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Dissertations / Theses on the topic 'Probabilistic Bayesian Network'

Author: Grafiati

Published: 9 March 2023

Last updated: 19 July 2025

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1

Sahin, Elvan. "Discrete-Time Bayesian Networks Applied to Reliability of Flexible Coping Strategies of Nuclear Power Plants." Thesis, Virginia Tech, 2021. http://hdl.handle.net/10919/103817.

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The Fukushima Daiichi accident prompted the nuclear community to find a new solution to reduce the risky situations in nuclear power plants (NPPs) due to beyond-design-basis external events (BDBEEs). An implementation guide for diverse and flexible coping strategies (FLEX) has been presented by Nuclear Energy Institute (NEI) to manage the challenge of BDBEEs and to enhance reactor safety against extended station blackout (SBO). To assess the effectiveness of FLEX strategies, probabilistic risk assessment (PRA) methods can be used to calculate the reliability of such systems. Due to the uniquen

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2

Yoo, Keunyoung. "Probabilistic SEM : an augmentation to classical Structural equation modelling." Diss., University of Pretoria, 2018. http://hdl.handle.net/2263/66521.

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Structural equation modelling (SEM) is carried out with the aim of testing hypotheses on the model of the researcher in a quantitative way, using the sampled data. Although SEM has developed in many aspects over the past few decades, there are still numerous advances which can make SEM an even more powerful technique. We propose representing the nal theoretical SEM by a Bayesian Network (BN), which we would like to call a Probabilistic Structural Equation Model (PSEM). With the PSEM, we can take things a step further and conduct inference by explicitly entering evidence into the network

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Zhao, Wenyu. "A Probabilistic Approach for Prognostics of Complex Rotary Machinery Systems." University of Cincinnati / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1423581651.

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4

Björkman, Peter. "Probabilistic Safety Assessment using Quantitative Analysis Techniques : Application in the Heavy Automotive Industry." Thesis, Uppsala universitet, Institutionen för informationsteknologi, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-163262.

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Safety is considered as one of the most important areas in future research and development within the automotive industry. New functionality, such as driver support and active/passive safety systems are examples where development mainly focuses on safety. At the same time, the trend is towards more complex systems, increased software dependence and an increasing amount of sensors and actuators, resulting in a higher risk associated with software and hardware failures. In the area of functional safety, standards such as ISO 26262 assess safety mainly focusing on qualitative assessment technique

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Quer, Giorgio. "Optimization of Cognitive Wireless Networks using Compressive Sensing and Probabilistic Graphical Models." Doctoral thesis, Università degli studi di Padova, 2011. http://hdl.handle.net/11577/3421992.

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In-network data aggregation to increase the efficiency of data gathering solutions for Wireless Sensor Networks (WSNs) is a challenging task. In the first part of this thesis, we address the problem of accurately reconstructing distributed signals through the collection of a small number of samples at a Data Collection Point (DCP). We exploit Principal Component Analysis (PCA) to learn the relevant statistical characteristics of the signals of interest at the DCP. Then, at the DCP we use this knowledge to design a matrix required by the recovery techniques, that exploit convex optimization (Co

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Ramani, Shiva Shankar. "Graphical Probabilistic Switching Model: Inference and Characterization for Power Dissipation in VLSI Circuits." [Tampa, Fla.] : University of South Florida, 2004. http://purl.fcla.edu/fcla/etd/SFE0000497.

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Bortolini, Rafaela. "Enhancing building performance : a Bayesian network model to support facility management." Doctoral thesis, Universitat Politècnica de Catalunya, 2019. http://hdl.handle.net/10803/666187.

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The performance of existing buildings is receiving increased concern due to the need to renovate the aging building stock and provide better quality of life for end users. The conservation state of buildings and the indoor environment conditions have been related to occupants’ well-being, health, and productivity. At the same time, there is a need for more sustainable buildings with reduced energy consumption. Most challenges encountered during the analysis of the performance of existing buildings are associated with the complex relationships among the causal factors involved. The performance

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Klukowski, Piotr. "Nuclear magnetic resonance spectroscopy interpretation for protein modeling using computer vision and probabilistic graphical models." Thesis, Blekinge Tekniska Högskola, Sektionen för datavetenskap och kommunikation, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-4720.

