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Relevant bibliographies by topics / Multiscale Data Analysis / Dissertations / Theses

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Dissertations / Theses on the topic 'Multiscale Data Analysis'

Author: Grafiati

Published: 5 June 2025

Last updated: 2 August 2025

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1

Shen, Xilin. "Multiscale analysis of high dimensional data." Connect to online resource, 2007. http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:3284443.

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2

Buch, Alok K. "An online strategy for wavelet based analysis of multiscale sensor data." [Tampa, Fla.] : University of South Florida, 2004. http://purl.fcla.edu/fcla/etd/SFE0000312.

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3

CORBETTA, ALESSANDRO. "Multiscale Crowd Dynamics: Physical Analysis, Modeling and Applications." Doctoral thesis, Politecnico di Torino, 2016. http://hdl.handle.net/11583/2659720.

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In this thesis we investigate the dynamics of pedestrian crowds in a fundamental and applied perspective. Envisioning a quantitative understanding we employ ad hoc large-scale experimental measurements as well as analytic and numerical models. Moreover, we analyze current regulations in matter of pedestrians structural actions (structural loads), in view of the need of guaranteeing pedestrian safety in serviceable built environments. This work comes in three complementary parts, in which we adopt distinct perspectives and conceptually different tools, respectively from statistical phy

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MASPERO, DAVIDE. "Computational strategies to dissect the heterogeneity of multicellular systems via multiscale modelling and omics data analysis." Doctoral thesis, Università degli Studi di Milano-Bicocca, 2022. http://hdl.handle.net/10281/368331.

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L'eterogeneità pervade i sistemi biologici e si manifesta in differenze strutturali e funzionali osservate sia tra diversi individui di uno stesso gruppo (es. organismi o patologie), sia fra gli elementi costituenti di un singolo individuo (es. cellule). Lo studio dell’eterogeneità dei sistemi biologici e, in particolare, di quelli multicellulari è fondamentale per la comprensione meccanicistica di fenomeni fisiologici e patologici complessi (es. il cancro), così come per la definizione di strategie prognostiche, diagnostiche e terapeutiche efficaci. Questo lavoro è focalizzato sullo svilupp

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Hamilton, Erin Kinzel. "Multiscale and meta-analytic approaches to inference in clinical healthcare data." Diss., Georgia Institute of Technology, 2013. http://hdl.handle.net/1853/47600.

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The field of medicine is regularly faced with the challenge of utilizing information that is complicated or difficult to characterize. Physicians often must use their best judgment in reaching decisions or recommendations for treatment in the clinical setting. The goal of this thesis is to use innovative statistical tools in tackling three specific challenges of this nature from current healthcare applications. The first aim focuses on developing a novel approach to meta-analysis when combining binary data from multiple studies of paired design, particularly in cases of high heterogeneity bet

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Koc, Birgul. "Numerical Analysis for Data-Driven Reduced Order Model Closures." Diss., Virginia Tech, 2021. http://hdl.handle.net/10919/103202.

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This dissertation contains work that addresses both theoretical and numerical aspects of reduced order models (ROMs). In an under-resolved regime, the classical Galerkin reduced order model (G-ROM) fails to yield accurate approximations. Thus, we propose a new ROM, the data-driven variational multiscale ROM (DD-VMS-ROM) built by adding a closure term to the G-ROM, aiming to increase the numerical accuracy of the ROM approximation without decreasing the computational efficiency. The closure term is constructed based on the variational multiscale framework. To model the closure term, we use d

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Isles, Peter D. F. "A Multiscale Analysis of the Factors Controlling Nutrient Dynamics and Cyanobacteria Blooms in Lake Champlain." ScholarWorks @ UVM, 2016. http://scholarworks.uvm.edu/graddis/561.

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Cyanobacteria blooms have increased in Lake Champlain due to excessive nutrient loading, resulting in negative impacts on the local economy and environmental health. While climate warming is expected to promote increasingly severe cyanobacteria blooms globally, predicting the impacts of complex climate changes on individual lakes is complicated by the many physical, chemical, and biological processes which mediate nutrient dynamics and cyanobacteria growth across time and space. Furthermore, processes influencing bloom development operate on a variety of temporal scales (hourly, daily, seasona

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8

Gaudencio, Andreia. "Study on the texture of biomedical data : contributions from multiscale and multidimensional features based on entropy measures." Electronic Thesis or Diss., Angers, 2025. http://www.theses.fr/2025ANGE0004.

