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Dissertations / Theses on the topic 'Visualization – Data processing'

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1

Huang, Shiping. "Exploratory visualization of data with variable quality." Link to electronic thesis, 2005. http://www.wpi.edu/Pubs/ETD/Available/etd-01115-225546/.

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2

Gomes, Ricardo Rafael Baptista. "Long-term biosignals visualization and processing." Master's thesis, Faculdade de Ciências e Tecnologia, 2011. http://hdl.handle.net/10362/7979.

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Thesis submitted in the fulfillment of the requirements for the Degree of Master in Biomedical Engineering<br>Long-term biosignals acquisitions are an important source of information about the patients’state and its evolution. However, long-term biosignals monitoring involves managing extremely large datasets, which makes signal visualization and processing a complex task. To overcome these problems, a new data structure to manage long-term biosignals was developed. Based on this new data structure, dedicated tools for long-term biosignals visualization and processing were implemented. A mu
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3

Cai, Bo. "Scattered Data Visualization Using GPU." University of Akron / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=akron1428077896.

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4

Park, Joonam. "A visualization system for nonlinear frame analysis." Thesis, Georgia Institute of Technology, 1999. http://hdl.handle.net/1853/19172.

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5

Mattasantharam, R. (Rubini). "3D web visualization of continuous integration big data." Master's thesis, University of Oulu, 2018. http://urn.fi/URN:NBN:fi:oulu-201812063239.

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Continuous Integration (CI) is a practice that is used to automate the software build and its test for every code integration to a shared repository. CI runs thousands of test scripts every day in a software organization. Every test produces data which can be test results logs such as errors, warnings, performance measurements and build metrics. This data volume tends to grow at unprecedented rates for the builds that are produced in the Continuous Integration (CI) system. The amount of the integrated test results data in CI grows over time. Visualizing and manipulating the real time and dynam
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6

Chung, David H. S. "High-dimensional glyph-based visualization and interactive techniques." Thesis, Swansea University, 2014. https://cronfa.swan.ac.uk/Record/cronfa42276.

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The advancement of modern technology and scientific measurements has led to datasets growing in both size and complexity, exposing the need for more efficient and effective ways of visualizing and analysing data. Despite the amount of progress in visualization methods, high-dimensional data still poses a number of significant challenges in terms of the technical ability of realising such a mapping, and how accurate they are actually interpreted. The different data sources and characteristics which arise from a wide range of scientific domains as well as specific design requirements constantly
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7

Peng, Wei. "Clutter-based dimension reordering in multi-dimensional data visualization." Link to electronic thesis, 2005. http://www.wpi.edu/Pubs/ETD/Available/etd-01115-222940.

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8

Narayanan, Shruthi (Shruthi P. ). "Real-time processing and visualization of intensive care unit data." Thesis, Massachusetts Institute of Technology, 2017. http://hdl.handle.net/1721.1/119537.

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Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2017.<br>This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.<br>Cataloged from student-submitted PDF version of thesis.<br>Includes bibliographical references (page 83).<br>Intensive care unit (ICU) patients undergo detailed monitoring so that copious information regarding their condition is available to support clinical decision-making. Full utilization of the data depends heavily on it
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9

Wad, Charudatta V. "QoS : quality driven data abstraction for large databases." Worcester, Mass. : Worcester Polytechnic Institute, 2008. http://www.wpi.edu/Pubs/ETD/Available/etd-020508-151213/.

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10

Antle, Alissa N. "Interactive visualization tools for spatial data & metadata." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape4/PQDD_0010/NQ56495.pdf.

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11

Cena, Bernard Maria. "Reconstruction for visualisation of discrete data fields using wavelet signal processing." University of Western Australia. Dept. of Computer Science, 2000. http://theses.library.uwa.edu.au/adt-WU2003.0014.

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The reconstruction of a function and its derivative from a set of measured samples is a fundamental operation in visualisation. Multiresolution techniques, such as wavelet signal processing, are instrumental in improving the performance and algorithm design for data analysis, filtering and processing. This dissertation explores the possibilities of combining traditional multiresolution analysis and processing features of wavelets with the design of appropriate filters for reconstruction of sampled data. On the one hand, a multiresolution system allows data feature detection, analysis and fil
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12

Cui, Qingguang. "Measuring data abstraction quality in multiresolution visualizations." Worcester, Mass. : Worcester Polytechnic Institute, 2007. http://www.wpi.edu/Pubs/ETD/Available/etd-041107-224152/.

