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Dissertations / Theses on the topic 'Data with gaps'

Author: Grafiati
Published: 30 May 2022
Last updated: 31 July 2025

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1

Pinell, Graciela Tejada. "Spatial assessment of data gaps for estimating biomass across the brazilian Amazon." Instituto Nacional de Pesquisas Espaciais (INPE), 2017. http://urlib.net/sid.inpe.br/mtc-m21b/2017/06.16.22.29.

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Amazon forest provides fundamental ecosystem services such as biodiversity conservation, water cycling and carbon sequestration. Given the large extent of Brazilian forests, 75% of the Amazon Basin, there is great uncertainty in the storage of aboveground biomass (AGB) carbon stocks. There is a significant difference between AGB estimates and an urgent need to improve AGB estimates to support the National Communications (NC) of Brazil to the United Nations Framework Convention on Climate Change and Reducing Emissions from Deforestation and Degradation (REDD+). Whether for NC, REDD+ or for the
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Pham, Cuong Q. "Product evaluation: Can systems thinking be applied to identify gaps in the knowledge generation process?" Thesis, Griffith University, 2020. http://hdl.handle.net/10072/394682.

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Research serves to increase the already known stock of knowledge (Salter & Kothari, 2016). Research may seek to address goals such as establishing/confirming facts, reaffirming results, solving new/existing problems or examining/supporting/developing theorems (Antwi & Hamza, 2015). The outcomes obtained through research aids decision makers, who in turn can act upon knowledge generated (Kothari, MacLean, & Edwards, 2009). In seeking further knowledge, a variety of methodologies are available to researchers (Bayley & Phipps, 2019; Karami, Rowley, & Analoui, 2006). The literature acknowledges re
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McHugh, Alyson Elizabeth. "Missing baseline information for British Columbia's forests : can timber cruise data fill some gaps?" Thesis, University of British Columbia, 2008. http://hdl.handle.net/2429/778.

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Assessing trends in forest ecosystems requires a thorough understanding of a benchmark or condition against which changes can be measured. Timber cruise information is a valuable source of baseline data, and has potential to be used in monitoring the effectiveness of management actions taken to maintain biodiversity and other societal values during and after harvesting. The objective of this study was to assess the efficacy of using these data as baseline information in FREP (Forest and Range Evaluation Program) Stand Level Biodiversity (SLB) assessments. Using three different data sources
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Maggini, Ramona. "Species distribution models for conservation-oriented studies in Switzerland: filling data and tool gaps." Thesis, University of Lausanne, Switzerland, 2011. https://serval.unil.ch/notice/serval:BIB_16EF29C539B2.

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Species distribution models (SDMs) represent nowadays an essential tool in the research fields of ecology and conservation biology. By combining observations of species occurrence or abundance with information on the environmental characteristic of the observation sites, they can provide information on the ecology of species, predict their distributions across the landscape or extrapolate them to other spatial or time frames. The advent of SDMs, supported by geographic information systems (GIS), new developments in statistical models and constantly increasing computational capacities, has revo
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Xiang, Yun. "Ethnic differences in achievement growth: Longitudinal data analysis of math achievement in a hierarchical linear modeling framework." Thesis, Boston College, 2009. http://hdl.handle.net/2345/676.

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Thesis advisor: Henry Braun<br>Given the call for greater understanding of racial inequality in student achievement in K-12 education, this study contributes a comprehensive, quantitative, longitudinal examination of the achievement gap phenomenon, with particular attention to the organization characteristics of schools and school districts. Employing data from a large number of districts in a single state, it examines the trends in achievement and the growth in achievement after the passage of NCLB. It focuses on mathematics performance from grade 6 to grade 8. Both a traditional descriptive
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Gyau-Boakye, Philip. "Filling gaps in hydrological runoff data series in West-Africa = Ergänzung lückenhafter Abflussreihen in West-Afrika /." Bochum : Ruhr-Univ, 1993. http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&doc_number=006430220&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA.

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Guttieres, Donovan G. "Closing gaps in global access to biologic medicines : building tools to evaluate innovations in biomanufacturing." Thesis, Massachusetts Institute of Technology, 2018. http://hdl.handle.net/1721.1/117892.