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Le travail de thèse avait pour objectif de concevoir des outils d’extraction de texture à l’aide d’algorithmes basés sur l’entropie bidimensionnelle (ABE) et des techniques d’intelligence artificielle. Tout d’abord, une étude bibliographique a permis de montrer l’utilité de l’entropie pour diagnostiquer les pathologies telles que le cancer et les maladies pulmonaires. Par la suite, les différents algorithmes d’entropie proposés, certains basés sur l’entropie de Shannon et d’autres utilisant l’entropie conditionnelle, ont été comparés en termes de temps de calculs et de performances dans l’anal

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9

MIO, ANDREA. "A multiscale methodology for the preliminary screening of alternative process designs from a sustainability viewpoint adopting molecular and process simulation along with data envelopment analysis." Doctoral thesis, Università degli Studi di Trieste, 2018. http://hdl.handle.net/11368/2919629.

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La ricerca scientifica nell’ambito dell’ingegneria chimica si è focalizzata sia sul perfezionamento delle teorie e delle tecniche utilizzate attualmente, che sullo sviluppo di nuovi strumenti atti a risolvere le problematiche ancora insolute relative alle produzioni di beni e servizi tipici delle industrie chimiche, biochimiche e farmaceutiche. In questo panorama, gli approcci multiscala si sono rivelati molto utili grazie alla loro peculiarità di coniugare aspetti che spaziano dalla quanto-meccanica tipica della nanoscala, alla meccanica classica dei materiali massivi, comprendendo prospettiv

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10

Cavazzi, Stefano. "Spatial scale analysis of landscape processes for digital soil mapping in Ireland." Thesis, Cranfield University, 2013. http://dspace.lib.cranfield.ac.uk/handle/1826/8591.

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Soil is one of the most precious resources on Earth because of its role in storing and recycling water and nutrients essential for life, providing a variety of ecosystem services. This vulnerable resource is at risk from degradation by erosion, salinity, contamination and other effects of mismanagement. Information from soil is therefore crucial for its sustainable management. While the demand for soil information is growing, the quantity of data collected in the field is reducing due to financial constraints. Digital Soil Mapping (DSM) supports the creation of geographically referenced soil d

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11

Fearer, Todd Matthew. "Evaluating Population-Habitat Relationships of Forest Breeding Birds at Multiple Spatial and Temporal Scales Using Forest Inventory and Analysis Data." Diss., Virginia Tech, 2006. http://hdl.handle.net/10919/29243.

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Multiple studies have documented declines of forest breeding birds in the eastern United States, but the temporal and spatial scales of most studies limit inference regarding large scale bird-habitat trends. A potential solution to this challenge is integrating existing long-term datasets such as the U.S. Forest Service Forest Inventory and Analysis (FIA) program and U.S. Geological Survey Breeding Bird Survey (BBS) that span large geographic regions. The purposes of this study were to determine if FIA metrics can be related to BBS population indices at multiple spatial and temporal scales and

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12

Czerwińska, Urszula. "Unsupervised deconvolution of bulk omics profiles : methodology and application to characterize the immune landscape in tumors Determining the optimal number of independent components for reproducible transcriptomic data analysis Application of independent component analysis to tumor transcriptomes reveals specific and reproducible immune-related signals A multiscale signalling network map of innate immune response in cancer reveals signatures of cell heterogeneity and functional polarization." Thesis, Sorbonne Paris Cité, 2018. http://www.theses.fr/2018USPCB075.

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Les tumeurs sont entourées d'un microenvironnement complexe comprenant des cellules tumorales, des fibroblastes et une diversité de cellules immunitaires. Avec le développement actuel des immunothérapies, la compréhension de la composition du microenvironnement tumoral est d'une importance critique pour effectuer un pronostic sur la progression tumorale et sa réponse au traitement. Cependant, nous manquons d'approches quantitatives fiables et validées pour caractériser le microenvironnement tumoral, facilitant ainsi le choix de la meilleure thérapie. Une partie de ce défi consiste à quantifier

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13

Kühne, Kay. "Interactive Multiscale Visualization of Large, Multi-dimensional Datasets." Thesis, Linnéuniversitetet, Institutionen för datavetenskap och medieteknik (DM), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-77109.

