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Relevant bibliographies by topics / Identification uncertainty / Dissertations / Theses

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Dissertations / Theses on the topic 'Identification uncertainty'

Author: Grafiati

Published: 2 June 2025

Last updated: 31 July 2025

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1

Sui, Liqi. "Uncertainty management in parameter identification." Thesis, Compiègne, 2017. http://www.theses.fr/2017COMP2330/document.

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Afin d'obtenir des simulations plus prédictives et plus précises du comportement mécanique des structures, des modèles matériau de plus en plus complexes ont été développés. Aujourd'hui, la caractérisation des propriétés des matériaux est donc un objectif prioritaire. Elle exige des méthodes et des tests d'identification dédiés dans des conditions les plus proches possible des cas de service. Cette thèse vise à développer une méthodologie d'identification efficace pour trouver les paramètres des propriétés matériau, en tenant compte de toutes les informations disponibles. L'information utilisé

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2

Riefelyna, Siska. "Structural uncertainty identification using mode shape information." Thesis, University of Sussex, 2012. http://sro.sussex.ac.uk/id/eprint/43334/.

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This thesis is concerned with efficient uncertainty identification (UI) – namely the nonlinear inverse problem of establishing specific statistical properties of an uncertain structure from a practically-limited supply of low-frequency dynamic response information. An established UI approach (published in 2005) which uses Maximum Likelihood Estimation (MLE) and the Perturbation Method of uncertainty propagation is adopted for the study using (for the first time) mode shape information rather than just natural or resonant frequencies. The thesis develops a method based on the use of selected co

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3

Pan, Qin Aktan A. E. "System identification of constructed civil engineering structures and uncertainty /." Philadelphia, Pa. : Drexel University, 2007. http://hdl.handle.net/1860/2531.

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4

Rivenbark, David. "UNCERTAINTY, IDENTIFICATION, AND PRIVACY: EXPERIMENTS IN INDIVIDUAL DECISION-MAKING." Doctoral diss., University of Central Florida, 2010. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/2266.

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The alleged privacy paradox states that individuals report high values for personal privacy, while at the same time they report behavior that contradicts a high privacy value. This is a misconception. Reported privacy behaviors are explained by asymmetric subjective beliefs. Beliefs may or may not be uncertain, and non-neutral attitudes towards uncertainty are not necessary to explain behavior. This research was conducted in three related parts. Part one presents an experiment in individual decision making under uncertainty. EllsbergÂ s canonical two-color choice problem was used to estimate a

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5

Laguna, Sanz Alejandro José. "Uncertainty in Postprandial Model Identification in type 1 Diabetes." Doctoral thesis, Editorial Universitat Politècnica de València, 2014. http://hdl.handle.net/10251/37191.

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Postprandial characterization of patients with type 1 diabetes is crucial for the development of an automatic glucose control system (Artificial Pancreas). Uncertainty sources within the patient, and variability of the glucose response between patients, are a challenge for individual patients model identification leading to poor predictability with current methods. Also, continuous glucose monitors, which have been the springboard for research towards a domiciliary artificial pancreas, still introduce large measurement errors, greatly complicating the characterization of the patient. In this

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Bogodorova, Tetiana. "Modeling, Model Validation and Uncertainty Identification for Power System Analysis." Doctoral thesis, KTH, Elkraftteknik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-218008.

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It is widely accepted that correct system modeling and identification are among the most important issues power system operators face when managing instability and post-contingency scenarios. The latter is usually performed involving special computational tools that allow the operator to forecast, prevent system failure and take appropriate actions according to protocols for different contingency cases in the system. To ensure that operators make the correct simulation-based decisions, the power system models have to be validated continuously. This thesis investigates power system modeling, id

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7

Gökçe, Hasan Burak. "Structural identification through monitoring, modeling and predictive analysis under uncertainty." Doctoral diss., University of Central Florida, 2012. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/5222.