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Thesis: S.M. in Technology and Policy, Massachusetts Institute of Technology, School of Engineering, Institute for Data, Systems, and Society, Technology and Policy Program, 2018.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 127-134).<br>Low-and-Middle Income Countries (LMICs) are experiencing a growing need for safe, effective, and affordable health services, especially medicines. Such trends are in part due to a continued epidemiologic transition from infectious to chronic, non-communicable diseases (NCDs). Today, NCDs account for a large portion of
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Hofuku, Yoyoi, Shinya Cho, Tomohiro Nishida, and Susumu Kanemune. "Why is programming difficult? : proposal for learning programming in “small steps” and a prototype tool for detecting “gaps”." Universität Potsdam, 2013. http://opus.kobv.de/ubp/volltexte/2013/6445/.

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In this article, we propose a model for an understanding process that learners can use while studying programming. We focus on the “small step” method, in which students learn only a few concepts for one program to avoid having trouble with learning programming. We also analyze the difference in the description order between several C programming textbooks on the basis of the model. We developed a tool to detect “gaps” (a lot of concepts to be learned in a program) in programming textbooks.
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Feighan, Kelly. "A QUANTITATIVE ANALYSIS OF MARITAL AGE GAPS IN THE U.S. BETWEEN 1970 AND 2014." Diss., Temple University Libraries, 2018. http://cdm16002.contentdm.oclc.org/cdm/ref/collection/p245801coll10/id/494818.

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Sociology<br>Ph.D.<br>Measuring spouses’ ages allows us to explore larger sociological issues about marriage, such as whether narrowing gaps signal gender progress or if a rise in female-older unions reveals a status change. Using Census and American Community Survey data, I test the merits of beauty-exchange and status homogamy theories as explanations for how heterosexual marital age gaps changed over a 40-year period of social and economic revolution. Analyses address questions about how age gaps compared for people with different characteristics, whether similarly aged couples exhibited gr
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Blomberg, Madeleine. "Biggest Skills Needs & Gaps : Case Study of Sandvik Coromant & Microsoft." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-300053.

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In our increasingly digital age, the pace of digital transformation requires continuous learning. Microsoft CEO Satya Nadella put it simply when wanting Microsoft to transition from a culture of "know-it-all" to a culture of "learn-it-all". The most valuable commodity for leaders to do is to set an example for lifelong learning and to find opportunities to encourage others to do the same, allowing each employee to take responsibility for skilling up [18]. This study identifies prioritized skills and assesses what skills gaps exist from these. A maturity framework is developed to measure the le
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Nordström, Fanny, and Claudia Järvelä. "Digital Competencies and Data Literacy in Digital Transformations : Experience from the Technology Consultants." Thesis, Uppsala universitet, Företagsekonomiska institutionen, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-450947.

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The digital revolution is challenging both individuals and organizations to be more comfortable using various digital technologies. Digital technologies enable and generate high amounts of data, but people are not very good at interpreting or making sense of it. This study aimed to explore the role of digital competencies and data literacy in digital transformations and identify the consequences the lack of digital competencies and data literacy can cause within digital transformation projects. The authors studied technology consultants' perspectives with experience in digital transformation p
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Irfan, Kamran. "Adaptation of the generic crop model STICS for rice (Oryza sativa L.) using farm data in Camargue." Thesis, Aix-Marseille, 2013. http://www.theses.fr/2013AIXM4355.

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Le modèle de culture STICS a été adapté pour la culture du riz inondé et la capacité de prédiction du modèle a été évaluée pour la simulation de la biomasse à la récolte et du rendement en grains. La base de données utilisée pour ce travail résulte de la collecte de données au champ sur des parcelles en Camargue (sud-Est de la France) gérées par les agriculteurs. Pour la modélisation, ne disposant que très peu de données d’expérimentation, une procédure originale d’utilisation des données obtenues à la ferme a été développée. Ce travail est composé de trois phases: (i) une analyse de la base d
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Pereira, Cíntia Marques. "Challenges in flex binning ultra high resolution seismic reflection data." Master's thesis, Universidade de Aveiro, 2017. http://hdl.handle.net/10773/21923.