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13

Carter, Caleb. "High Resolution Visualization of Large Scientific Data Sets Using Tiled Display." Fogler Library, University of Maine, 2007. http://www.library.umaine.edu/theses/pdf/CarterC2007.pdf.

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14

Patro, Anilkumar G. "Pixel oriented visualization in XmdvTool." Link to electronic thesis, 2004. http://www.wpi.edu/Pubs/ETD/Available/etd-0907104-084847/.

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15

STURARI, MIRCO. "Processing and visualization of multi-source data in next-generation geospatial applications." Doctoral thesis, Università Politecnica delle Marche, 2018. http://hdl.handle.net/11566/252596.

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Le applicazioni geospaziali di nuova generazione come dati non usano semplicemente punti, linee e poligoni, ma oggetti complessi o evoluzioni di fenomeni che hanno bisogno di tecniche avanzate di analisi e visualizzazione per essere compresi. Le caratteristiche di queste applicazioni sono l'uso di dati multi-sorgente con diverse dimensioni spaziali, temporali e spettrali, la visualizzazione dinamica e interattiva con qualsiasi dispositivo e quasi ovunque, anche sul campo. L'analisi dei fenomeni complessi ha utilizzato fonti dati eterogenee per formato/tipologia e per risoluzione spaziale/tem
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16

Thakar, Aniruddha. "Visualization feedback from informal specifications." Thesis, This resource online, 1993. http://scholar.lib.vt.edu/theses/available/etd-03242009-040810/.

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17

Zhang, Hongqin. "Color in scientific visualization : perception and image-based data display /." Online version of thesis, 2008. http://hdl.handle.net/1850/5805.

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18

Huang, Xiaodi, and xhuang@turing une edu au. "Filtering, clustering and dynamic layout for graph visualization." Swinburne University of Technology, 2004. http://adt.lib.swin.edu.au./public/adt-VSWT20050428.111554.

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Graph visualization plays an increasingly important role in software engineering and information systems. Examples include UML, E-R diagrams, database structures, visual programming, web visualization, network protocols, molecular structures, genome diagrams, and social structures. Many classical algorithms for graph visualization have already been developed over the past decades. However, these algorithms face difficulties in practice, such as the overlapping nodes, large graph layout, and dynamic graph layout. In order to solve these problems, this research aims to systematically address bot
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19

Kraemer, Eileen T. "A framework, tools, and methodology for the visualization of parallel and distributed systems." Diss., Georgia Institute of Technology, 1995. http://hdl.handle.net/1853/9214.

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20

Choi, Yi-king, and 蔡綺瓊. "Computer visualization techniques in surgical planning for pedicle screw insertion." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2001. http://hub.hku.hk/bib/B31224234.

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21

Poon, Chun-ho, and 潘仲豪. "Efficient occlusion culling and non-refractive transparency rendering for interactive computer visualization." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2000. http://hub.hku.hk/bib/B2974328X.

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22

Lizarraga, Gabriel M. "A Neuroimaging Web Interface for Data Acquisition, Processing and Visualization of Multimodal Brain Images." FIU Digital Commons, 2018. https://digitalcommons.fiu.edu/etd/3855.

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Structural and functional brain images are generated as essential modalities for medical experts to learn about the different functions of the brain. These images are typically visually inspected by experts. Many software packages are available to process medical images, but they are complex and difficult to use. The software packages are also hardware intensive. As a consequence, this dissertation proposes a novel Neuroimaging Web Services Interface (NWSI) as a series of processing pipelines for a common platform to store, process, visualize and share data. The NWSI system is made up of passw
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23

Beard, Daniel Palaniappan K. "Firefly web-based interactive tool for the visualization and validation of image processing algorithms /." Diss., Columbia, Mo. : University of Missouri--Columbia, 2009. http://hdl.handle.net/10355/5346.

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The entire thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file; a non-technical public abstract appears in the public.pdf file. Title from PDF of title page (University of Missouri--Columbia, viewed on December 21, 2009. Thesis advisor: Dr. Kannappan Palaniappan. Includes bibliographical references.
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24

Wang, Chaoli. "A multiresolutional approach for large data visualization." Columbus, Ohio : Ohio State University, 2006. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1164730737.