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Dynamic development of nuclear magnetic resonance spectroscopy (NMR) allowed fast acquisition of experimental data which determine structure and dynamics of macromolecules. Nevertheless, due to lack of appropriate computational methods, NMR spectra are still analyzed manually by researchers what takes weeks or years depending on protein complexity. Therefore automation of this process is extremely desired and can significantly reduce time of protein structure solving. In presented work, a new approach to automated three-dimensional protein NMR spectra analysis is presented. It is based on Hist

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Ramalingam, Nirmal Munuswamy. "A complete probabilistic framework for learning input models for power and crosstalk estimation in VLSI circuits." [Tampa, Fla.] : University of South Florida, 2004. http://purl.fcla.edu/fcla/etd/SFE0000505.

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10

Tran, Thanh Binh. "A Bayesian Network framework for probabilistic identification of model parameters from normal and accelerated tests : application to chloride ingress into conrete." Nantes, 2015. https://archive.bu.univ-nantes.fr/pollux/show/show?id=1bd3c7d5-c357-43f1-b430-bb5e97e9ef3c.

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La pénétration des chlorures dans le béton est l'une des causes principales de dégradation des ouvrages en béton armé. Sous l’attaque des chlorures des dégradations importantes auront lieu après 10 à 20 ans. Par conséquent, ces ouvrages devraient être périodiquement inspectés et réparés afin d’assurer des niveaux optimaux de capacité de service et de sécurité pendant leur durée de vie. Des paramètres matériels et environnementaux pertinents peuvent être déterminés à partir des données d’inspection. En raison de la cinétique longue des mécanismes de pénétration de chlorures et des difficultés p

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Gasse, Maxime. "Apprentissage de Structure de Modèles Graphiques Probabilistes : application à la Classification Multi-Label." Thesis, Lyon, 2017. http://www.theses.fr/2017LYSE1003/document.

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Dans cette thèse, nous nous intéressons au problème spécifique de l'apprentissage de structure de modèles graphiques probabilistes, c'est-à-dire trouver la structure la plus efficace pour représenter une distribution, à partir seulement d'un ensemble d'échantillons D ∼ p(v). Dans une première partie, nous passons en revue les principaux modèles graphiques probabilistes de la littérature, des plus classiques (modèles dirigés, non-dirigés) aux plus avancés (modèles mixtes, cycliques etc.). Puis nous étudions particulièrement le problème d'apprentissage de structure de modèles dirigés (réseaux Ba

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12

Ben, Mrad Ali. "Observations probabilistes dans les réseaux bayésiens." Thesis, Valenciennes, 2015. http://www.theses.fr/2015VALE0018/document.

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Dans un réseau bayésien, une observation sur une variable signifie en général que cette variable est instanciée. Ceci signifie que l’observateur peut affirmer avec certitude que la variable est dans l’état signalé. Cette thèse porte sur d’autres types d’observations, souvent appelées observations incertaines, qui ne peuvent pas être représentées par la simple affectation de la variable. Cette thèse clarifie et étudie les différents concepts d’observations incertaines et propose différentes applications des observations incertaines dans les réseaux bayésiens.Nous commençons par dresser un état

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FALOTICO, ROSA. "Modelli ad Equazioni Strutturali e Reti Probabilistiche Bayesiane: due approcci a confronto nello studio di relazioni causali." Doctoral thesis, Università degli Studi di Milano-Bicocca, 2011. http://hdl.handle.net/10281/19444.

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Causality is a concept extremely important in science, but its definition is quite controversial and its detection is not exempt from problems. There are different approaches to deal with causality. Two of them are the Structural Equation Models (SEMs) and the Probabilistic Bayesian Networks (PBNs). SEMs are confirmative models. Given a causal structure, they test if it is coherent with data. In this context they are estimated using the Partial Least Squares Path Modeling technique in order to obtain the scores of latent variables. PBNs are inductive methods. Their attempt is to extract the ca

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Petiet, Florence. "Réseau bayésien dynamique hybride : application à la modélisation de la fiabilité de systèmes à espaces d'états discrets." Thesis, Paris Est, 2019. http://www.theses.fr/2019PESC2014/document.