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Mestrado em Engenharia Geológica<br>Os dados sísmicos 3D podem conter “lacunas” de cobertura devido a diversos problemas operacionais. As “lacunas” em dados 3D podem causar impactos adversos em várias etapas do processamento de dados, tais como na análise de velocidade, atenuação dos múltiplos, “stack” e migração. O Flex Binning é um método expediente para resolver este problema. O método Flex Binning permite que cada bin contenha mais traços, aumentando o tamanho efectivo de cada bin e incluindo traços dos bins vizinhos. O desafio é aplicar o Flex Binning a um número muito grande de traços qu
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Lundström, Lukas. "Weather data for building simulation : New actual weather files for North Europe combining observed weather and modeled solar radiation." Thesis, Mälardalens högskola, Akademin för hållbar samhälls- och teknikutveckling, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-16446.

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Dynamic building simulation is increasingly necessary for accurately quantifying potential energy savings measures in retrofit projects, to compliant with new stricter directives from EU implanted into member states legislations and building codes. For good result the simulation model need to be accurately calibrated. This requires actual weather data, representative for the climate surrounding the given building, in order to calibrate against actual energy bills of the same period of time. The main objective of this degree project is to combine observed weather (temperature, humidity, wind et
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Bien, Nicole Ma. "Primary school achievement gaps and school decisions to support the academic achievement of disadvantaged students with data: A cross-country comparative study." Thesis, The University of Sydney, 2016. http://hdl.handle.net/2123/15742.

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Reducing the academic disadvantage of all students is a significant educational goal for many countries. Increasingly, education reforms around the world, including those in Australia and the United States have sought to reduce achievement gaps by adopting a strategy of embedding accountability anchored by standardised assessment. Whether to meet federal and state educational requirements, to provide transparency to the general public, or to inform curriculum and instruction at individual schools, policy makers rely on assessment data and data-driven practice to make a difference. Although ext
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Goodman, Seth. "Filling In The Gaps: Applications Of Deep Learning, Satellite Imagery, And High Performance Computing For The Estimation And Distribution Of Geospatial Data." W&M ScholarWorks, 2020. https://scholarworks.wm.edu/etd/1616444509.

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Many regions around the world suffer from a lack of authoritatively-collected data on factors critical to understanding human well-being. This challenges our ability to understand the progress society is making towards reducing poverty, improving lifespans, or otherwise improving livelihoods. A growing body of research is exploring how deep learning algorithms can be used to produce novel estimates of sparse development data, and how access to such data can impact development efforts. This dissertation contributes to this literature in three parts. First, using Landsat 8 satellite imagery and
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Manyanga, Taru. "Examining Lifestyle Behaviours and Weight Status of Primary Schoolchildren: Using Mozambique to Explore the Data Gaps in Low- and Middle-Income Countries." Thesis, Université d'Ottawa / University of Ottawa, 2019. http://hdl.handle.net/10393/39711.

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The emergency of malnutrition, in all of its forms, and physical inactivity among children and adolescents as serious public health challenges, especially in resource-limited low- and middle-income countries is concerning and requires attention. Data on the prevalence of unhealthy weight status and levels of physical inactivity among children and adolescents in these low- and middle-income countries are limited, not systematically collected nor are they well documented. Accurate prevalence estimates, and an informed understanding of the relationships among movement behaviours and weight status
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Salem, Nidal Eleanor. "Using Design Thinking to Explore Millennial Segmentation Gaps and Improve Relevancy within Cuyahoga Valley National Park." Kent State University / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=kent1524496515760127.

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Homanen, Malin, and Therese Karlsson. "Kunskapsskillnaderna mellan IT och Redovisning och dess påverkan på redovisningsdatakvalitet : en kvalitativ studie på ett av de största bemanningsföretagen i Sverige och i världen." Thesis, Södertörns högskola, Företagsekonomi, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:sh:diva-38932.

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Det oundvikliga beroendet av digitalisering och IT-system i dagens verksamheter och organisationer ställer krav på dagens arbetskraft att öka sina IT-kunskaper för att kunna integrera och kommunicera med nya datasystem för en mer effektiv verksamhet. Inte minst lika viktigt blir det för redovisningsekonomer som sköter verksamhetens finansiella redovisning då de måste kunna säkerställa att den redovisningsdata som framställs och levereras med hjälp av IT är felfri och uppnår kvalitet. Bristen på kunskap inom IT kan riskera att fel i redovisningsdata inte upptäcks och därmed påverkar redovisning
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Diazgranados, Ferrans Silvia. "The Civic Knowledge Gaps in Chile, Colombia and Mexico: An Application of the Oaxaca-Blinder Decomposition Method Using Data From the 2009 International Civic and Citizenship Education Study (ICCS)." Thesis, Harvard University, 2016. http://nrs.harvard.edu/urn-3:HUL.InstRepos:27112704.