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Bridges are critical components of highway networks, which provide mobility and economical vitality to a nation. Ensuring the safety and regular operation as well as accurate structural assessment of bridges is essential. Structural Identification (St-Id) can be utilized for better assessment of structures by integrating experimental and analytical technologies in support of decision-making. St-Id is defined as creating parametric or nonparametric models to characterize structural behavior based on structural health monitoring (SHM) data. In a recent study by the ASCE St-Id Committee, St-Id fr

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8

Douglas, Joel S. (Joel Seth). "Identification of parametric uncertainty for the control of flexible structures." Thesis, Massachusetts Institute of Technology, 1995. http://hdl.handle.net/1721.1/36562.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1995.<br>Includes bibliographical references (leaves 152-158).<br>by Joel S. Douglas.<br>Ph.D.

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9

Hohman, Zachary P. "Fearing the Uncertain: A Causal Exploration of Self-Esteem, Self-Uncertainty, and Mortality Salience." Scholarship @ Claremont, 2012. http://scholarship.claremont.edu/cgu_etd/26.

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Social identity theory (Tajfel & Turner, 1979) is one of the most influential social psychological theories of group behavior and intergroup relations. Early social identity research focused on many different group processes; however, the motivation behind group identification was not fully explored. Researchers have proposed a variety of accounts for why people join and identify with groups. This dissertation unravels the relationship between, on the one hand, mortality salience, self-related uncertainty and self-esteem, and on the other group identification and ingroup defense. The general h

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10

Zakharov, I. P., O. A. Botsiura, and V. Semenikhin. "Instrumental uncertainties accounting in identification of nonpolynomial calibration dependence." Thesis, "Софттрейд", 2020. https://openarchive.nure.ua/handle/document/18984.

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11

Ellis, Amanda R. "ACCOUNTING FOR MATCHING UNCERTAINTY IN PHOTOGRAPHIC IDENTIFICATION STUDIES OF WILD ANIMALS." UKnowledge, 2018. https://uknowledge.uky.edu/statistics_etds/31.

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I consider statistical modelling of data gathered by photographic identification in mark-recapture studies and propose a new method that incorporates the inherent uncertainty of photographic identification in the estimation of abundance, survival and recruitment. A hierarchical model is proposed which accepts scores assigned to pairs of photographs by pattern recognition algorithms as data and allows for uncertainty in matching photographs based on these scores. The new models incorporate latent capture histories that are treated as unknown random variables informed by the data, contrasting pa

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12

Malmström, Magnus. "Uncertainties in Neural Networks : A System Identification Approach." Licentiate thesis, Linköpings universitet, Reglerteknik, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-174720.

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In science, technology, and engineering, creating models of the environment to predict future events has always been a key component. The models could be everything from how the friction of a tire depends on the wheels slip to how a pathogen is spread throughout society. As more data becomes available, the use of data-driven black-box models becomes more attractive. In many areas they have shown promising results, but for them to be used widespread in safety-critical applications such as autonomous driving some notion of uncertainty in the prediction is required. An example of such a black-b

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13

Lam, Xuan-Binh. "Uncertainty quantification for stochastic subspace indentification methods." Rennes 1, 2011. http://www.theses.fr/2011REN1S133.

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In Operational Modal Analysis, the modal parameters (natural frequencies, damping ratios, and mode shapes) obtained from Stochastic Subspace Identification (SSI) of a structure, are afflicted with statistical uncertainty. For evaluating the quality of the obtained results it is essential to know the appropriate uncertainty bounds of these terms. In this thesis, the algorithms, that automatically compute the uncertainty bounds of modal parameters obtained from SSI of a structure based on vibration measurements, are presented. With these new algorithms, the uncertainty bounds of the modal parame

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Botsiura, O. A., I. P. Zakharov, and V. Semenikhin. "Instrumental uncertainties accounting in identification of nonpolynomial calibration dependence." Thesis, "Софттрейд", 2020. https://openarchive.nure.ua/handle/document/18994.

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The problem of constructing a calibration dependence of measuring instruments is solved using a measuring experiment, during which values are measured with some uncertainties. According to the obtained values of the measured quantities for a given type of dependence, its identification is carried out. The most common method for solving the identification problem is the least squares method, which is well implemented for polynomial dependencies. In metrological practice, one often has to deal with the case when identifying a nonlinear calibration dependence, an increase in the degree of the pol

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Ciloglu, Suleyman Korhan Aktan Ahmet Emin. "The impact of uncertainty in operational modal analysis for structural identification of constructed systems /." Philadelphia, Pa. : Drexel University, 2006. http://hdl.handle.net/1860/1117.

