Relevant bibliographies by topics / Ceramics, multidimensional data analysis / Dissertations / Theses
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Dissertations / Theses on the topic 'Ceramics, multidimensional data analysis'

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Published: 14 December 2024

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1

Passuti, Sara. "Electrοn crystallοgrathy οf nanοdοmains in functiοnal materials". Electronic Thesis or Diss., Normandie, 2024. http://www.theses.fr/2024NORMC230.

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L’étude des matériaux fonctionnels se concentre de plus en plus sur des échantillonscaractérisés par des nano-domaines (allant de tailles submicroniques à des dizaines denanomètres) en raison de leurs propriétés physiques intéressantes, telles que celles observéesdans les films minces ou les matériaux céramiques. Lorsqu’il faut déterminer des phases inconnuesou obtenir des informations détaillées sur la structure cristalline de ces matériaux, ladiffraction des rayons X et la microscopie électronique à transmission (MET) se heurtent à desdifficultés. Pour résoudre ce problème, une nouvelle tech
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Westerlund, Per. "Business Intelligence: Multidimensional Data Analysis." Thesis, Umeå universitet, Institutionen för datavetenskap, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-138758.

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The relational database model is probably the most frequently used database model today. It has its strengths, but it doesn’t perform very well with complex queries and analysis of very large sets of data. As computers have grown more potent, resulting in the possibility to store very large data volumes, the need for efficient analysis and processing of such data sets has emerged. The concept of Online Analytical Processing (OLAP) was developed to meet this need. The main OLAP component is the data cube, which is a multidimensional database model that with various techniques has accomplished a
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Duch, Brown Amàlia. "Design and Analysis of Multidimensional Data Structures." Doctoral thesis, Universitat Politècnica de Catalunya, 2004. http://hdl.handle.net/10803/6647.

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Aquesta tesi està dedicada al disseny i a l'anàlisi d'estructures de dades multidimensionals, és a dir, estructures de dades que serveixen per emmagatzemar registres $K$-dimensionals que solen representar-se com a punts en l'espai $[0,1]^K$. Aquestes estructures tenen aplicacions en diverses àrees de la informàtica com poden ser els sistemes d'informació geogràfica, la robòtica, el processament d'imatges, la world wide web, el data mining, entre d'altres. <br/><br/>Les estructures de dades multidimensionals també es poden utilitzar com a indexos d'estructures de dades que emmagatzemen, possibl
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Schroeder, Michael Philipp 1986. "Analysis and visualization of multidimensional cancer genomics data." Doctoral thesis, Universitat Pompeu Fabra, 2014. http://hdl.handle.net/10803/301436.

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Cancer is a complex disease caused by somatic alterations of the genome and epigenome in tumor cells. Increased investments and cheaper access to various technologies have built momentum for the generation of cancer genomics data. The availability of such large datasets offers many new possibilities to gain insight into cancer molecular properties. Within this scope I present two methods that exploit the broad availability of cancer genomic data: OncodriveROLE, an approach to classify mutational cancer driver genes into activating and loss of function mode of actions and MutEx, a statistical m
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Nam, Beomseok. "Distributed multidimensional indexing for scientific data analysis applications." College Park, Md. : University of Maryland, 2007. http://hdl.handle.net/1903/6795.

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Thesis (Ph. D.) -- University of Maryland, College Park, 2007.<br>Thesis research directed by: Computer Science. Title from t.p. of PDF. Includes bibliographical references. Published by UMI Dissertation Services, Ann Arbor, Mich. Also available in paper.
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Palmas, Gregorio. "Visual Analysis of Multidimensional Data for Biomechanics and HCI." Doctoral thesis, KTH, Beräkningsvetenskap och beräkningsteknik (CST), 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-193713.

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Multidimensional analysis is performed in many scientific fields.Its main tasks involve the identification of correlations between data dimensions,the investigation of data clusters, and the identification of outliers. Visualization techniques often help in getting a better understanding. In this thesis, we present our work on improving visual multidimensional analysis by exploiting the semantics of the data and enhancing the perception of existing visualizations. Firstly, we exploit the semantics of the data by creating new visualizations which present visual encodings specifically tailoredto
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7

Odondi, Maurice Jacob. "Multidimensional analysis of successive categories (rating) data by dual scaling." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp02/NQ28031.pdf.