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The existence of significant differences in the civic knowledge, civic attitudes and civic skills of young people from different socio-economic (SES) backgrounds represent civic competence gaps that affect their ability to act as personally responsible, participatory and justice-oriented citizens in their society (Carretero et al, 2016; MEN, 2004; Westheimer & Kahne, 2004). Identifying civic competence gaps, their magnitude, and the factors that account for them should be a priority for researchers, policy-makers and educators in Latin America because they can threaten the strength, stability
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Yang, Liqiang. "Statistical Inference for Gap Data." NCSU, 2000. http://www.lib.ncsu.edu/theses/available/etd-20001110-173900.

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<p>This thesis research is motivated by a special type of missing data - Gap Data, which was first encountered in a cardiology study conducted at Duke Medical School. This type of data include multiple observations of certain event time (in this medical study the event is the reopenning of a certain artery), some of them may have one or more missing periods called ``gaps'' before observing the``first'' event. Therefore, for those observations, the observed first event may not be the true first event because the true first event might have happened in one of the missing gaps. Due to this kind o
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Lejarza, Lander. "Gas Data Acquisition using Arduino." Thesis, Högskolan i Gävle, Elektronik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-24607.

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The aim of this project is to acquire gas data using an Arduino microcontroller. This project is part of a bigger project called The electronic nose where mechanical, thermal, electrical, electronic and software parts work together. It is the continuation of a project handled before where mainly the mechanical, thermal and electrical parts were done.   The whole e-Nose project is divided in 4 main subcategories: general mechanical structure, thermal and piston electric circuit, gas sensors and software. My work will be focused in the last two subcategories of the general project.   The sample
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Ding, Wenzhong. "Analysis of data from a restricted-entry well /." Access abstract and link to full text, 1989. http://0-wwwlib.umi.com.library.utulsa.edu/dissertations/fullcit/9015983.

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Najeh, Houda. "Diagnostic du système bâtiment : nouveaux défis." Thesis, Université Grenoble Alpes (ComUE), 2019. http://www.theses.fr/2019GREAT110.

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Le diagnostic des défauts et la maintenance d'un système bâtiment est une tâche complexe à effectuer. Les outils existants pour la détection et le diagnostic de défauts dans les bâtiments permettent d'effectuer cette détection à l'aide d'une analyse des contraintes comportementales.La thèse de Mahendra Pratap Singh propose le concept de tests hétérogènes avec des contraintes de validité dans le contexte du diagnostic de défauts dans les bâtiments, mais l'approche proposée suppose que les capteurs sont fiables et ne s'intéresse qu'aux processus thermo-aérauliques et aux systèmes de chauffage. L
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Lacan, Alice. "Transcriptomics data generation with deep generative models." Electronic Thesis or Diss., université Paris-Saclay, 2025. http://www.theses.fr/2025UPASG010.

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Cette thèse explore l'utilisation de modèles génératifs profonds pour améliorer la génération de données transcriptomiques, répondant aux défis de rareté des données dans la classification de phénotypes de cancers. Nous évaluons la capacité des Autoencodeurs Variationnels (VAEs), des Réseaux Antagonistes Génératifs (GANs) et des modèles de diffusion (DDPM/DDIM) à équilibrer réalisme et diversité sur des données tabulaires de haute dimension. Nous avons d'abord adapté des métriques d'évaluation, supervisées et non supervisées. Nous avons ensuite intégré un moduled'auto-attention basé sur les conn
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Sciaraffa, Rocco. "A Reconfigurable Device for GALS Systems." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-235712.

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Globally Asynchronous Locally Synchronous (GALS) Field-Programmable Gate Array (FPGA) are composed of standard synchronous reconfigurable logic islands that communicate with each other via an asynchronous means. Past research into fully asynchronous FPGA has demonstrated high throughput and reliability adopting dual-rail encoding. GALS FPGAs have been proposed, relying on bundled-data encoding and fixed asynchronous communication between synchronous islands. This thesis proposes a new GALS FPGA architecture with fully reconfigurable asynchronous fabric, that relies on coarse-grained Configurab
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McCaffrey, Philip D. "Equilibrium structures from gas-phase electron-diffraction data." Thesis, University of Edinburgh, 2007. http://hdl.handle.net/1842/2601.

