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 20 of 791 for “"correlation analysis"”.
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Network identification via multivariate correlation analysis
… issue, a statistical method based on Pearson’s correlation coefficient was proposed. The former inherits the versatility of the latter, declined in a general applicability to any kind of system and the capability to evaluate cross–correlation of time series pairs both simultaneously and at …
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Canonical Correlation Analysis for Longitudinal Data
… commonly occur in applications. Statistical analysis of these data is usually done using a canonical correlation analysis (CCA). Occurrence of these data at multiple occasions or conditions leads to longitudinal multivariate data for a CCA. We address the problem of canonical correlation …
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Topics in Generalized Correlation Analysis and Clustering
… This dissertation explores multimodal data analysis from the standpoints of algorithms, theories, and applications in various fields. It consists of three main components. The first part of the dissertation studies the topic of sparse generalized correlation analysis (sparse GCA). We first …
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Study of correlation analysis for protein-protein interactions
… interaction, most methods are based on the correlation of either protein pairs’ sequences information or expression data. Here in our study, we firstly studied the entire sequence approach of correlation analysis, which is also called mirrortree method. We applied it to the interacting and …
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Mining sophisticated patterns for classification and correlation analysis
… since it was first proposed for market basket analysis. Even though pattern mining is one of the oldest topic in data mining domain, there are still many ongoing challenges to overcome on this subject since the scale of the data size is getting bigger and the complexity of data structure is …
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Learning-based Correlation Analysis Between Laser Speckle and Surface Size Distribution
… image and describe a physics-enhanced autocorrelation-based estimator (PEACE) machine learning algorithm for speckle analysis to measure the PSD of a powder surface. This method solves both the forward and inverse problems together and enjoys increased interpretability, since the machine …
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Delineating contributing areas for karst springs using NEXRAD data and cross-correlation analysis
The use of cross-correlation analysis on spring discharge and precipitation data in karst aquifer basins has been used for many years to develop a conceptual understanding of an aquifer and estimate aquifer properties. However, to this point, the application of these processes has relied on gaged …
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Digital image correlation analysis of alkali silica reaction in concrete with recycled glass aggregate
Digital image correlation (DIC) is an effective tool for measuring the in-plane displacement and full-field strain of the surface of an object. DIC can be implemented as a low-cost non-destructive technique using a time series of images of the object of interest. The advantages of DIC inspires the …
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Sonoelastography of the Supraspinatus Tendon: Correlation Analysis with T2* Mapping of the Supraspinatus Tendon on 3 Tesla MRI
… via an independent external workstation. Correlation analysis was performed for strain ratio S/D, and the mean (T2*bulk) and standard deviation (T2*h) of T2* values. Linear and non-linear regression analyses were performed to find the best functions to fit each parameter. Results: The mean …
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Electron diffuse-scattering fluctuation and correlation analysis in complex face-centered-cubic alloys via four-dimensional scanning transmission electron microscopy
… behaviors in alloys frequently relies on the analysis of diffuse-scattering signals recorded by electron diffraction, which provide valuable insights into the structural characteristics of ordering, including direction and periodicity. Among the various electron diffraction techniques …
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Best Practices In Online Pedagogy: A Pearson Correlation Analysis Between Teaching Evaluation Scores And Transactional Distance Scores In Online Graduate Courses
… score (TDS). The researcher used a Pearson’s correlation analysis to measure the strength of the relationship between teaching evaluation scores and TDS. A thorough literature review revealed a gap in research related to how best practices in online pedagogy affected teaching evaluation scores …
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Correlation analysis between the EEG parameters and the parameters derived from ECG and Steering wheel related signals for driver drowsiness detection
… ECG and steering wheel related parameters. The correlation between EEG and ECG parameters and the correlation between EEG and steering wheel parameters for drowsiness detection are analyzed. If strong correlation between them are found it is possible to use the ECG and steering wheel related …
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Use of Cross-Correlation Analysis to Determine Heart Rate Kinetics During Non-Steady State, Fatiguing Exercise in Collegiate Female Soccer Athletes
… quasi-binary, and dynamic exercise using cross-correlation analysis of HR and external work rate. Heart rate and running speed were cross-correlated yielding a cross-correlation function (CCF) and analyzed for its peak (CCFmax) and time delay (CCFlag). Modeled exercise data where the time …
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Multi-modal Multi-Level Neuroimaging Fusion with Modality-Aware Mask-Guided Attention and Deep Canonical Correlation Analysis to Improve Dementia Risk Prediction
… Random Modality Masking and Deep Canonical Correlation Analysis (DCCA) for cross-modal feature alignment. Experiments on the ADNI dataset demonstrate that the proposed MRI+PET (MAMGA+DCCA) model achieves a balanced accuracy of 0.998 and an AUC-ROC of 0.999 in distinguishing stable normal …
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Time -Resolved Visualization and Analysis of Compressible Blunt -Base Cylinder Wakes
… wakes is also performed. Both conventional cross-correlation analysis and cross-correlation analysis conditioned on the coherent structures are performed to measure the convection velocity of the coherent structures. The coherent structures in the developing shear layers in side-view images of …
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Multiview feature learning for speech recognition
… a multiview learning approach based on canonical correlation analysis to learn linear transformations of the acoustic features that are maximally correlated with the data. We propose simple approaches for combining information shared across the views with information that is private to the …
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The Influence of Service Quality on Customer Satisfaction in Intercity Public Transportation: A Case of a Alsaedy High Class Bus Service
… expectations with actual perception of services. Correlation analysis was used to establish the relationship between service quality and customer satisfaction while Regression analysis was used to determine the most important service quality dimensions in public transport service. A sample size of …
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Factors influencing the Acromio-Humeral distance in elite athletes
… reduce this space, are explored in this thesis. Correlation analysis between factors (Scapula rotation in the coronal plane, Pectoralis Minor length, Thoracic kyphosis, Glenohumeral rotation and load) with the AHD was done to confirm or refute some of these associations. To accomplish the …
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A Bayesian Fusion Approach and Its Application to Integrating Audio and Visual Signals in HCI
Finally, kernel canonical correlation analysis (CCA) is developed to model nonlinear or high-order correlations between signals from two sources. Kernel CCA uses kernel principal component analysis (PCA), which elegantly combines a nonlinear transformation and linear PCA into a one-step …
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