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8

Weherage, Pradeep Peiris. "BigDataCube: Distributed Multidimensional Data Cube Over Apache Spark : An OLAP framework that brings Multidimensional Data Analysis to modern Distributed Storage Systems." Thesis, KTH, Skolan för informations- och kommunikationsteknik (ICT), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-215696.

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Multidimensional Data Analysis is an important subdivision of Data Analytic paradigm. Data Cube provides the base abstraction for Multidimensional Data Analysis and helps in discovering useful insights of a dataset. On-Line Analytical Processing (OLAP) enhanced it to the next level supporting online responses to analytical queries with the underlying technique that precomputes (materializes) the data cubes. Data Cube Materialization is significant for OLAP, but it is an expensive task in term of data processing and storage. Most of the early decision support system benefits the value of multid
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Jernberg, Robert, and Tobias Hultgren. "Flexible Data Extraction for Analysis using Multidimensional Databases and OLAP Cubes." Thesis, KTH, Data- och elektroteknik, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-123393.

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Bright is a company that provides customer and employee satisfaction surveys, and uses this information to provide feedback to their customers. Data from the surveys are stored in a relational database and information is generated both by directly querying the database as well as doing analysis on extracted data. As the amount of data grows, generating this information takes increasingly more time. Extracting the data requires significant manual work and is in practice avoided. As this is not an uncommon issue, there is a substantial theoretical framework around the area. The aim of this degre
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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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Kavasidis, Isaak. "Multifaceted analysis for medical data understanding: from data acquisition to multidimensional signal processing to knowledge discovery." Doctoral thesis, Università di Catania, 2016. http://hdl.handle.net/10761/3925.

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Large quantities of medical data are routinely generated each day in the form of text, images and time signals, making evident the need to develop new methodologies not only for the automatization of the processing and management of such data, but also for the deeper un- derstanding of the concepts hidden therein. The main problem that arises is that the acquired data cannot always be in an appropriate state or quality for quantitative analysis, and further processing is often necessary in order to enable automatic processing and manage- ment as well as to increase the accuracy of the results.
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Jansson, Mattias, and Jimmy Johansson. "Interactive Visualization of Statistical Data using Multidimensional Scaling Techniques." Thesis, Linköping University, Department of Science and Technology, 2003. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-1716.

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<p>This study has been carried out in cooperation with Unilever and partly with the EC founded project, Smartdoc IST-2000-28137. </p><p>In areas of statistics and image processing, both the amount of data and the dimensions are increasing rapidly and an interactive visualization tool that lets the user perform real-time analysis can save valuable time. Real-time cropping and drill-down considerably facilitate the analysis process and yield more accurate decisions. </p><p>In the Smartdoc project, there has been a request for a component used for smart filtering in multidimensional data sets. As
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Jardim, João Pedro Fernandes. "Airports efficiency evaluation based on MCDA and DEA multidimensional tools." Master's thesis, Universidade da Beira Interior, 2012. http://hdl.handle.net/10400.6/2011.

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Airport benchmarking depends on airport operational performance and efficiency indicators, which are important issues for business, operational management, regulatory agencies, airlines and passengers. There are several sets of single and complex indicators to evaluate airports efficiency as well as several techniques to benchmark such infrastructures. The general aim of this work is the development of airport performance and efficiency predictive models using robust but flexible methodologies and incorporating simultaneously traditional indicators (number of movements and passengers, tons of
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Rossi, Rafael Germano. "Análise de componentes principais em data warehouses." Universidade de São Paulo, 2017. http://www.teses.usp.br/teses/disponiveis/45/45134/tde-07012018-182730/.

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A técnica de Análise de Componentes Principais (PCA) tem como objetivo principal a descrição da variância e covariância entre um conjunto de variáveis. Essa técnica é utilizada para mitigar redundâncias no conjunto de variáveis e para redução de dimensionalidade em várias aplicações nas áreas científica, tecnológica e administrativa. Por outro lado, o modelo de dados multidimensionais é composto por relações de fato e dimensões (tabelas) que descrevem um evento usando métricas e a relação entre suas dimensões. No entanto, o volume de dados armazenados e a complexidade de suas dimensões geralme
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Kucuktunc, Onur. "Result Diversification on Spatial, Multidimensional, Opinion, and Bibliographic Data." The Ohio State University, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=osu1374148621.

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16

Ye, Jianguo. "Integrating data models, analysis and multidimensional visualizations : a unified construction project management arena." Thesis, University of British Columbia, 2009. http://hdl.handle.net/2429/18030.