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25

Jiang, Chunyan. "Multi-visualization and hybrid segmentation approaches within telemedicine framework." Phd thesis, Universität Potsdam, 2007. http://opus.kobv.de/ubp/volltexte/2007/1282/.

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26

Wang, Ko-Chih. "Distribution-based Summarization for Large Scale Simulation Data Visualization and Analysis." The Ohio State University, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1555452764885977.

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27

Henry, Sam. "Indirect Relatedness, Evaluation, and Visualization for Literature Based Discovery." VCU Scholars Compass, 2019. https://scholarscompass.vcu.edu/etd/5855.

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The exponential growth of scientific literature is creating an increased need for systems to process and assimilate knowledge contained within text. Literature Based Discovery (LBD) is a well established field that seeks to synthesize new knowledge from existing literature, but it has remained primarily in the theoretical realm rather than in real-world application. This lack of real-world adoption is due in part to the difficulty of LBD, but also due to several solvable problems present in LBD today. Of these problems, the ones in most critical need of improvement are: (1) the over-generation
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28

Techaplahetvanich, Kesaraporn. "A visualization framework for exploring correlations among atributes of a large dataset and its applications in data mining." University of Western Australia. School of Computer Science and Software Engineering, 2007. http://theses.library.uwa.edu.au/adt-WU2007.0216.

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[Truncated abstract] Many databases in scientific and business applications have grown exponentially in size in recent years. Accessing and using databases is no longer a specialized activity as more and more ordinary users without any specialized knowledge are trying to gain information from databases. Both expert and ordinary users face significant challenges in understanding the information stored in databases. The databases are so large in most cases that it is impossible to gain useful information by inspecting data tables, which are the most common form of storing data in relational data
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29

Boardman, Anelda Philine. "Assessment of genome visualization tools relevant to HIV genome research: development of a genome browser prototype." Thesis, University of the Western Cape, 2004. http://etd.uwc.ac.za/index.php?module=etd&action=viewtitle&id=gen8Srv25Nme4_3632_1185446929.

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<p>Over the past two decades of HIV research, effective vaccine candidates have been elusive. Traditionally viral research has been characterized by a gene -by-gene approach, but in the light of the availability of complete genome sequences and the tractable size of the HIV genome, a genomic approach may improve insight into the biology and epidemiology of this virus. A genomic approach to finding HIV vaccine candidates can be facilitated by the use of genome sequence visualization. Genome browsers have been used extensively by various groups to shed light on the biology and evolution of sever
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30

Glendenning, Kurtis M. "Browser Based Visualization for Parameter Spaces of Big Data Using Client-Server Model." Wright State University / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=wright1441203223.

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31

Ho, Si Meng. "Web visualization for performance evaluation of e-Government." Thesis, University of Macau, 2011. http://umaclib3.umac.mo/record=b2492851.

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32

Buchholz, Henrik. "Real-time visualization of 3D city models." Phd thesis, Universität Potsdam, 2006. http://opus.kobv.de/ubp/volltexte/2007/1333/.

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33

Nell, Raymond D. "Three dimensional depth visualization using image sensing to detect artefact in space." Thesis, Cape Peninsula University of Technology, 2014. http://hdl.handle.net/20.500.11838/1199.

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Thesis submitted in fulfilment of the requirements for the degree Doctor of Technology: Electrical Engineering in the Faculty of Engineering at the Cape Peninsula University of Technology 2014<br>Three-dimensional (3D) artefact detection can provide the conception of vision and real time interaction of electronic products with devices. The orientation and interaction of electrical systems with objects can be obtained. The introduction of electronic vision detection can be used in multiple applications, from industry, in robotics and also to give orientation to humans to their immediate surroun
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34

Yu, Zhiguo. "Cooperative Semantic Information Processing for Literature-Based Biomedical Knowledge Discovery." UKnowledge, 2013. http://uknowledge.uky.edu/ece_etds/33.

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Given that data is increasing exponentially everyday, extracting and understanding the information, themes and relationships from large collections of documents is more and more important to researchers in many areas. In this paper, we present a cooperative semantic information processing system to help biomedical researchers understand and discover knowledge in large numbers of titles and abstracts from PubMed query results. Our system is based on a prevalent technique, topic modeling, which is an unsupervised machine learning approach for discovering the set of semantic themes in a large set
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35

Ràfols, Soler Pere. "Development of a complete advanced computational workflow for high-resolution LDI-MS metabolomics imaging data processing and visualization." Doctoral thesis, Universitat Rovira i Virgili, 2018. http://hdl.handle.net/10803/461608.