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L'analyse de fiabilité fait partie intégrante de la conception et du fonctionnement du système, en particulier pour les systèmes exécutant des applications critiques. Des travaux récents ont montré l'intérêt d'utiliser les réseaux bayésiens dans le domaine de la fiabilité, pour modélisation la dégradation d'un système. Les modèles graphiques de durée sont un cas particulier des réseaux bayésiens, qui permettent de s'affranchir de la propriété markovienne des réseaux bayésiens dynamiques. Ils s'adaptent aux systèmes dont le temps de séjour dans chaque état n'est pas nécessairement distribué exp

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SYED, MUHAMMAD FARRUKH SHAHID. "Data-Driven Approach based on Deep Learning and Probabilistic Models for PHY-Layer Security in AI-enabled Cognitive Radio IoT." Doctoral thesis, Università degli studi di Genova, 2021. http://hdl.handle.net/11567/1048543.

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Cognitive Radio Internet of Things (CR-IoT) has revolutionized almost every field of life and reshaped the technological world. Several tiny devices are seamlessly connected in a CR-IoT network to perform various tasks in many applications. Nevertheless, CR-IoT surfers from malicious attacks that pulverize communication and perturb network performance. Therefore, recently it is envisaged to introduce higher-level Artificial Intelligence (AI) by incorporating Self-Awareness (SA) capabilities into CR-IoT objects to facilitate CR-IoT networks to establish secure transmission against vicious attac

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Koudelka, Vlastimil. "Pravděpodobnostní neuronové sítě pro speciální úlohy v elektromagnetismu." Doctoral thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2014. http://www.nusl.cz/ntk/nusl-233661.

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Tato práce pojednává o technikách behaviorálního modelování pro speciální úlohy v elektromagnetismu, které je možno formulovat jako problém aproximace, klasifikace, odhadu hustoty pravděpodobnosti nebo kombinatorické optimalizace. Zkoumané methody se dotýkají dvou základních problémů ze strojového učení a combinatorické optimalizace: ”bias vs. variance dilema” a NP výpočetní komplexity. Boltzmanův stroj je v práci navržen ke zjednodušování komplexních impedančních sítí. Bayesovský přístup ke strojovému učení je upraven pro regularizaci Parzenova okna se snahou o vytvoření obecného kritéria pro

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Tembo, Mouafo Serge Romaric. "Applications de l'intelligence artificielle à la détection et l'isolation de pannes multiples dans un réseau de télécommunications." Thesis, Ecole nationale supérieure Mines-Télécom Atlantique Bretagne Pays de la Loire, 2017. http://www.theses.fr/2017IMTA0004/document.

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Les réseaux de télécommunication doivent être fiables et robustes pour garantir la haute disponibilité des services. Les opérateurs cherchent actuellement à automatiser autant que possible les opérations complexes de gestion des réseaux, telles que le diagnostic de pannes.Dans cette thèse nous nous sommes intéressés au diagnostic automatique de pannes dans les réseaux d'accès optiques de l'opérateur Orange. L'outil de diagnostic utilisé jusqu'à présent, nommé DELC, est un système expert à base de règles de décision. Ce système est performant mais difficile à maintenir en raison, en particulier

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Rodriguez, Martinez Andres Florencio. "A probabilistic examplar based model." Thesis, University of Salford, 1998. http://usir.salford.ac.uk/14725/.