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Recent trends in construction IT have introduced the ability to produce large, comprehensive, and integrated data sets describing each project. With emerging technologies, these data models can be exchanged between the computer tools that have traditionally been used to support the various construction applications. To date, however, it has not been possible for users to interact with the full range of integrated data in a way that allows them to configure custom views as needed to support ongoing management tasks. This barrier to working with integrated project data models can be decomposed i
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Biswas, Ayan. "Uncertainty and Error Analysis in the Visualization of Multidimensional and Ensemble Data Sets." The Ohio State University, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=osu1480605991395144.

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Cochoy, Jérémy. "Decomposability and stability of multidimensional persistence." Thesis, Université Paris-Saclay (ComUE), 2018. http://www.theses.fr/2018SACLS566/document.

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Dans un contexte où des quantités toujours plus colossales de données sont disponibles,extraire des informations significatives et non triviales devient toujours plus difficile. Afin d’améliorer la classification, régression, ou encore l’analyse exploratoire de données, l’approche fournie par l’analyse topologique de données (TDA) est de rechercher la présence de formes dans le jeu de données.Dans cette thèse nous étudions les propriétés des modules de persistance multidimensionnelle dans le but d’obtenir une meilleure compréhension des sommandes et décompositions de ces derniers. Nous introdu
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Sivertun, Åke. "Geographical Information Systems (GIS) as a tool for analysis and communications of multidimensional data." Doctoral thesis, Umeå universitet, Institutionen för geografi och ekonomisk historia, 1993. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-100703.

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An integrating approach, including knowledge about whole systems of processes, is essential in order to reach both development and environmental protection goals. In this thesis Geographical Information Systems (GIS) are suggested as a tool to realise such integrated models. The main hypothesis in this work is that several natural technical and social systems that share a time-space can be compared and analysed in a GIS. My first objective was to analyze how GIS can support research, planning, and, more specifically, bring a broad scattering of competence together in an interdisciplinary proce
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D’Errico, Marco <1974&gt. "Assessing poverty with survey data. Uni-dimensional, multidimensional and resilience poverty analysis in Kenya." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2011. http://amsdottorato.unibo.it/4194/1/marco_derrico_tesi.pdf.

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Traditionally Poverty has been measured by a unique indicator, income, assuming this was the most relevant dimension of poverty. Sen’s approach has dramatically changed this idea shedding light over the existence of many more dimensions and over the multifaceted nature of poverty; poverty cannot be represented by a unique indicator that only can evaluate a specific aspect of poverty. This thesis tracks an ideal path along with the evolution of the poverty analysis. Starting from the unidimensional analysis based on income and consumptions, this research enter the world of multidimensional
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D’Errico, Marco <1974&gt. "Assessing poverty with survey data. Uni-dimensional, multidimensional and resilience poverty analysis in Kenya." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2011. http://amsdottorato.unibo.it/4194/.

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Traditionally Poverty has been measured by a unique indicator, income, assuming this was the most relevant dimension of poverty. Sen’s approach has dramatically changed this idea shedding light over the existence of many more dimensions and over the multifaceted nature of poverty; poverty cannot be represented by a unique indicator that only can evaluate a specific aspect of poverty. This thesis tracks an ideal path along with the evolution of the poverty analysis. Starting from the unidimensional analysis based on income and consumptions, this research enter the world of multidimensional
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Betancourt, Catalina. "Persistence heatmaps for knotted data sets." Diss., University of Iowa, 2018. https://ir.uiowa.edu/etd/6369.

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Topological Data Analysis is a quickly expanding field but one particular subfield, multidimensional persistence, has hit a dead end. Although TDA is a very active field, it has been proven that the one-dimensional persistence used in persistent homology cannot be generalized to higher dimensions. With this in mind, progress can still be made in the accuracy of approximating it. The central challenge lies in the multiple persistence parameters. Using more than one parameter at a time creates a multi-filtration of the data which cannot be totally ordered in the way that a single filtration can.
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Hall, Kristin Wynn. "Multiple Calibrations in Integrative Data Analysis: A Simulation Study and Application to Multidimensional Family Therapy." Scholar Commons, 2013. http://scholarcommons.usf.edu/etd/4686.