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For the past 75 years gas-phase electron diffraction (GED) has remained the most valuable technique for determining structures of small molecules, free from intermolecular interactions. Throughout this period many improvements have been made to both the experimental and theoretical aspects of this technique, leading to the determination of more accurate structures. As the uncertainties associated with many stages of the process have been greatly reduced, errors introduced by assumptions, which were previously neglected, now play an important role in the overall accuracy of the determined struc
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Sundin, Daniel. "Natural gas storage level forecasting using temperature data." Thesis, Linköpings universitet, Produktionsekonomi, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-169856.

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Even though the theory of storage is historically a popular view to explain commodity futures prices, many authors focus on the oil price link. Past studies have shown an increased futures price volatility on Mondays and days when natural gas storage levels are released, which could both implicate that storage levels and temperature data are incorporated in the prices. In this thesis, the U.S. natural gas storage level change is studied as a function of the consumption and production. Consumption and production are furthered segmented and separately forecasted by modelling inverse problems tha
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Johnson, Kevin J. "Strategies for chemometric analysis of gas chromatographic data /." Thesis, Connect to this title online; UW restricted, 2003. http://hdl.handle.net/1773/8513.

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Buba, Ibrahim Muhammad. "Direct estimation of gas reserves using production data." Texas A&M University, 2003. http://hdl.handle.net/1969/153.

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Carvalho, Ana Margarida de Almeida Bastos. "Support of operational processes in the Data Warehouse: the gap between theory and practice." Master's thesis, Instituto Superior de Economia e Gestão, 2007. http://hdl.handle.net/10400.5/3701.

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Mestrado em Gestão de Sistemas de Informação<br>Data Warehouses have been traditionally accepted as a subject-oriented, integrated, non-volatile, time-variant collection of data in support of management's decisions. They support the process of top and middle management decision-making and the organization's strategic planning processes. Their use to support operational data requirements as well has been somehow controversial by being either supported or criticized by different authors. This thesis focuses on the identification, for a Data Warehouse containing some level of operational activiti
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Neal, P. M. "Data acquisition for turbomachinery (MORDAS)." Thesis, University of Oxford, 1994. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.282719.

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Karlsson, Christoffer. "Control of critical data flows : Automated monitoring of insurance data." Thesis, KTH, Skolan för elektro- och systemteknik (EES), 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-187733.

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EU insurance companies work on implementing the Solvency II directive, which calls for stronger focus on data quality and information controls. Information controls are procedures that can validate data at rest and data in motion to detect errors and anomalies. In this master thesis a case study was carried out at AMF, a Swedish pension insurance company, to identify and investigate their critical data flows and the controls performed in the respective flows. A purpose of this project is to help AMF ensure data quality requirements from the Financial Supervisory Authority that they have to ful
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Yellapantula, Sudha Ravali. "Synthesizing Realistic Data for Vision Based Drone-to-Drone Detection." Thesis, Virginia Tech, 2019. http://hdl.handle.net/10919/91460.

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In the thesis, we aimed at building a robust UAV(drone) detection algorithm through which, one drone could detect another drone in flight. Though this was a straight forward object detection problem, the biggest challenge we faced for drone detection is the limited amount of drone images for training. To address this issue, we used Generative Adversarial Networks, CycleGAN to be precise, for the generation of realistic looking fake images which were indistinguishable from real data. CycleGAN is a classic example of Image to Image Translation technique, and we this applied in our situation wher
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Nicholson, Alexander. "Rapid adaptive programming using image data." Access electronically, 2005. http://www.library.uow.edu.au/adt-NWU/public/adt-NWU20051104.151041/index.html.

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Kumar, Gaurev. "Data-driven models for reliability prognostics of gas turbines." Thesis, Massachusetts Institute of Technology, 2015. http://hdl.handle.net/1721.1/106960.