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A central problem in case based reasoning (CBR) is how to store and retrieve cases. One approach to this problem is to use exemplar based models, where only the prototypical cases are stored. However, the development of an exemplar based model (EBM) requires the solution of several problems: (i) how can a EBM be represented? (ii) given a new case, how can a suitable exemplar be retrieved? (iii) what makes a good exemplar? (iv) how can an EBM be learned incrementally? This thesis develops a new model, called a probabilistic exemplar based model, that addresses these research questions. The mode

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19

Todeschini, Adrien. "Probabilistic and Bayesian nonparametric approaches for recommender systems and networks." Thesis, Bordeaux, 2016. http://www.theses.fr/2016BORD0237/document.

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Nous proposons deux nouvelles approches pour les systèmes de recommandation et les réseaux. Dans la première partie, nous donnons d’abord un aperçu sur les systèmes de recommandation avant de nous concentrer sur les approches de rang faible pour la complétion de matrice. En nous appuyant sur une approche probabiliste, nous proposons de nouvelles fonctions de pénalité sur les valeurs singulières de la matrice de rang faible. En exploitant une représentation de modèle de mélange de cette pénalité, nous montrons qu’un ensemble de variables latentes convenablement choisi permet de développer un al

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20

Luo, Zhiyuan. "A probabilistic reasoning and learning system based on Bayesian belief networks." Thesis, Heriot-Watt University, 1992. http://hdl.handle.net/10399/1490.

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Ben, Ishak Mouna. "Probabilistic relational models : learning and evaluation : The relational Bayesian networks case." Nantes, 2015. https://archive.bu.univ-nantes.fr/pollux/show/show?id=28b20e1e-99b3-4956-b3aa-67c1e94e4790.

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L’apprentissage statistique relationnel est apparu au début des années 2000 comme un nouveau domaine de l’apprentissage machine permettant de raisonner d’une manière efficace et robuste directement sur des structures de données relationnelles. Plusieurs méthodes classiques de fouille de données ont été adaptées pour application directe sur des données relationnelles. Les réseaux Bayésiens Relationnels (RBR) présentent une extension des réseaux Bayésiens (RB) dans ce contexte. Pour se servir de ce modèle, il faut tout d’abord le construire : la structure et les paramètres du RBR doivent être dé

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Ancell, Trueba Rafael. "Aportaciones de las redes bayesianas en meteorología.Predicción probabilística de precipitación. Applications of Bayesian Networks in Meteorology. Probabilistic Forecast of Precipitation." Doctoral thesis, Universidad de Cantabria, 2009. http://hdl.handle.net/10803/113596.

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Esta tesis está dirigida principalmente a investigadores interesados en la aplicación de técnicas de minera de datos en Meteorología y otras ciencias medioambientales afines. De forma genérica, trata de la modelización probabilística de sistemas definidos por muchas variables, cuyas relaciones de dependencia son inferidas a partir de un conjunto representativo de datos. La idea es resolver algunos problemas prácticos relacionados con el diagnóstico y la predicción probabilística local en Meteorología, considerando el problema de la coherencia espacial. En concreto, el eje central de esta tesi

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MANFREDOTTI, CRISTINA ELENA. "Modeling and inference with relational dynamic bayesian networks." Doctoral thesis, Università degli Studi di Milano-Bicocca, 2010. http://hdl.handle.net/10281/7829.

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Many domains in the real world are richly structured, containing a diverse set of agents characterized by different set of features and related to each other in a variety of ways. Moreover, uncertainty both on the objects observations and on their relations can be present. This is the case of many problems as, for example, multi-target tracking, activity recognition, automatic surveillance and traffic monitoring. The common ground of these types of problems is the necessity of recognizing and understanding the scene, the activities that are going on, who are the actors, their role and estimat

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Kieling, Gustavo Luiz. "Inserção de conhecimento probabilístico para construção de agentes BDI modelados em redes bayesianas." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2011. http://hdl.handle.net/10183/28741.