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A recent advancement in statistical methodology, Integrative Data Analyses (IDA Curran & Hussong, 2009) has led researchers to employ a calibration technique as to not violate an independence assumption. This technique uses a randomly selected, simplified correlational structured subset, or calibration, of a whole data set in a preliminary stage of analysis. However, a single calibration estimator suffers from instability, low precision and loss of power. To overcome this limitation, a multiple calibration (MC; Greenbaum et al., 2013; Wang et al., 2013) approach has been developed to produce
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Xu, Bing. "Multidimensional approaches to performance evaluation of competing forecasting models." Thesis, University of Edinburgh, 2009. http://hdl.handle.net/1842/4081.

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The purpose of my research is to contribute to the field of forecasting from a methodological perspective as well as to the field of crude oil as an application area to test the performance of my methodological contributions and assess their merits. In sum, two main methodological contributions are presented. The first contribution consists of proposing a mathematical programming based approach, commonly referred to as Data Envelopment Analysis (DEA), as a multidimensional framework for relative performance evaluation of competing forecasting models or methods. As opposed to other performance
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Depalma, Carlos Mariano A. "The role of the thermal contact conductance in the interpretation of laser flash data in fiber-reinforced composites." Thesis, This resource online, 1993. http://scholar.lib.vt.edu/theses/available/etd-10062009-020306/.

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Ntushelo, Nombasa Sheroline. "Exploratory and inferential multivariate statistical techniques for multidimensional count and binary data with applications in R." Thesis, Stellenbosch : Stellenbosch University, 2011. http://hdl.handle.net/10019.1/17949.

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Thesis (MComm)--Stellenbosch University, 2011.<br>ENGLISH ABSTRACT: The analysis of multidimensional (multivariate) data sets is a very important area of research in applied statistics. Over the decades many techniques have been developed to deal with such datasets. The multivariate techniques that have been developed include inferential analysis, regression analysis, discriminant analysis, cluster analysis and many more exploratory methods. Most of these methods deal with cases where the data contain numerical variables. However, there are powerful methods in the literature that also dea
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Nebot, Romero María Victoria. "Scalable methods to analyze Semantic Web data." Doctoral thesis, Universitat Jaume I, 2013. http://hdl.handle.net/10803/396347.

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Semantic Web data is currently being heavily used as a data representation format in scientific communities, social networks, business companies, news portals and other domains. The irruption and availability of Semantic Web data is demanding new methods and tools to efficiently analyze such data and take advantage of the underlying semantics. Although there exist some applications that make use of Semantic Web data, advanced analytical tools are still lacking, preventing the user from exploiting the attached semantics.<br>En la actualidad, tanto entre las comunidades científicas como en las e
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Ding, Guoxiang. "DERIVING ACTIVITY PATTERNS FROM INDIVIDUAL TRAVEL DIARY DATA: A SPATIOTEMPORAL DATA MINING APPROACH." The Ohio State University, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=osu1236777859.

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Dias, Filipa de Carvalho. "Cluster analysis of financial time series data : evidence for portuguese and spanish stock markets." Master's thesis, Instituto Superior de Economia e Gestão, 2017. http://hdl.handle.net/10400.5/14923.

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Mestrado em Mathematical Finance<br>Esta dissertação utilizando a distância de Caiado & Crato (2010) baseada nas autocorrelações, pretende efectuar o agrupamento de séries financeiras temporais. A métrica tenta avaliar o nível de interdependência, tendo por base a previsibilidade dos retornos. A análise de $clusters$ é feita tendo em conta a estrutura hierárquica (dendrograma) e as coordenadas principais calculadas (mapa multidimensional) das séries financeiras. Estas técnicas foram utilizadas para investigar as semelhanças e diferenças entre as empresas dos dois índices ibéricos de mercado de
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Johansson, Peter. "Plant Condition Measurement from Spectral Reflectance Data." Thesis, Linköping University, Computer Vision, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-59286.

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<p>The thesis presents an investigation of the potential of measuring plant condition from hyperspectral reflectance data. To do this, some linear methods for embedding the high dimensional hyperspectral data and to perform regression to a plant condition space have been compared. A preprocessing step that aims at normalized illumination intensity in the hyperspectral images has been conducted and some different methods for this purpose have also been compared.A large scale experiment has been conducted where tobacco plants have been grown and treated differently with respect to watering and n
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Primerano, Ilaria. "A symbolic data analysis approach to explore the relation between governance and performance in the Italian industrial districs." Doctoral thesis, Universita degli studi di Salerno, 2016. http://hdl.handle.net/10556/2179.