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16

Boyd, Ian M. "Adaptive Identification of Classification Decision Boundary of Turbine Blade Mode Shape under Geometric Uncertainty." Wright State University / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=wright1567013848919062.

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DRAGOMIRESCU, GAINA CATALIN FLORINEL. "THREE ESSAYS ON UNCERTAINTY: POLICY REACTIONS AND FINANCIAL CONSEQUENCES." Doctoral thesis, Università Cattolica del Sacro Cuore, 2020. http://hdl.handle.net/10280/73307.

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La presente tesi si concentra sull’incertezza e sulla sua relazione con il rischio finanziario, due importanti concetti in economia e finanza. Il primo capitolo propone un approccio analitico in grado di separare gli shock connessi all’incertezza finanziaria dagli shock legati all’incertezze politiche, utilizzando un campione di paesi appartenti all’area Euro, dove la diffusione di shock da un paese all’altro (effetti di spillover) rendono l’identificazione più complessa. I risultati indicano che la BCE favorisce adottare una condotta proattiva verso gli shock di incertezza politica, e una più

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DRAGOMIRESCU, GAINA CATALIN FLORINEL. "THREE ESSAYS ON UNCERTAINTY: POLICY REACTIONS AND FINANCIAL CONSEQUENCES." Doctoral thesis, Università Cattolica del Sacro Cuore, 2020. http://hdl.handle.net/10280/73307.

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La presente tesi si concentra sull’incertezza e sulla sua relazione con il rischio finanziario, due importanti concetti in economia e finanza. Il primo capitolo propone un approccio analitico in grado di separare gli shock connessi all’incertezza finanziaria dagli shock legati all’incertezze politiche, utilizzando un campione di paesi appartenti all’area Euro, dove la diffusione di shock da un paese all’altro (effetti di spillover) rendono l’identificazione più complessa. I risultati indicano che la BCE favorisce adottare una condotta proattiva verso gli shock di incertezza politica, e una più

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19

Sauer, Manuela [Verfasser]. "On the impact of adverse weather uncertainty on aircraft routing : identification and mitigation / Manuela Sauer." Hannover : Technische Informationsbibliothek (TIB), 2016. http://d-nb.info/1084239086/34.

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Mikaelian, Tsoline. "An Integrated Real options Framework for model-based identification and valuation of options under uncertainty." Thesis, Massachusetts Institute of Technology, 2009. http://hdl.handle.net/1721.1/51676.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 2009.<br>This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.<br>Includes bibliographical references (p. 217-231).<br>Complex systems and enterprises, such as those typical in the aerospace industry, are subject to uncertainties that may lead to suboptimal performance or even catastrophic failures if unmanaged. This work focuses on flexibility as an important means of managing uncertainties and leverages rea

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Thomsen, Graham L. "Towards resilience: Identification of the characteristics required for an urban water supply business." Thesis, Queensland University of Technology, 2018. https://eprints.qut.edu.au/120285/1/Graham_Thomsen_Thesis.pdf.

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This thesis is a study to determine the characteristics required for an urban water supply business to become resilient. It established an understanding of the definition of resilience and the relationship with sustainability. The study tested the parameters through a case study and survey of a region of south-eastern Queensland, Australia which had been subjected to disruption through severe drought conditions combined with rapid population growth. Key findings demonstrated that technical and physical resources are not sufficient and need to be augmented by social and institutional culture in

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22

Flowers, David Christopher 1988. "Computational modeling of knowledge and uncertainty in systems biology for drug target identification and protein engineering." Thesis, Massachusetts Institute of Technology, 2018. http://hdl.handle.net/1721.1/119969.

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Thesis: Ph. D., Massachusetts Institute of Technology, Department of Biological Engineering, 2018.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 72-76).<br>In systems biology, ordinary differential equation models are used frequently to model the dynamics of molecular and cellular systems. These models are parameterized with rate constants and other quantities that are often estimated from empirical data. When the data are insufficient to fully determine the model parameters, the parameter values are unidentifiable, and many parameter sets are consisten

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van, Wyk Hans-Werner. "A Variational Approach to Estimating Uncertain Parameters in Elliptic Systems." Diss., Virginia Tech, 2012. http://hdl.handle.net/10919/27635.