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A representação do conhecimento de maneira mais fiel possível à realidade é uma meta histórica e não resolvida até o momento na área da Inteligência Artificial. Problemas são resolvidos e decisões são tomadas levando-se em conta diversos tipos de conhecimentos, os quais muitos são tendenciosos, inexatos, ambíguos ou ainda incompletos. A fim de tentar emular a capacidade de representação do conhecimento humano, levando-se em conta as diversas dificuldades inerentes, tem-se construído sistemas computacionais que armazenam o conhecimento das mais diversas formas. Dentro deste contexto, este traba

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Haußmann, Manuel [Verfasser], and Fred A. [Akademischer Betreuer] Hamprecht. "Bayesian Neural Networks for Probabilistic Machine Learning / Manuel Haußmann ; Betreuer: Fred A. Hamprecht." Heidelberg : Universitätsbibliothek Heidelberg, 2021. http://d-nb.info/1239116233/34.

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Lingasubramanian, Karthikeyan. "Estimation of switching activity in sequential circuits using dynamic Bayesian Networks." [Tampa, Fla.] : University of South Florida, 2004. http://purl.fcla.edu/fcla/etd/SFE0000411.

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Maturana, Marcos Coelho. "Aplicação de Redes Bayesianas na análise da contribuição do erro humano em acidentes de colisão." Universidade de São Paulo, 2010. http://www.teses.usp.br/teses/disponiveis/3/3135/tde-11082010-165909/.

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Recentemente, na indústria naval, a normatização por sociedades classificadoras e pela IMO (International Maritime Organization) tem apresentado uma mudança paulatina, migrando dos procedimentos prescritivos para uma estrutura regulatória baseada em risco. Tal perspectiva oferece algumas vantagens para operadores e armadores (empresas que exploram comercialmente as embarcações): 1) maior capacidade de incorporar projetos inovadores, tecnicamente superiores, a custos aceitáveis; 2) maior confiança quanto à segurança; 3) melhor entendimento de eventos de periculosidade, dos riscos enfrentados em

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Graversen, Therese. "Statistical and computational methodology for the analysis of forensic DNA mixtures with artefacts." Thesis, University of Oxford, 2014. http://ora.ox.ac.uk/objects/uuid:4c3bfc88-25e7-4c5b-968f-10a35f5b82b0.

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This thesis proposes and discusses a statistical model for interpreting forensic DNA mixtures. We develop methods for estimation of model parameters and assessing the uncertainty of the estimated quantities. Further, we discuss how to interpret the mixture in terms of predicting the set of contributors. We emphasise the importance of challenging any interpretation of a particular mixture, and for this purpose we develop a set of diagnostic tools that can be used in assessing the adequacy of the model to the data at hand as well as in a systematic validation of the model on experimental data. A

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Ali, Agha Mouhamad Shaker. "Probabilistic analysis of supply chains resilience based on their characteristics using dynamic Bayesian networks." Thesis, University of Strathclyde, 2016. http://digitool.lib.strath.ac.uk:80/R/?func=dbin-jump-full&object_id=27525.

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Srinivasan, Vivekanandan. "Real delay graphical probabilistic switching model for VLSI circuits." [Tampa, Fla.] : University of South Florida, 2004. http://purl.fcla.edu/fcla/etd/SFE0000538.

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Venkataramani, Praveen. "Sequential quantum dot cellular automata design and analysis using Dynamic Bayesian Networks." [Tampa, Fla] : University of South Florida, 2008. http://purl.fcla.edu/usf/dc/et/SFE0002787.

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Faria, Rodrigo Candido. "Redes probabilísticas: aprendendo estruturas e atualizando probabilidades." Universidade de São Paulo, 2014. http://www.teses.usp.br/teses/disponiveis/45/45133/tde-27062014-224607/.

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Redes probabilísticas são modelos muito versáteis, com aplicabilidade crescente em diversas áreas. Esses modelos são capazes de estruturar e mensurar a interação entre variáveis, permitindo que sejam realizados vários tipos de análises, desde diagnósticos de causas para algum fenômeno até previsões sobre algum evento, além de permitirem a construção de modelos de tomadas de decisões automatizadas. Neste trabalho são apresentadas as etapas para a construção dessas redes e alguns métodos usados para tal, dando maior ênfase para as chamadas redes bayesianas, uma subclasse de modelos de redes prob

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Boff, Elisa. "Colaboração em ambientes inteligentes de aprendizagem mediada por um agente social probabilístico." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2008. http://hdl.handle.net/10183/15747.