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This thesis project set out to find and implement a comfortable way to explore vast, multidimensional datasets using interactive multiscale visualizations to combat the ever-growing information overload that the digitized world is generating. Starting at the realization that even for people not working in the fields of information visualization and data science the size of interesting datasets often outgrows the capabilities of standard spreadsheet applications such as Microsoft Excel. This project established requirements for a system to overcome this problem. In this thesis report, we descri

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14

CRIPPA, CHIARA. "Regional and local scale analysis of very slow rock slope deformations integrating InSAR and morpho-structural data." Doctoral thesis, Università degli Studi di Milano-Bicocca, 2021. http://hdl.handle.net/10281/306309.

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Le deformazioni lente di versante in roccia (DGPV e grandi frane) sono fenomeni diffusi che interessano interi versanti e mobilizzano volumi di roccia anche di miliardi di metri cubi. La loro evoluzione è legata a processi di rottura progressiva sotto forzanti esterne e di accoppiamento idromeccanico, rispecchiate da un complesso processo di creep. Sebbene caratterizzate da bassi tassi di spostamento (fino a pochi cm / anno), queste instabilità di versante danneggiano infrastrutture e ospitano settori potenzialmente soggetti a differenziazione e collasso catastrofico. È quindi necessaria una r

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15

Bouatou, Mohamed. "Estimation non linéaire par ondelettes : régression et survie." Phd thesis, Université Joseph Fourier (Grenoble), 1997. http://tel.archives-ouvertes.fr/tel-00004921.

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Dans ce travail, nous proposons de nouvelles approches d'estimation fonctionnelle pour des problèmes de régression et d'analyse de données de survie, et ce par l'utilisation de techniques adaptatives et non linéaires, fondées sur des décompositions en ondelettes. Les estimateurs qui en découlent, combinent les techniques d'estimation par projection orthogonale et celles de seuillage ou arbre de régression. Tout au long de ce travail, l'accent est mis sur l'importance que revêt le choix de la base optimale parmi une famille de bases d'ondelettes ou de paquets d'ondelettes exploitant au mieux la

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16

Beyou, Sébastien. "Estimation de la vitesse des courants marins à partir de séquences d'images satellitaires." Phd thesis, Université Rennes 1, 2013. http://tel.archives-ouvertes.fr/tel-00870722.

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Cette thèse étudie des méthodes d'assimilation de données par filtrage particulaire à l'estimation d'écoulements fluides observés au travers de séquences d'images. Nous nous appuyons sur un filtre particulaire spécifique dont la distribution de proposition est donnée par un filtre de Kalman d'ensemble, nommé filtre de Kalman d'ensemble pondéré. Deux variations à celui-ci sont introduites et étudiées. La première consiste à utiliser un bruit dynamique (permettant de modéliser l'incertitude du modèle et de séparer les particules entre elles) dont la forme spatiale suit une loi de puissance, cohé

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17

Little, Anna Victoria. "Estimating the Intrinsic Dimension of High-Dimensional Data Sets: A Multiscale, Geometric Approach." Diss., 2011. http://hdl.handle.net/10161/3863.

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<p>This work deals with the problem of estimating the intrinsic dimension of noisy, high-dimensional point clouds. A general class of sets which are locally well-approximated by <italic>k</italic> dimensional planes but which are embedded in a <italic>D</italic>>><italic>k</italic> dimensional Euclidean space are considered. Assuming one has samples from such a set, possibly corrupted by high-dimensional noise, if the data is linear the dimension can be recovered using PCA. However, when the data is non-linear, PCA fails, overestimating the intrinsic dimension. A multiscale version of PCA is t

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18

Shih-Kao and 高識. "Multiscale Entropy Analysis to Study the Data of Force Plate and Inertial Sensor under Static Balance Measurement." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/dtpx2s.