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As simulation plays an increasingly central role in modern science and engineering research, by supplementing experiments, aiding in the prototyping of engineering systems or informing decisions on safety and reliability, the need to quantify uncertainty in model outputs due to uncertainties in the model parameters becomes critical. However, the statistical characterization of the model parameters is rarely known. In this thesis, we propose a variational approach to solve the stochastic inverse problem of obtaining a statistical description of the diffusion coefficient in an elliptic partial d

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Genbäck, Minna. "Uncertainty intervals and sensitivity analysis for missing data." Doctoral thesis, Umeå universitet, Statistik, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-127121.

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In this thesis we develop methods for dealing with missing data in a univariate response variable when estimating regression parameters. Missing outcome data is a problem in a number of applications, one of which is follow-up studies. In follow-up studies data is collected at two (or more) occasions, and it is common that only some of the initial participants return at the second occasion. This is the case in Paper II, where we investigate predictors of decline in self reported health in older populations in Sweden, the Netherlands and Italy. In that study, around 50% of the study participants

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Ju, Ran. "Organizational Information-Seeking in the Digital Era: A Model of New Media Use, Uncertainty Reduction, Identification and Culture." Ohio University / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1363779224.

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26

Edris, Nureddin R. "Identification of an appropriate data assimilation approach in seismic history matching and its effect on prediction uncertainty." Thesis, Heriot-Watt University, 2009. http://hdl.handle.net/10399/2231.

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Reservoir management may be improved if the present state of the field is known and if changes can be predicted. The former requires information about current fluid sweep and pressure change, while the latter requires accurate reservoir description and a predictive tool such as a simulation model. With this information, important decisions can then be made, including facility maintenance and well optimisation. We apply an automated history matching method which updates a parameter such as permeability, barrier transmissibilities and NTG (Net:Gross) by matching 4D seismic predictions from the s

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27

Staber, Brian. "Stochastic analysis, simulation and identification of hyperelastic constitutive equations." Thesis, Paris Est, 2018. http://www.theses.fr/2018PESC1042/document.

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Le projet de thèse concerne la construction, la génération et l'identification de modèles continus stochastiques, pour des milieux hétérogènes exhibant des comportements non linéaires. Le domaine d'application principal visé est la biomécanique, notamment au travers du développement d'outils de modélisation multi-échelles et stochastiques, afin de quantifier les grandes incertitudes exhibées par les tissus mous. Deux aspects sont particulièrement mis en exergue. Le premier point a trait à la prise en compte des incertitudes en mécanique non linéaire, et leurs incidences sur les prédictions des

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28

Peng, Tian. "Structural system identification by dynamic observability technique." Doctoral thesis, Universitat Politècnica de Catalunya, 2021. http://hdl.handle.net/10803/672173.

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Structure system identification (SSI) can be classified as static and dynamic depending on the type of excitation. SSI by Observability Method (OM) using static tests was proposed and analyzed to address the observability of the estimated parameters. This mathematical approach has been used in other fields such as hydraulics, electrical, and power networks or transportation. Usually, the structural behavior of engineering structures can be identified according to dynamic characteristics such as mode shapes, natural frequencies, and damping ratios. However, the analysis of SSI by dynamic Observ

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Janya-anurak, Chettapong [Verfasser]. "Framework for Analysis and Identification of Nonlinear Distributed Parameter Systems using Bayesian Uncertainty Quantification based on Generalized Polynomial Chaos / Chettapong Janya-anurak." Karlsruhe : KIT Scientific Publishing, 2017. http://www.ksp.kit.edu.

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Janya-Anurak, Chettapong [Verfasser]. "Framework for Analysis and Identification of Nonlinear Distributed Parameter Systems using Bayesian Uncertainty Quantification based on Generalized Polynomial Chaos / Chettapong Janya-anurak." Karlsruhe : KIT Scientific Publishing, 2017. http://www.ksp.kit.edu.

