Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 6 of 6 for “"Independent Components Analysis"”.
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Separating a Gas Mixture Into Its Constituent Analytes Using Fica
… scalable signal processing system that employs independent components analysis (ICA) to extract and identify individual analytes present in a gas mixture; separation and identification of gas mixtures using ICA has not been investigated previously. FICA takes a fundamentally different approach …
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Altered Brain Networks In Patients with Psychogenic Non-Epileptic Seizures (PNES) Using Ultra High Field MRI
… underwent 7T resting-state fMRI scanning. Independent Components Analysis (ICA) and whole brain functional connectivity making use of region of interest analysis (ROI) was used to study the default mode network and the salience network. Results: No Significant differences in functional …
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Use and Development of Matrix Factorisation Techniques in the Field of Brain Imaging
… Notable techniques in this family are Principal Components Analysis and Independent Components Analysis. Applied to brain images, matrix factorisation provides insight into the spatial and temporal structure of data. We improve on current practice with methods that unify different stages of …
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Recoverable resources calculation using non-linear methods: a comparative study
… for decorrelation of geostatistical datasets, Independent Components Analysis (ICA), is compared against the more common method of Minimum-Maximum Autocorrelation Factorisation (MAF). ICA performs comparably against MAF in terms of its ability to diagonalise the variance-covariance matrix of …
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Large-scale Functional Connectivity in the Human Brain Reveals Fundamental Mechanisms of Cognitive, Sensory and Emotion Processing in Health and Psychiatric Disorders
… units that underlie behavior. In Chapter 2, Independent Components Analysis (ICA), Psychophysiological Interactions (PPI) and Dynamic Causal Modeling (DCM) analyses were used to investigate the hypothesis that expectation and attention-related interactions between ventral and medial …
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Methodologies for remaining useful life estimation with multiple sensors in rotating machinery
The focus of this thesis was the development of failure prognosis methods (prognostics) in rotating machinery with use of multiple sensors digital signal processing and machine learning techniques. The motivation stems from the void in literature concerning prognostics in meshing gearboxes. …