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Este trabalho propõe um modelo probabilístico de conhecimento e raciocínio para um agente, denominado Agente Social, cujo principal objetivo é analisar o perfil dos alunos, usuários de um Sistema Tutor Inteligente chamado AMPLIA, e compor grupos de trabalho. Para formar estes grupos, o Agente Social considera aspectos individuais do aluno e estratégias de formação de grupos. A aprendizagem colaborativa envolve relações sociais cujos processos são complexos e apresentam dificuldade para sua modelagem computacional. A fim de representar alguns elementos deste processo e de seus participantes, de

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Rejimon, Thara. "Reliability-centric probabilistic analysis of VLSI circuits." [Tampa, Fla] : University of South Florida, 2006. http://purl.fcla.edu/usf/dc/et/SFE0001707.

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Srivastava, Saket. "Probabilistic modeling of quantum-dot cellular automata." [Tampa, Fla.] : University of South Florida, 2007. http://purl.fcla.edu/usf/dc/et/SFE0002399.

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Ghanem, Amal Saleh. "Probabilistic models for mining imbalanced relational data." Thesis, Curtin University, 2009. http://hdl.handle.net/20.500.11937/2266.

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Most data mining and pattern recognition techniques are designed for learning from at data files with the assumption of equal populations per class. However, most real-world data are stored as rich relational databases that generally have imbalanced class distribution. For such domains, a rich relational technique is required to accurately model the different objects and relationships in the domain, which can not be easily represented as a set of simple attributes, and at the same time handle the imbalanced class problem.Motivated by the significance of mining imbalanced relational databases t

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Masood, Adnan. "Measuring Interestingness in Outliers with Explanation Facility using Belief Networks." NSUWorks, 2014. http://nsuworks.nova.edu/gscis_etd/232.

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This research explores the potential of improving the explainability of outliers using Bayesian Belief Networks as background knowledge. Outliers are deviations from the usual trends of data. Mining outliers may help discover potential anomalies and fraudulent activities. Meaningful outliers can be retrieved and analyzed by using domain knowledge. Domain knowledge (or background knowledge) is represented using probabilistic graphical models such as Bayesian belief networks. Bayesian networks are graph-based representation used to model and encode mutual relationships between entities. Due to t

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Dabla, Essi Ahoefa. "Approche bayesienne multiéchelle pour la modélisation de la fiabilité d'un module de puissance en environnement ferroviaire." Thesis, Toulouse, INPT, 2019. http://www.theses.fr/2019INPT0102.

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Le contrôle de la fiabilité des composants électroniques critiques est un des enjeux des acteurs du secteur ferroviaire. Les modules de puissance à IGBT (Insulated Gate Bipolar Transistors) appartiennent à cette liste de composants. Ils sont soumis à de fortes contraintes correspondant à celles rencontrées dans des environnements ferroviaires sévères. Les conditions environnementales rencontrées dans l’exploitation ferroviaire et les fortes exigences en termes de disponibilité imposent des niveaux de fiabilité élevés aux IGBT. Dans une optique d’amélioration de leur fiabilité, une méthodologie

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Rogge-Solti, Andreas. "Probabilistic Estimation of Unobserved Process Events." Phd thesis, Universität Potsdam, 2014. http://opus.kobv.de/ubp/volltexte/2014/7042/.

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Organizations try to gain competitive advantages, and to increase customer satisfaction. To ensure the quality and efficiency of their business processes, they perform business process management. An important part of process management that happens on the daily operational level is process controlling. A prerequisite of controlling is process monitoring, i.e., keeping track of the performed activities in running process instances. Only by process monitoring can business analysts detect delays and react to deviations from the expected or guaranteed performance of a process instance. To enable

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Leite, Filho Hugo Pereira. "APLICABILIDADE DE MEMÓRIA LÓGICA COMO FERRAMENTA COADJUVANTE NO DIAGNÓSTICO DAS DOENÇAS GENÉTICAS." Pontifícia Universidade Católica de Goiás, 2006. http://localhost:8080/tede/handle/tede/3073.