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31

Mann, Jaspreet Kaur. "On-line health monitoring of passive electronic components using digitally controlled power converter." Thesis, Cranfield University, 2016. http://dspace.lib.cranfield.ac.uk/handle/1826/10778.

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This thesis presents System Identification based On-Line Health Monitoring to analyse the dynamic behaviour of the Switch-Mode Power Converter (SMPC), detect, and diagnose anomalies in passive electronic components. The anomaly detection in this research is determined by examining the change in passive component values due to degradation. Degradation, which is a long-term process, however, is characterised by inserting different component values in the power converter. The novel health-monitoring capability enables accurate detection of passive electronic components despite component variation

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32

Berny, Myriam. "High-temperature tests for ceramic matrix composites : from full-field regularised measurements to thermomechanical parameter identification." Thesis, université Paris-Saclay, 2020. http://www.theses.fr/2020UPAST028.

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Cette thèse a pour objectif de développer une méthode de mesure de champs par corrélation d’images numériques (CIN) à haute température couplée à des mesures thermiques sur une éprouvette technologique en CMC sollicitée dans des conditions thermiques représentatives d’un environnement moteur et de mettre en place une méthodologie d’identification des propriétés thermiques et thermomécaniques du matériau, en quantifiant à chaque étape de la chaîne les incertitudes associées aux quantités d’intérêt et en les réduisant. Il a pour cela été nécessaire de traiter les défis inhérents à la CIN à chaud

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Kriwoluzky, Alexander. "Matching DSGE models to data with applications to fiscal and robust monetary policy." Doctoral thesis, Humboldt-Universität zu Berlin, Wirtschaftswissenschaftliche Fakultät, 2009. http://dx.doi.org/10.18452/16052.

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Diese Doktorarbeit untersucht drei Fragestellungen. Erstens, wie die Wirkung von plötzlichen Änderungen exogener Faktoren auf endogene Variablen empirisch im Allgemeinen zu bestimmen ist. Zweitens, welche Effekte eine Erhöhung der Staatsausgaben im Speziellen hat. Drittens, wie optimale Geldpolitik bestimmt werden kann, wenn der Entscheider keine eindeutigen Modelle für die ökonomischen Rahmenbedingungen hat. Im ersten Kapitel entwickele ich eine Methode, mithilfe derer die Effekte von plötzlichen Änderungen exogener Faktoren auf endogene Variablen geschätzt werden können. Dazu wird die gemein

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Rattenberry, Eleanor Clare. "Identification and assessment of variants of uncertain significance in familial cancer syndromes." Thesis, University of Birmingham, 2016. http://etheses.bham.ac.uk//id/eprint/6742/.

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The identification of the causative mutation(s) in individuals with familial cancer syndromes informs their clinical management and allows cascade testing of family members, which informs their clinical management in turn. The advent of next generation sequencing (NGS) has revolutionised diagnostic genetic analysis, demonstrated by this thesis. Three novel NGS assays have been developed. The first two assays allowed more comprehensive analysis of two genetically heterogeneous tumours, phaeochromocytoma/parganglioma and renal cell carcinoma, by creation of NGS-based gene panel tests. These assa

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Mélendez, Márquez Raúl Antonio. "Active noise control in the presence of uncertain and time-varying disturbances." Thesis, Université Grenoble Alpes (ComUE), 2019. http://www.theses.fr/2019GREAT029.

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Le but de cette thèse est le développement et l'application de différentes méthodes de contrôle pour le contrôle actif du bruit en présence de perturbations incertaines et variables dans le temps. Une conception de contrôleur basée sur un modèle est appliquée et une méthodologie complète pour l'identification du modèle est introduite. Dans ce contexte, un banc d'essai reconfigurable basé sur un silencieux de bruit pour gaines a été conçu et construit. Il est entièrement équipé de capteurs et d'actionneurs afin de tester les algorithmes développés dans diverses configurations.Un schéma contre-r