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2013 - 2014<br>Nowadays, complex phenomena need to bee analyzed through appropriate statistical methods that allow considering the knowledge hidden behind the classical data structure... [edited by author]<br>XIII n.s.
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YONEDA, Hiroyuki, Ioki HARA, Takeshi FURUHASHI та ін. "可視空間上でのインタラクティブクラスタリングによるマイノリティ発見に関する検討". 日本感性工学会, 2009. http://hdl.handle.net/2237/20849.

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FURUHASHI, Takeshi, Tomohiro YOSHIKAWA, Yosuke WATANABE, 武. 古橋, 大弘 吉川 та 庸佑 渡邉. "アンケートにおける回答の矛盾度・関心度の定量化およびそれらを考慮した解析手法に関する検討". 日本感性工学会, 2010. http://hdl.handle.net/2237/20851.

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Siepka, Damian. "Development of multidimensional spectral data processing procedures for analysis of composition and mixing state of aerosol particles by Raman and FTIR spectroscopy." Thesis, Lille 1, 2017. http://www.theses.fr/2017LIL10188/document.

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Les méthodologies de traitement de données multidimensionnelles peuvent considérablement améliorer la connaissance des échantillons. Les techniques spectroscopiques permettent l’analyse moléculaire avancée d’échantillons variés et complexes. La combinaison des techniques spectroscopiques aux méthodes de chimiométrie trouve des applications dans de nombreux domaines. Les particules atmosphériques affectent la qualité de l’air, la santé humaine, les écosystèmes et jouent un rôle important dans le processus de changement climatique. L’objectif de cette thèse a été de développer des outils de chim
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Siepka, Damian. "Development of multidimensional spectral data processing procedures for analysis of composition and mixing state of aerosol particles by Raman and FTIR spectroscopy." Electronic Thesis or Diss., Lille 1, 2017. http://www.theses.fr/2017LIL10188.

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Les méthodologies de traitement de données multidimensionnelles peuvent considérablement améliorer la connaissance des échantillons. Les techniques spectroscopiques permettent l’analyse moléculaire avancée d’échantillons variés et complexes. La combinaison des techniques spectroscopiques aux méthodes de chimiométrie trouve des applications dans de nombreux domaines. Les particules atmosphériques affectent la qualité de l’air, la santé humaine, les écosystèmes et jouent un rôle important dans le processus de changement climatique. L’objectif de cette thèse a été de développer des outils de chim
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Nunes, Santiago Augusto. "Análise espaço-temporal de data streams multidimensionais." Universidade de São Paulo, 2015. http://www.teses.usp.br/teses/disponiveis/55/55134/tde-17102016-152137/.

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Fluxos de dados são usualmente caracterizados por grandes quantidades de dados gerados continuamente em processos síncronos ou assíncronos potencialmente infinitos, em aplicações como: sistemas meteorológicos, processos industriais, tráfego de veículos, transações financeiras, redes de sensores, entre outras. Além disso, o comportamento dos dados tende a sofrer alterações significativas ao longo do tempo, definindo data streams evolutivos. Estas alterações podem significar eventos temporários (como anomalias ou eventos extremos) ou mudanças relevantes no processo de geração da stream (que resu
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Pagliosa, Lucas de Carvalho. "Visualização e exploração de dados multidimensionais na web." Universidade de São Paulo, 2015. http://www.teses.usp.br/teses/disponiveis/55/55134/tde-08042016-103144/.

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Com o crescimento do volume e dos tipos de dados, a necessidade de analisar e entender o que estes representam e como estão relacionados tem se tornado crucial. Técnicas de visualização baseadas em projeções multidimensionais ganharam espaço e interesse como uma das possíveis ferramentas de auxílio para esse problema, proporcionando um forma simples e rápida de identificar padrões, reconhecer tendências e extrair características antes não óbvias no conjunto original. No entanto, a projeção do conjunto de dados em um espaço de menor dimensão pode não ser suficiente, em alguns casos, para respon
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Krajča, Marek. "Město pro byznys: Vícerozměrná statistická analýza a možné návrhy na zdokonalení projektu." Master's thesis, Vysoká škola ekonomická v Praze, 2014. http://www.nusl.cz/ntk/nusl-193815.