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La imatge per espectrometria de masses (MSI) mapeja la distribució espacial de les molècules en una mostra. Això permet extreure informació Metabolòmica espacialment corralada d'una secció de teixit. MSI no s'usa àmpliament en la metabolòmica espacial a causa de diverses limitacions relacionades amb les matrius MALDI, incloent la generació d'ions que interfereixen en el rang de masses més baix i la difusió lateral dels compostos. Hem desenvolupat un flux de treball que millora l'adquisició de metabòlits en un instrument MALDI utilitzant un "sputtering" per dipositar una nano-capa d'Au directam
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36

Valdivia, Paola Tatiana Llerena. "Graph signal processing for visual analysis and data exploration." Universidade de São Paulo, 2018. http://www.teses.usp.br/teses/disponiveis/55/55134/tde-15102018-165426/.

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Signal processing is used in a wide variety of applications, ranging from digital image processing to biomedicine. Recently, some tools from signal processing have been extended to the context of graphs, allowing its use on irregular domains. Among others, the Fourier Transform and the Wavelet Transform have been adapted to such context. Graph signal processing (GSP) is a new field with many potential applications on data exploration. In this dissertation we show how tools from graph signal processing can be used for visual analysis. Specifically, we proposed a data filtering method, based on
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37

Prohaska, Steffen. "Skeleton-based visualization of massive voxel objects with network-like architecture." Phd thesis, Universität Potsdam, 2007. http://opus.kobv.de/ubp/volltexte/2007/1488/.

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This work introduces novel internal and external memory algorithms for computing voxel skeletons of massive voxel objects with complex network-like architecture and for converting these voxel skeletons to piecewise linear geometry, that is triangle meshes and piecewise straight lines. The presented techniques help to tackle the challenge of visualizing and analyzing 3d images of increasing size and complexity, which are becoming more and more important in, for example, biological and medical research. Section 2.3.1 contributes to the theoretical foundations of thinning algorithms with a discu
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38

Xie, Kai, and 謝凱. "Volume quantification and visualization for spinal bone cement injection." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2003. http://hub.hku.hk/bib/B29807578.

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39

Del, Rio Nicholas. "Provenance support for quality assessment of scientific results a user study /." To access this resource online via ProQuest Dissertations and Theses @ UTEP, 2007. http://0-proquest.umi.com.lib.utep.edu/login?COPT=REJTPTU0YmImSU5UPTAmVkVSPTI=&clientId=2515.

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40

Doshi, Punit Rameshchandra. "Adaptive prefetching for visual data exploration." Link to electronic thesis, 2003. http://www.wpi.edu/Pubs/ETD/Available/etd-0131103-203307.

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Thesis (M.S.)--Worcester Polytechnic Institute.<br>Keywords: Adaptive prefetching; Large-scale multivariate data visualization; Semantic caching; Hierarchical data exploration; Exploratory data analysis. Includes bibliographical references (p.66-70).
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41

Trümper, Jonas. "Visualization techniques for the analysis of software behavior and related structures." Phd thesis, Universität Potsdam, 2014. http://opus.kobv.de/ubp/volltexte/2014/7214/.

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Software maintenance encompasses any changes made to a software system after its initial deployment and is thereby one of the key phases in the typical software-engineering lifecycle. In software maintenance, we primarily need to understand structural and behavioral aspects, which are difficult to obtain, e.g., by code reading. Software analysis is therefore a vital tool for maintaining these systems: It provides - the preferably automated - means to extract and evaluate information from their artifacts such as software structure, runtime behavior, and related processes. However, such analysi
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42

Choo, Jae gul. "Integration of computational methods and visual analytics for large-scale high-dimensional data." Diss., Georgia Institute of Technology, 2013. http://hdl.handle.net/1853/49121.

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With the increasing amount of collected data, large-scale high-dimensional data analysis is becoming essential in many areas. These data can be analyzed either by using fully computational methods or by leveraging human capabilities via interactive visualization. However, each method has its drawbacks. While a fully computational method can deal with large amounts of data, it lacks depth in its understanding of the data, which is critical to the analysis. With the interactive visualization method, the user can give a deeper insight on the data but suffers when large amounts of data need to be
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43

Vanderhyde, James. "Topology Control of Volumetric Data." Diss., Georgia Institute of Technology, 2007. http://hdl.handle.net/1853/16215.