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碩士<br>元智大學<br>工業工程與管理學系<br>106<br>Static balance generally refers to the body (mainly the head) does not move, the body's ability to maintain posture for some time. The traditional method of measuring static balance is to stand in one eye with closed eyes in terms of the number of seconds as the balance of strength. A relatively new method is to use a force plate to record the pressure center of the subject and analyze the data. Although the force-measuring board has a strong function and accuracy, but bulky, the price is expensive. Inertial sensor is a kind of balance measuring instrument con

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19

Reis, Marco Paulo Seabra. "Monitorização, modelação e melhoria de processos químicos : abordagem multiescala baseada em dados." Doctoral thesis, 2006. http://hdl.handle.net/10316/7375.

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Tese de doutoramento em Engenharia Química (Processos Químicos) apresentada à Faculdade de Ciências e Tecnologia da Univ. de Coimbra<br>Processes going on in modern chemical processing plants are typically very complex, and this complexity is also present in collected data, which contain the cumulative effect of many underlying phenomena and disturbances, presenting different patterns in the time/frequency domain. Such characteristics motivate the development and application of data-driven multiscale approaches to process analysis, with the ability of selectively analyzing the information

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20

Gaudêncio, Andreia Sofia Feitor. "Entropy measure algorithms for biomedical applications." Master's thesis, 2019. http://hdl.handle.net/10316/87936.

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Dissertação de Mestrado Integrado em Engenharia Biomédica apresentada à Faculdade de Ciências e Tecnologia<br>Atualmente, os sinais e imagens biomédicas são fundamentais para o diagnóstico clínico. No entanto, em alguns casos, para um clínico menos experiente a sua interpretação poderá ser uma tarefa bastante difícil. Para algumas doenças, até clínicos com vasta experiência podem demonstrar dificuldades em quantificar e identificar os vários estádios da doença em questão devido à sua natureza.Desde os anos 1990' e, de acordo com a teoria da informação, surgiram várias medidas de entropia com o

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21

Thomas, Dilip Mathew. "Symmetry in Scalar Fields." Thesis, 2014. http://etd.iisc.ac.in/handle/2005/2989.

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Scalar fields are used to represent physical quantities measured over a domain of interest. Study of symmetric or repeating patterns in scalar fields is important in scientific data analysis because it gives deep insights into the properties of the underlying phenomenon. This thesis proposes three methods to detect symmetry in scalar fields. The first method models symmetry detection as a subtree matching problem in the contour tree, which is a topological graph abstraction of the scalar field. The contour tree induces a hierarchical segmentation of features at different scales and hence this

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22

Thomas, Dilip Mathew. "Symmetry in Scalar Fields." Thesis, 2014. http://etd.iisc.ernet.in/handle/2005/2989.

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Scalar fields are used to represent physical quantities measured over a domain of interest. Study of symmetric or repeating patterns in scalar fields is important in scientific data analysis because it gives deep insights into the properties of the underlying phenomenon. This thesis proposes three methods to detect symmetry in scalar fields. The first method models symmetry detection as a subtree matching problem in the contour tree, which is a topological graph abstraction of the scalar field. The contour tree induces a hierarchical segmentation of features at different scales and hence this

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23

Strelet, Eugeniu. "Análise multivariada de imagem para monitorização avançada de processos e produtos." Master's thesis, 2018. http://hdl.handle.net/10316/86689.

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Dissertação de Mestrado Integrado em Engenharia Química apresentada à Faculdade de Ciências e Tecnologia<br>Este trabalho de dissertação aborda um tema de importância crescente na área de Engenharia Química que é a Análise e Processamento de Imagens para efeitos de Controlo de Processos e Produtos. O objetivo essencial é extrair das imagens a informação relevante e usá-la de forma crescente na monitorização de um conjunto de parâmetros de um dado processo e/ou produto. Assim, torna-se possível implementar o controlo estatístico multivariado do processo (MSPC) ou supervisionar a qualidade de pr

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24

PADELLINI, TULLIA. "Interpretable statistics for complex modelling: quantile and topological learning." Doctoral thesis, 2019. http://hdl.handle.net/11573/1243684.

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As the complexity of our data increased exponentially in the last decades, so has our need for interpretable features. This thesis revolves around two paradigms to approach this quest for insights. In the first part we focus on parametric models, where the problem of interpretability can be seen as a “parametrization selection”. We introduce a quantile-centric parametrization and we show the advantages of our proposal in the context of regression, where it allows to bridge the gap between classical generalized linear (mixed) models and increasingly popular quantile methods. The second

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