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The main objective of my diploma thesis is multidimensional data analysis. Analyzed data come from the comparative research Město pro byznys 2013 (Eng. translation: The city for business 2013). Another goal is to propose some changes that could improve the project. Used methods for multidimensional data analysis are exploratory analysis, principal component analysis, factor analysis and cluster analysis. Among others, for proposing some changes I use multi-criteria decision analysis.
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Lin, Peng. "IRT vs. factor analysis approaches in analyzing multigroup multidimensional binary data the effect of structural orthogonality, and the equivalence in test structure, item difficulty, & examinee groups /." College Park, Md.: University of Maryland, 2008. http://hdl.handle.net/1903/8468.

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Thesis (Ph. D.) -- University of Maryland, College Park, 2008.<br>Thesis research directed by: Dept. of Measurement, Statistics and Evaluation. Title from t.p. of PDF. Includes bibliographical references. Published by UMI Dissertation Services, Ann Arbor, Mich. Also available in paper.
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Khan, Arif ul Maula [Verfasser], and R. [Akademischer Betreuer] Mikut. "Development of Robust and Efficient Algorithms for Image Processing and Analysis on Multidimensional Image Data using Feedback Concepts with Challenging Applications / Arif ul Maula Khan ; Betreuer: R. Mikut." Karlsruhe : KIT-Bibliothek, 2017. http://d-nb.info/1136660763/34.

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Blanchard, Pierre. "Fast hierarchical algorithms for the low-rank approximation of matrices, with applications to materials physics, geostatistics and data analysis." Thesis, Bordeaux, 2017. http://www.theses.fr/2017BORD0016/document.

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Les techniques avancées pour l’approximation de rang faible des matrices sont des outils de réduction de dimension fondamentaux pour un grand nombre de domaines du calcul scientifique. Les approches hiérarchiques comme les matrices H2, en particulier la méthode multipôle rapide (FMM), bénéficient de la structure de rang faible par bloc de certaines matrices pour réduire le coût de calcul de problèmes d’interactions à n-corps en O(n) opérations au lieu de O(n2). Afin de mieux traiter des noyaux d’interaction complexes de plusieurs natures, des formulations FMM dites ”kernel-independent” ont réc
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Zhang, Wei. "Directed Evolution of Glutathione Transferases with Altered Substrate Selectivity Profiles : A Laboratory Evolution Study Shedding Light on the Multidimensional Nature of Epistasis." Doctoral thesis, Uppsala universitet, Biokemi, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-158400.

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Directed evolution is generally regarded as a useful approach in protein engineering. By subjecting members of a mutant library to the power of Darwinian evolution, desired protein properties are obtained. Numerous reports have appeared in the literature showing the success of tailoring proteins for various applications by this method. Is it a one-way track that protein practitioners can only learn from nature to enable more efficient protein engineering? A structure-and-mechanism-based approach, supplemented with the use of reduced amino acid alphabets, was proposed as a general means for sem
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43

Pan, Jie. "Modélisation et exécution des applications d'analyse de données multi-dimentionnelles sur architectures distribuées." Phd thesis, Ecole Centrale Paris, 2010. http://tel.archives-ouvertes.fr/tel-00579125.

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Des quantités de données colossalles sont générées quotidiennement. Traiter de grands volumes de données devient alors un véritable challenge pour les logiciels d'analyse des données multidimensionnelles. De plus, le temps de réponse exigé par les utilisateurs de ces logiciels devient de plus en plus court, voire intéractif. Pour répondre à cette demande, une approche basée sur le calcul parallèle est une solution. Les approches traditionnelles reposent sur des architectures performantes, mais coûteuses, comme les super-calculateurs. D'autres architectures à faible coût sont également disponib
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44

Richert, Laura. "Trial design and analysis of endpoints in HIV vaccine trials." Thesis, Bordeaux 2, 2013. http://www.theses.fr/2013BOR22048/document.

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Des données complexes sont fréquentes dans les essais cliniques récents et nécessitent des méthodes statistiques adaptées. La recherche vaccinale du VIH est un exemple d’un domaine avec des données complexes et une absence de critères de jugement validés dans les essais précoces. Cette thèse d’Université concerne des recherches méthodologiques sur la conception et les aspects statistiques des essais cliniques vaccinaux du VIH, en particulier sur les critères de jugement d’immunogénicité et les schémas d’essai de phase I-II. A l’aide des données cytokiniques multiplex, nous illustrons les aspec
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45

FERREIRA, MATHEUS C. "Obtenção de fritas vitroceramicas a partir de resíduos sólidos industriais." reponame:Repositório Institucional do IPEN, 2006. http://repositorio.ipen.br:8080/xmlui/handle/123456789/11469.