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Thesis: S.M., Massachusetts Institute of Technology, School of Engineering, Center for Computational Engineering, Computation for Design and Optimization Program, 2015.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 69-70).<br>This thesis develops three data-driven models of a commercially operating gas turbine, and applies inference techniques for reliability prognostics. The models focus on capturing feature signals (continuous state) and operating modes (discrete state) that are representative of the remaining useful life of the solid welded rotor. Th
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Lam, Yan-ki Jacky. "Developmental normative data for the random gap detection test." Click to view the E-thesis via HKU Scholors Hub, 2005. http://lookup.lib.hku.hk/lookup/bib/B38279289.

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Thesis (B.Sc)--University of Hong Kong, 2005.<br>"A dissertation submitted in partial fulfilment of the requirements for the Bachelor of Science (Speech and Hearing Sciences), The University of Hong Kong, June 30, 2005." Also available in print.
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Hussain, Etikaf. "Transit spatial gap identification: Exploiting big transit and traffic data." Thesis, Queensland University of Technology, 2022. https://eprints.qut.edu.au/229971/1/Etikaf_Hussain_Thesis.pdf.

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This PhD exploits the big datasets from the road transport network to accurately model the transit supply and demand, the knowledge for which is used to identify evidence-based transit gaps. The effectiveness of the proposed novel modelling is demonstrated with the case study on the Brisbane network. The developed tool assists transit stakeholders in identifying regions where transit services can be significantly improved, leading to efficient and reliable transit services.
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Alirezaie, Marjan. "Bridging the Semantic Gap between Sensor Data and Ontological Knowledge." Doctoral thesis, Örebro universitet, Institutionen för naturvetenskap och teknik, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-45908.

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The rapid growth of sensor data can potentially enable a better awareness of the environment for humans. In this regard, interpretation of data needs to be human-understandable. For this, data interpretation may include semantic annotations that hold the meaning of numeric data. This thesis is about bridging the gap between quantitative data and qualitative knowledge to enrich the interpretation of data. There are a number of challenges which make the automation of the interpretation process non-trivial. Challenges include the complexity of sensor data, the amount of available structured knowl
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BARRETO, GISELE DE OLIVEIRA. "MASS BALANCE DATA RECONCILIATION OF THE URUCU- MANAUS GAS PIPELINE." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2015. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=26316@1.

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PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO<br>COORDENAÇÃO DE APERFEIÇOAMENTO DO PESSOAL DE ENSINO SUPERIOR<br>PROGRAMA DE SUPORTE À PÓS-GRADUAÇÃO DE INSTS. DE ENSINO<br>Se por um lado à privatização do setor de energia, que induz acirrada concorrência, tem estimulado a inovação tecnológica e a adoção de mecanismos de incentivos à eficiência operacional, a regulação do mercado introduz mecanismos de controle requerendo maior responsabilidade no uso consciente da energia de sorte a assegurar a eficiência energética e a proteção ambiental. Pressões de organizações ambientalistas internaci
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Bährecke, Niklas. "Automatic Classification and Visualisation of Gas from Infrared Video Data." Thesis, KTH, Skolan för teknik och hälsa (STH), 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-183546.

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Optical gas imaging denotes the visualisation of gases by means of an infrared camera, which allows operators to quickly, easily, and safely scan a large area and therefore plays a major role in the early detection and repair of gas leaks in various environments within the petrochemical industry such as processing plants and pipelines, but also in production facilities and hospitals. Thereby they help to avert damage to the environment as well as to health and safety of workers or inhabitants of nearby residential areas. The current generation of thermal gas cameras employs a so-called high-se
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42

Groero, Jaroslav. "East and West Germany after the Unification: The Wage Gap Analysis." Master's thesis, Vysoká škola ekonomická v Praze, 2014. http://www.nusl.cz/ntk/nusl-193373.

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Under socialism workers had their wages set by the central planners.. In my thesis I use panel data from SHARLIFE questionnaire in order to analyze how returns to East German human capital variables changed after the reunification in 1990.I also compare these returns to West German returns to human capital variables. Before 1990 the returns to experience and education were lower in East Germany than in West Germany. After the reunification East German returns to experience obtained before 1990 and to education decreased. I find a significant decrease of returns to high educated workers who spe
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Nandakumar, Neha. "Computational models of natural gas markets for gas-fired generators." Thesis, Massachusetts Institute of Technology, 2016. http://hdl.handle.net/1721.1/108213.

