Results 41 to 50 of about 27,220,972 (292)

Improving the performance of independent component regression

open access: yesJournal of Algorithms & Computational Technology
In this study, we aim to comprehensively explore the application of principal component analysis (PCA) and independent component analysis (ICA), considering their practical utility.
Mahla Ghasemnejad   +2 more
doaj   +1 more source

Tracking Battery Microstructural Degradation Through Directional Thermal Transport Signatures

open access: yesAdvanced Functional Materials, EarlyView.
In lithium‐ion batteries, heat conduction varies between the through‐plane and in‐plane directions because of the cell's layered structure. Therefore, cell degradation influences thermal conductivity in each direction uniquely due to detailed microstructural and compositional changes.
Mohammad Shoghi Tekmedash   +6 more
wiley   +1 more source

Parallel ICA identifies sub-components of resting state networks that covary with behavioral indices

open access: yesFrontiers in Human Neuroscience, 2012
Parallel Independent Component Analysis (para-ICA) is a multivariate method that can identify complex relationships between different data modalities by simultaneously performing Independent Component Analysis on each data set while finding mutual ...
Timothy eMeier   +19 more
doaj   +1 more source

Lactiplantibacillus Plantarum GUANKE Alleviates Allergic Asthma by Restricting Monocyte‐to‐DC Differentiation Via Microbiota‐Associated IAA

open access: yesAdvanced Science, EarlyView.
Lactiplantibacillus plantarum GUANKE remodels the indigenous gut microbiota and is associated with microbiota‐dependent restoration of circulating IAA. IAA treatment attenuates JAK3‐STAT3 and Jag1‐Notch4‐Hey1 signaling and reduces CX3CR1+Ly6C− monocytic precursor generation and pulmonary CD11b+ DC accumulation, together with reduced Th2 inflammation ...
Yujia He   +10 more
wiley   +1 more source

Image metadata estimation using independent component analysis and regression [PDF]

open access: yes, 2006
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 ...
O'Connor, Noel E.   +2 more
core   +2 more sources

A review of independent component analysis application to microarray gene expression data

open access: yesBioTechniques, 2008
Independent component analysis (ICA) methods have received growing attention as effective data-mining tools for microarray gene expression data. As a technique of higher-order statistical analysis, ICA is capable of extracting biologically relevant gene ...
Wei Kong   +4 more
doaj   +1 more source

Scalable Crackle‐Lithography for Multifunctional Enclosed Plastic Nanofluidic Devices

open access: yesAdvanced Science, EarlyView.
Crackle‐lithography enables scalable fabrication of enclosed plastic‐substrate‐based nanofluidic devices with interconnected nanochannels that enable molecular transport, optical interrogation, confined electroless copper deposition, and ionic memristive behavior.
Tirumala Rao Dumpala   +8 more
wiley   +1 more source

Application of Constrained Robust Independent Component Analysis in the Fault Diagnosis of Rolling Element Bearing

open access: yesJixie chuandong, 2015
The method of independent component analysis is widely used in mechanical equipment fault diagnosis domain.A novel method named as constrained robust independent component analysis( cRobust ICA)based on Robust ICA algorithm is proposed which utilized ...
Liao Qiang, Li Xunbo, Huang Bo
doaj  

Parallel group independent component analysis for massive fMRI data sets. [PDF]

open access: yesPLoS ONE, 2017
Independent component analysis (ICA) is widely used in the field of functional neuroimaging to decompose data into spatio-temporal patterns of co-activation.
Shaojie Chen   +8 more
doaj   +1 more source

Independent component analysis of interictal fMRI in focal epilepsy: comparison with general linear model-based EEG-correlated fMRI [PDF]

open access: yes, 2007
The general linear model (GLM) has been used to analyze simultaneous EEG–fMRI to reveal BOLD changes linked to interictal epileptic discharges (IED) identified on scalp EEG. This approach is ineffective when IED are not evident in the EEG.
Lemieux, L.   +9 more
core   +1 more source

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