نتایج جستجو برای: eegmeg تحلیل مؤلفههای مستقل ica

تعداد نتایج: 260832  

2001
Jagath C. Rajapakse Wei Lu

To extract consistently and transiently task-related component maps, a novel ICA paradigm, the ICA with reference (ICA-R), is proposed. ICA-R produces only component maps corresponding to the input stimuli which are used as reference signals in the learning paradigm, and all activations corresponding to a particular stimulus are located in a single component map. Computational and memory requir...

Journal: :journal of medical bacteriology 0
mohsen mirzaee department of bacteriology, faculty of medical sciences, tarbiat modares university, tehran, ir iran. shahin najar-peerayeh department of bacteriology, faculty of medical sciences, tarbiat modares university, tehran, ir iran. mehrdad behmanesh department of genetics, school of biological science, tarbiat modares university, tehran, ir iran. mahdi forouzandeh-moghadam department of genetics, school of biological science, tarbiat modares university, tehran, ir iran abdol-majid ghasemian department of bacteriology, faculty of medical sciences, tarbiat modares university, tehran, ir iran.

b a ckground : in fact the biofilms are composed of bacterial cells living inmulticellular structures such as tissues and organs embedded within a self-produced matrix of extracellular polymeric substance (eps). ability to attach and biofilm formation are the most important virulence factors staphylococcus aureus isolates. the aims of this study were to detect intracellular adhesion (ica) locus...

Production scheduling (planning) of an open-pit mine is the procedure during which the rock blocks are assigned to different production periods in a way that the highest net present value of the project achieved subject to operational constraints. The paper introduces a new and computationally less expensive meta-heuristic technique known as imperialist competitive algorithm (ICA) for long-term...

Journal: :The Journal of clinical investigation 1993
M A Atkinson D L Kaufman D Newman A J Tobin N K Maclaren

Individuals with or at risk for insulin-dependent diabetes (IDD) frequently have autoantibodies against an islet cell cytoplasmic (ICA) antigen thought to be a sialoglycolipid. However, we now report that preabsorption of ICA-positive sera with recombinant glutamate decarboxylase (human GAD 65 and/or GAD 67) reduced or blocked the ICA reactivity of 5/18 (27%) new-onset IDD patients and 7/18 (39...

Journal: :Diabetes 1993
W Richter J Seissler W Northemann S Wolfahrt H M Meinck W A Scherbaum

Cytoplasmic islet cell antibodies are well-established predictive markers of IDDM. Although target molecules of ICA have been suggested to be gangliosides, human monoclonal ICA of the immunoglobulin G class (MICA 1-6) produced from a patient with newly diagnosed IDDM recognized glutamate decarboxylase as a target antigen. Here we analyzed the possible heterogeneity of target antigens of ICA by ...

Journal: :Dandelion: Postgraduate Arts Journal and Research Network 2013

Journal: :Miscellanea Hadriatica et Mediterranea 2017

Afsane Bijari Amir-Reza Abtahi

In this paper, a hybrid meta-heuristic algorithm, based on imperialistic competition algorithm (ICA), harmony search (HS), and simulated annealing (SA) is presented. The body of the proposed hybrid algorithm is based on ICA. The proposed hybrid algorithm inherits the advantages of the process of harmony creation in HS algorithm to improve the exploitation phase of the ICA algorithm. In addition...

2006
Jiajin Lei Tim Lay Chris Weiland Chao Lu

ICA decomposes a set of features into a basis whose components are statistically independent. It minimizes the statistical dependence between basis functions and searches for a linear transformation to express a set of features as a linear combination of statistically independent basis functions. Though ICA has found its application in face recognition, mostly spatial ICA was employed. Recently...

Journal: :Journal of Control, Automation and Electrical Systems 2021

Abstract The detection of sensor faults has proven to be easier through data-driven methods which rely on historical data collected from sensors that are placed at various locations in a process plant. Since the distribution industrial variables is random and non-Gaussian, independent component analysis (ICA) method been better suited for fault (FD) problems. Whenever comes with any level noise...

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