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Nosjean, Nicolas. "Management et intégration des risques et incertitudes pour le calcul de volumes de roches et de fluides au sein d’un réservoir, zoom sur quelques techniques clés d’exploration Integrated Post-stack Acoustic Inversion Case Study to Enhance Geological Model Description of Upper Ordovicien Statics : from imaging to interpretation pitfalls and an efficient way to overcome them Improving Upper Ordovician reservoir characterization - an Algerian case study Tracking Fracture Corridors in Tight Gas Reservoirs : An Algerian Case Study Integrated sedimentological case study of glacial Ordovician reservoirs in the Illizi Basin, Algeria A Case Study of a New Time-Depth Conversion Workflow Designed for Optimizing Recovery Proper Systemic Knowledge of Reservoir Volume Uncertainties in Depth Conversion Integration of Fault Location Uncertainty in Time to Depth Conversion Emergence of edge scenarios in uncertainty studies for reservoir trap analysis Enhancing geological model with the use of Spectral Decomposition - A case study of a prolific stratigraphic play in North Viking Graben, Norway Fracture corridor identification through 3D multifocusing to improve well deliverability, an Algerian tight reservoir case study Geological Probability Of Success Assessment for Amplitude-Driven Prospects, A Nile Delta Case Study." Thesis, université Paris-Saclay, 2020. http://www.theses.fr/2020UPASS085.

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En tant que géoscientifique dans le domaine de l’Exploration pétrolière et gazière depuis une vingtaine d’années, mes fonctions professionnelles m’ont permis d’effectuer différents travaux de recherche sur la thématique de la gestion des risques et des incertitudes. Ces travaux de recherche se situent sur l’ensemble de la chaîne d’analyse Exploration, traitant de problématiques liées à l’acquisition et au traitement sismique, jusqu’au placement optimal de forages d’exploration. Un volet plus poussé de mes travaux s’est orienté sur la gestion des incertitudes géophysiques en Exploration pétroli

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Das, Ajoy Kumar. "Health Assessment of Three Dimensional Large Structural Systems Using Limited Uncertain Dynamic Response Information." Diss., The University of Arizona, 2012. http://hdl.handle.net/10150/268597.

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A novel system identification (SI)-based structural health assessment (SHA) procedure has been developed integrating several theoretical and implementation aspects. The procedure assesses health of structures using limited noise-contaminated dynamic responses and without using input excitation information. Since most practical structures are three dimensional (3D), the procedure has been developed for general 3D structures, represented by finite elements (FEs). The procedure identifies defects by tracking the changes in the stiffness of the elements in the FE representation. Once a defective e

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Senkel, Luise [Verfasser]. "Sliding Mode Techniques for Robust Control, State Estimation and Parameter Identification of Uncertain Dynamic Systems / Luise Senkel." Aachen : Shaker, 2018. http://d-nb.info/1159833230/34.

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Kersting, Stefan [Verfasser], Martin [Akademischer Betreuer] Buss, Matthias [Gutachter] Althoff, and Martin [Gutachter] Buss. "Adaptive Identification and Control of Uncertain Systems with Switching / Stefan Kersting ; Gutachter: Matthias Althoff, Martin Buss ; Betreuer: Martin Buss." München : Universitätsbibliothek der TU München, 2018. http://d-nb.info/1161528407/34.

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Calliess, Jan-Peter. "Conservative decision-making and inference in uncertain dynamical systems." Thesis, University of Oxford, 2014. http://ora.ox.ac.uk/objects/uuid:b7206c3a-8d76-4454-a258-ea1e5bd1c63e.

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The demand for automated decision making, learning and inference in uncertain, risk sensitive and dynamically changing situations presents a challenge: to design computational approaches that promise to be widely deployable and flexible to adapt on the one hand, while offering reliable guarantees on safety on the other. The tension between these desiderata has created a gap that, in spite of intensive research and contributions made from a wide range of communities, remains to be filled. This represents an intriguing challenge that provided motivation for much of the work presented in this the

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Rafael-Palou, Xavier. "Detection, quantification, malignancy prediction and growth forecasting of pulmonary nodules using deep learning in follow-up CT scans." Doctoral thesis, Universitat Pompeu Fabra, 2021. http://hdl.handle.net/10803/672964.

