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.
Results
Showing 1 to 20 of 362 for “"Multiple data"”.
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Fitting Stochastic Epidemic Models to Multiple Data Types
… epidemics models to surveillance case count data. Recently, researchers began to make use of infectious disease agent genetic data to complement statistical analyses of case count data. Such genetic analyses rely on the field of phylodynamics --- a set of population genetics tools that aim at …
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Diagnosis of Cognitive Impairment using Multiple Data Modalities
… learning techniques to leverage both of these data modalities in a single end-to-end pipeline that is robust to missing information. A number of techniques have been designed, implemented and validated to diagnose different types of cognitive impairment including mild cognitive impairment and …
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Integrating Multiple Data Views for Improved Malware Analysis
… of my methods is that they all take into account multiple views of malware. Typically, analysis has been performed in either the static domain (e.g. the byte information of the executable) or the dynamic domain (e.g. system call traces). This dissertation develops frameworks that can easily …
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Multiclass Origin-Destination Estimation Using Multiple Data Types
… O-D estimation using various types of data. Limited memory BFGS method with bounded constraints is used for solving the upper level optimization, which is used to derive O-D table entries by minimizing the sum of squared differences between observations from different data sources and …
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Advancements in environmental statistics concerning multiple data sources
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2023-12-04 without embargo terms
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OPM model-based integration of multiple data repositories
Data integration is at the heart of a significant portion of current information system implementations. As companies continue to move towards a diverse, growing set of Commercial Off the Shelf (COTS) applications to fulfill their information technology needs, the need to integrate data between …
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Handling Concept Drift Using the Correlation between Multiple Data Streams
… has been a major issue in handing streaming data in machine learning area. To date, the research on concept drift considers data streams separately, ignoring the correlations between data streams. Motivated by this, this research proposes four methods to deal with the correlations between …
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Integration of Multiple Data Types for Analysis of Cancer Cell Lines
… expression, sequencing and compound sensitivity data for each of the cell lines from the collection covering almost a thousand of the available cancer cell lines. Such data provides rich sources to explore important insights into tumor biology; however they also highlight the need for additional …
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Using Multiple Data Sources for Customer Satisfaction Analyzing: A Sentimental Approach
<p>The effectiveness of data and data providers in marketing has created a hype in the marketing world. Businesses often face a divided approach because of the increasing volume of data collected through a variety of data channels. This results in marketers often facing problems in acquiring …
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Diffeomorphic image registration with applications to deformation modelling between multiple data sets
… and are able to cope with low quality data typically encountered in Adaptive Radiotherapy (ART). The research has led to the main emphasis being laid on the diffeomorphic image registration to achieve one-to-one mapping between images. This involves introduction of the log-domain …
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Assessing multiple data sets for habitat suitability modeling of bats across Illinois
The student, Sarah Gaulke, accepted the attached license on 2022-04-25 at 11:59.
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Bayesian methodology for integrating multiple data sources and specifying priors from predictive information
… studied, and is compatible with the available data. In this thesis we address challenges to model specification when we have either multiple data sources and/or expert knowledge about the observable quantities in our model. We often collect many distinct data sets that capture different, but …
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Are black bears declining in Montana? Inference from multiple data sources in the face of uncertainty
… populations and reduce conflict with humans, but data-based decision-making is difficult due to the expense of data collection. When new fieldwork is impossible, we can benefit from available data in assessing populations. I used demographic and harvest data to assess the population status of …
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Are black bears declining in Montana? Inference from multiple data sources in the face of uncertainty
… populations and reduce conflict with humans, but data-based decision-making is difficult due to the expense of data collection. When new fieldwork is impossible, we can benefit from available data in assessing populations. I used demographic and harvest data to assess the population status of …
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Estimating hydrologic fluxes, crop water use, and agricultural land use in China from multiple data sources
… it - will continue to increase. Quantitative data about water availability, water use, and agricultural land use are needed to develop sustainable water and agricultural planning and policies. However, existing large-scale data are susceptible to errors and can be physically inconsistent. …
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Multiple data set integration and GIS techniques used to investigate linear structural controls in the southern Powder River Basin, Wyoming
… by previous works. Comparisons with subsurface data suggests that the concentration of lineaments is strongly coincident with gravity and magnetic highs and lows, possibly representing the surface expression of basement-rooted structure. Lastly, the location many reservoirs in the basin also …
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Assessing Health Status, Disease Burden, and Quality of Life in Appalachia Tennessee: The Importance of Using Multiple Data Sources in Health Research.
… quality of life in Appalachia using available data and improved health outcome assessment measures.</p><p>For this dissertation, 3 secondary data sources collected by the State of Tennessee and the National Center for Health Statistics (NCHS) were used. These data were used to calculate the …
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Utilizing Multiple Data Sources In The Preparation Of A Vision Zero Plan For The City Of Alexandria: Investigating The Relationship Between Transportation Infrastructure, Socio- Economic Characteristics, And Crash Outcomes In The City
“Vision Zero,” first adopted by Sweden in 1997, is a road safety policy that aims to achieve a transportation system having zero fatalities or serious injuries for all modes of transportation. It takes a proactive approach to road safety system by identifying risk and taking steps to prevent …
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BioDig : architecture for integrating heterogeneous biological data repositories using ontologies
… information that are stored in autonomous data repositories distributed across the World Wide Web. There exists a need to integrate information from multiple data repositories for the purposes of data mining; however, current methods of integration require a significant amount of manual …
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Harmonic Analysis Inspired Data Fusion for Applications in Remote Sensing
This thesis will address the fusion of multiple data sources arising in remote sensing, such as hyperspectral and LIDAR. Fusing of multiple data sources provides better data representation and classification results than any of the independent data sources would alone. We begin our investigation …
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