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Three-dimensional scans and other volumetric data sources often result in representations that are more complex topologically than the original model. The extraneous critical points, handles, and components are called topological noise. Many algorithms in computer graphics require simple topology in order to work optimally, including texture mapping, surface parameterization, flows on surfaces, and conformal mappings. The topological noise disrupts these procedures by requiring each small handle to be dealt with individually. Furthermore, topological descriptions of volumetric data are usefu
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44

Stokes, Todd Hamilton. "Development of a visualization and information management platform in translational biomedical informatics." Diss., Georgia Institute of Technology, 2009. http://hdl.handle.net/1853/33967.

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Translational Biomedical Informatics (TBMI) is an emerging discipline expanding beyond traditional bioinformatics, with a focus on developing computational technologies for real-world biomedical practice. The goal of my Ph.D. research is to address a few key challenges in TBI, including: (1) the high quality and reproducibility required by medical applications when processing high throughput data, (2) the need for knowledge management solutions that allow molecular data to be handled and evaluated by researchers, regulators, and doctors collectively, (3) the need for near real-time, efficient
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45

Trapp, Matthias. "Interactive rendering techniques for focus+context visualization of 3D geovirtual environments." Phd thesis, Universität Potsdam, 2013. http://opus.kobv.de/ubp/volltexte/2013/6682/.

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This thesis introduces a collection of new real-time rendering techniques and applications for focus+context visualization of interactive 3D geovirtual environments such as virtual 3D city and landscape models. These environments are generally characterized by a large number of objects and are of high complexity with respect to geometry and textures. For these reasons, their interactive 3D rendering represents a major challenge. Their 3D depiction implies a number of weaknesses such as occlusions, cluttered image contents, and partial screen-space usage. To overcome these limitations and, thu
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46

Hordemann, Glen J. "Exploring High Performance SQL Databases with Graphics Processing Units." Bowling Green State University / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1380125703.

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47

Mehta, Nishant K. "A Hierarchy Navigation Framework: Supporting Scalable Interactive Exploration over Large Databases." Link to electronic thesis, 2004. http://www.wpi.edu/Pubs/ETD/Available/etd-0827104-114148/.

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48

Bank, Jason Noah. "Propagation of Electromechanical Disturbances across Large Interconnected Power Systems and Extraction of Associated Modal Content from Measurement Data." Diss., Virginia Tech, 2009. http://hdl.handle.net/10919/73008.

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Changes in power system operating conditions cause dynamic changes in angle and frequency. These disturbances propagate throughout the system area with finite speed. This propagation takes the form of a traveling wave whose arrival time at a particular point in the system can be observed using a wide-area measurement system (WAMS). Observations of these waves both through simulation and measurement data have demonstrated several factors that influence the speed at which a disturbance propagates through a system. Results of this testing are presented which demonstrate dependence on generator in
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49

Schintler, Laurie A., and Manfred M. Fischer. "The Analysis of Big Data on Cites and Regions - Some Computational and Statistical Challenges." WU Vienna University of Economics and Business, 2018. http://epub.wu.ac.at/6637/1/2018%2D10%2D28_Big_Data_on_cities_and_regions_untrack_changes.pdf.

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Big Data on cities and regions bring new opportunities and challenges to data analysts and city planners. On the one side, they hold great promise to combine increasingly detailed data for each citizen with critical infrastructures to plan, govern and manage cities and regions, improve their sustainability, optimize processes and maximize the provision of public and private services. On the other side, the massive sample size and high-dimensionality of Big Data and their geo-temporal character introduce unique computational and statistical challenges. This chapter provides overviews on the sal
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50

Kim, Kihwan. "Spatio-temporal data interpolation for dynamic scene analysis." Diss., Georgia Institute of Technology, 2012. http://hdl.handle.net/1853/47729.

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Analysis and visualization of dynamic scenes is often constrained by the amount of spatio-temporal information available from the environment. In most scenarios, we have to account for incomplete information and sparse motion data, requiring us to employ interpolation and approximation methods to fill for the missing information. Scattered data interpolation and approximation techniques have been widely used for solving the problem of completing surfaces and images with incomplete input data. We introduce approaches for such data interpolation and approximation from limited sensors, into the
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