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Nowadays, lung cancer assessment is a complex and tedious task mainly per- formed by radiological visual inspection of suspicious pulmonary nodules, using computed tomography (CT) scan images taken to patients over time. Several computational tools relying on conventional artificial intelligence and computer vision algorithms have been proposed for supporting lung cancer de- tection and classification. These solutions mostly rely on the analysis of indi- vidual lung CT images of patients and on the use of hand-crafted image de- scriptors. Unfortunately, this makes them unable to cope

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Chang, Long Bin, and 張龍彬. "Identification of Parametric Uncertainty System and Applications." Thesis, 2000. http://ndltd.ncl.edu.tw/handle/17559274136040497314.

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碩士<br>國立海洋大學<br>電機工程學系<br>88<br>The objective of the thesis is to analyze and estimate the real uncertain parameters of linear systems. Using the geometric concepts of linear programming, we offer two ways of estimation: the batch algorithm and the recursive algorithm. The batch algorithm could get the exact range of uncertain parameters but with heavier computational load. The recursive algorithm could reduce the amount of computations but only to get the an estimated range set of uncertain parameters. We demonstrate our algorithms via a practical example: estimating the

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Santos, Miguel Augusto Pereira. "Tax-rate uncertainty on profit-shifting identification." Master's thesis, 2021. https://hdl.handle.net/10216/137186.

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Lin, Yi-Hsuan. "Identification and testability in models of decision-making under uncertainty." Thesis, 2019. https://hdl.handle.net/2144/41523.

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This thesis studies identification and testability for three models of choice under uncertainty. Identification is concerned with whether the parameters of a specified model are uniquely recoverable from observable behavior. Testability is concerned with how to test the consistency between the model’s predictions and choice data. All models considered deviate from classic models in one of two ways: either randomness in preference varies with decision problems, or preferences violate expected utility theory. Chapter 1 studies a model of rational inattention. An agent can acquire costly infor

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(10702392), Alana K. Lund. "Bayesian Identification of Nonlinear Structural Systems: Innovations to Address Practical Uncertainty." Thesis, 2021.

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The ability to rapidly assess the condition of a structure in a manner which enables the accurate prediction of its remaining capacity has long been viewed as a crucial step in allowing communities to make safe and efficient use of their public infrastructure. This objective has become even more relevant in recent years as both the interdependency and state of deterioration in infrastructure systems throughout the world have increased. Current practice for structural condition assessment emphasizes visual inspection, in which trained professionals will routinely survey a structure to estimate

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Vankayala, Praveen. "Contaminant source identification in water distribution networks under the conditions of uncertainty." 2007. http://www.lib.ncsu.edu/theses/available/etd-07082007-231117/unrestricted/etd.pdf.

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Biswal, Suryakanta. "Uncertainty Based Damage Identification and Prediction of Long-Time Deformation in Concrete Structures." Thesis, 2016. http://etd.iisc.ac.in/handle/2005/3143.

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Uncertainties are present in the inverse analysis of damage identification with respect to the given measurements, mainly the modelling uncertainties and the measurement uncertainties. Modelling uncertainties occur due to constructing a representative model of the real structure through finite element modelling, and representing damage in the real structures through changes in material parameters of the finite element model (assuming smeared crack approach). Measurement uncertainties are always present in the measurements despite the accuracy with which the measurements are measured or the pre

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Biswal, Suryakanta. "Uncertainty Based Damage Identification and Prediction of Long-Time Deformation in Concrete Structures." Thesis, 2016. http://hdl.handle.net/2005/3143.

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Abstract:

Uncertainties are present in the inverse analysis of damage identification with respect to the given measurements, mainly the modelling uncertainties and the measurement uncertainties. Modelling uncertainties occur due to constructing a representative model of the real structure through finite element modelling, and representing damage in the real structures through changes in material parameters of the finite element model (assuming smeared crack approach). Measurement uncertainties are always present in the measurements despite the accuracy with which the measurements are measured or the pre

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Świerc, Stanisław. "Automated identification of breaking changes in continuous integration systems using under uncertainty reasoning." Rozprawa doktorska, 2015. https://repolis.bg.polsl.pl/dlibra/docmetadata?showContent=true&id=31404.

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Świerc, Stanisław. "Automated identification of breaking changes in continuous integration systems using under uncertainty reasoning." Rozprawa doktorska, 2015. https://delibra.bg.polsl.pl/dlibra/docmetadata?showContent=true&id=31404.

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