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Thesis: S.M. in Technology and Policy, Massachusetts Institute of Technology, School of Engineering, Institute for Data, Systems, and Society, Technology and Policy Program, 2016.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 69-72).<br>Climate change is a major factor reforming the world's energy landscape today, and as electricity consumes 40% of total energy, huge efforts are being undertaken to reduce the carbon footprint within the electricity sector. The electric sector has been taking steps to reform the grid, retiring carbon-intensive coal plant
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Kahn, Daniel Scott. "The Blake Ridge a study of multichannel seismic reflection data /." Thesis, Available online, Georgia Institute of Technology, 2004:, 2004. http://etd.gatech.edu/theses/available/etd-06072004-131223/unrestricted/kahn%5Fdaniel%5Fs%5F200405%5Fms.pdf.

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van, Rijswijk David G. "An Automated Script to Acquire Gas Uptake Data from Molecular Simulation of Metal Organic Frameworks." Thèse, Université d'Ottawa / University of Ottawa, 2012. http://hdl.handle.net/10393/22728.

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Attention worldwide has been placed towards reducing the global carbon footprint. To this end the scientific community has been involved in improving many of the available methods of carbon capture and storage (CCS). CCS involves scrubbing flue gases of greenhouse gases and safely storing them deep underground. MOFs, a family of functionally tunable three dimensional nanoporous frameworks, have been shown to adsorb gases with great selectivity and capacity. Investigating these frameworks using computational simulations, although faster than in-lab synthetic methods, involves a tedious and meti
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Nimblett, Jillian Nicole. "Characterizing the accumulation and distribution of gas hydrate in marine sediments using numerical models and seismic data." Diss., Available online, Georgia Institute of Technology, 2004:, 2003. http://etd.gatech.edu/theses/available/etd-04072004-180126/unrestricted/nimblett%5Fjillian%5Fn%5F200312%5Fphd.pdf.

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Nelson, Wade, and Diana Shurtleff. "Bridging The Gap Between Telemetry and the PC." International Foundation for Telemetering, 1988. http://hdl.handle.net/10150/615216.

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International Telemetering Conference Proceedings / October 17-20, 1988 / Riviera Hotel, Las Vegas, Nevada<br>The explosive use and extensive development of software and hardware for the IBM PC and PC Clones over the past few years has positioned the PC as one of many viable alternatives to system designers configuring systems for both data acquisition and data analysis. Hardware abounds for capturing signals to be digitized and analyzed by software developed for the PC. Communication software has improved to where system developers can easily link instrumentation devices together to form inte
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Bansal, Reeshidev. "Discrimination and Enhancement of Fracture Signals on Surface Seismic Data." Thesis, Virginia Tech, 2003. http://hdl.handle.net/10919/33336.

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Fracture patterns control flow and transport properties in a tight gas reservoir and therefore play a great role in siting the production wells. Hence, it is very important that the exact location and orientation of fractures or fracture swarms is known. Numerical models show that the fractures may be manifested on seismograms as discrete events.A number of data processing workflows were designed and examined to enhance these fracture signals and to suppress the reflections in seismic data. The workflows were first tested on a 2D synthetic data set, and then applied to 3D field data from the
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Mattila, Marianne. "Synthetic Image Generation Using GANs : Generating Class Specific Images of Bacterial Growth." Thesis, Linköpings universitet, Institutionen för datavetenskap, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-176402.

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Mastitis is the most common disease affecting Swedish milk cows. Automatic image classification can be useful for quickly classifying the bacteria causing this inflammation, in turn making it possible to start treatment more quickly. However, training an automatic classifier relies on the availability of data. Data collection can be a slow process, and GANs are a promising way to generate synthetic data to add plausible samples to an existing data set. The purpose of this thesis is to explore the usefulness of GANs for generating images of bacteria. This was done through researching existing l
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Park, Soyoun. "Penalized method based on representatives and nonparametric analysis of gap data." Diss., Georgia Institute of Technology, 2010. http://hdl.handle.net/1853/37307.

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When there are a large number of predictors and few observations, building a regression model to explain the behavior of a response variable such as a patient's medical condition is very challenging. This is a "p ≫n " variable selection problem encountered often in modern applied statistics and data mining. Chapter one of this thesis proposes a rigorous procedure which groups predictors into clusters of "highly-correlated" variables, selects a representative from each cluster, and uses a subset of the representatives for regression modeling. The proposed Penalized method based on Representativ
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