metadata related to capture conditions has had some success in the ...
Blighe, Michael +2 more
core
Metabolomic & lipidomic analysis reveals metabolic overlap between CAD & T2DM, highlighting 7 key metabolites as potential biomarkers. A predictive model based on these achieves high accuracy, potentially advancing precision medicine & metabolic insights.
Zhihua Wang +9 more
wiley +1 more source
Secure Transceiver Based on Independent Component Analysis (ICA) Algorithm
Dheyaa Al-Zuhairi +2 more
openaire +1 more source