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Made available in DSpace on 2014-10-09T12:52:14Z (GMT). No. of bitstreams: 0<br>Made available in DSpace on 2014-10-09T14:01:15Z (GMT). No. of bitstreams: 0<br>Dissertacao (Mestrado)<br>IPEN/D<br>Instituto de Pesquisas Energeticas e Nucleares - IPEN/CNEN-SP
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Rusch, Thomas, Patrick Mair, and Kurt Hornik. "COPS Cluster Optimized Proximity Scaling." WU Vienna University of Economics and Business, 2015. http://epub.wu.ac.at/4465/1/COPS.pdf.

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Proximity scaling (i.e., multidimensional scaling and related methods) is a versatile statistical method whose general idea is to reduce the multivariate complexity in a data set by employing suitable proximities between the data points and finding low-dimensional configurations where the fitted distances optimally approximate these proximities. The ultimate goal, however, is often not only to find the optimal configuration but to infer statements about the similarity of objects in the high-dimensional space based on the the similarity in the configuration. Since these two goals are somewhat
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FRIMAIO, AUDREW. "Desenvolvimento de um material cerâmico para utilização em proteção radiológica diagnóstica." reponame:Repositório Institucional do IPEN, 2006. http://repositorio.ipen.br:8080/xmlui/handle/123456789/11414.

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Made available in DSpace on 2014-10-09T12:51:38Z (GMT). No. of bitstreams: 0<br>Made available in DSpace on 2014-10-09T14:08:36Z (GMT). No. of bitstreams: 1 11345.PDF: 3947420 bytes, checksum: a67742a2939ab92c6ea3c83950452caf (MD5)<br>Dissertacao (Mestrado)<br>IPEN/D<br>Instituto de Pesquisas Energeticas e Nucleares - IPEN/CNEN-SP
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Ferreira, Matheus Chianca. "Obtenção de fritas vitrocerâmicas a partir de resíduos sólidos industriais." Universidade de São Paulo, 2006. http://www.teses.usp.br/teses/disponiveis/85/85134/tde-14052012-111305/.

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O resíduo estudado neste trabalho é originado do processo de obtenção de alumínio metálico, de grande interesse no Brasil pelo fato do país ser detentor de algumas das maiores reservas do mineral bauxita no mundo, utilizado como fonte de alumínio. Tendo como estratégia a geração de resíduo zero, colaborando para as tecnologias ambientalmente amigáveis, este trabalho estuda a incorporação de um resíduo resultante da recuperação de alumínio presente na escória gerada durante o processo de produção primária do alumínio metálico, por plasma térmico. Utilizando-se o diagrama de equilíbrio de fases
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49

Voillet, Valentin. "Approche intégrative du développement musculaire afin de décrire le processus de maturation en lien avec la survie néonatale." Thesis, Toulouse, INPT, 2016. http://www.theses.fr/2016INPT0067/document.

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Depuis plusieurs années, des projets d'intégration de données omiques se sont développés, notamment avec objectif de participer à la description fine de caractères complexes d'intérêt socio-économique. Dans ce contexte, l'objectif de cette thèse est de combiner différentes données omiques hétérogènes afin de mieux décrire et comprendre le dernier tiers de gestation chez le porc, période influençant la mortinatalité porcine. Durant cette thèse, nous avons identifié les bases moléculaires et cellulaires sous-jacentes de la fin de gestation, en particulier au niveau du muscle squelettique. Ce tis
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Roussafi, Ferdaous. "La territorialisation des énergies renouvelables en France." Thesis, Normandie, 2019. http://www.theses.fr/2019NORMC045.

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La transition énergétique vers des énergies bas-carbone est aujourd’hui un paradigme dominant des politiques publiques liées à l’énergie. Elle constitue un axe de travail central pour les régions françaises. L’évolution de leur rapport à l’énergie se situe à la fois en situation de filiation avec les expériences européennes et se place dans le sillage d’une incitation nationale à la transition.Cette thèse a pour objectif d’étudier la territorialisation de la production des énergies renouvelables (EnR) selon ses différentes origines (biomasse, solaire, géothermie, éolien et hydraulique). Nous p
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