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Made available in DSpace on 2016-08-10T10:55:25Z (GMT). No. of bitstreams: 1 Hugo Pereira Leite Filho.pdf: 1747513 bytes, checksum: 1d5d4b0eff9478fb7f58eca6fa166bec (MD5) Previous issue date: 2006-08-25<br>This study has involved the interaction among knowledge in very distinctive areas, or else: informatics, engineering e genetics, emphasizing the building of a taking decision backing system methodology. The aim of this study has been the development of a tool to help in the diagnosis of chromosomal aberrations, presenting like tutorial model the Turner Syndrome. So to do that there have be

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Jackson, Zara. "Basal Metabolic Rate (BMR) estimation using Probabilistic Graphical Models." Thesis, Uppsala universitet, Statistiska institutionen, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-384629.

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Obesity is a growing problem globally. Currently 2.3 billion adults are overweight, and this number is rising. The most common method for weight loss is calorie counting, in which to lose weight a person should be in a calorie deficit. Basal Metabolic Rate accounts for the majority of calories a person burns in a day and it is therefore a major contributor to accurate calorie counting. This paper uses a Dynamic Bayesian Network to estimate Basal Metabolic Rate (BMR) for a sample of 219 individuals from all Body Mass Index (BMI) categories. The data was collected through the Lifesum app. A comp

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König, Johan. "Analyzing Substation Automation System Reliability using Probabilistic Relational Models and Enterprise Architecture." Doctoral thesis, KTH, Industriella informations- och styrsystem, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-145006.

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Modern society is unquestionably heavily reliant on supply of electricity. Hence, the power system is one of the important infrastructures for future growth. However, the power system of today was designed for a stable radial flow of electricity from large power plants to the customers and not for the type of changes it is presently being exposed to, like large scale integration of electric vehicles, wind power plants, residential photovoltaic systems etc. One aspect of power system control particular exposed to these changes is the design of power system control and protection functionality.

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Tran, Ngoc Hoang. "Extension des systèmes MES au diagnostic des performances des systèmes de production au travers d'une approche probabiliste Bayésienne." Thesis, Université Grenoble Alpes (ComUE), 2018. http://www.theses.fr/2018GREAI048/document.

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Cette thèse s'inscrit dans le domaine de la diagnostic, en particulier de Manufacturing Execution System (MES) . Elle apporte sa contribution au diagnostic de système en présence de défaillances potentielles suit à une variation du TRS, un indicateur de performance qui donne une image de l’état de fonctionnement d’un système de production (équipement, ligne, atelier, usine) à travers l’estimation des pertes selon trois origines : disponibilité, performance, qualité. L’objectif est de fournir le maximum d’informations sur les origines d’une variation du TRS afin de permettre à l'exploitant de p

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Foulliaron, Josquin. "Utilisation des modèles graphiques probabilistes pour la mise en place d'une politique de maintenance à base de pronostic." Thesis, Paris Est, 2015. http://www.theses.fr/2015PESC1205/document.

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Une des conséquences les plus marquantes de l'évolution actuelle de l’industrie ferroviaire est l'augmentation des contraintes exercées aussi bien sur les voies que sur les matériels roulants ; tant en termes de sollicitations, de charges, de fréquences, qu'en termes d'exigences de disponibilité et de sécurité. De ce fait, la recherche de politiques de maintenance optimales répondant aux objectifs de disponibilité, de coûts, de sécurité est devenue un sujet particulièrement d'actualité. Pour répondre à cette demande d’ajustement des stratégies de maintenance, le formalisme des réseaux bayésien

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Mroszczyk, Przemyslaw. "Computation with continuous mode CMOS circuits in image processing and probabilistic reasoning." Thesis, University of Manchester, 2014. https://www.research.manchester.ac.uk/portal/en/theses/computation-with-continuous-mode-cmos-circuits-in-image-processing-and-probabilistic-reasoning(57ae58b7-a08c-4a67-ab10-5c3a3cf70c09).html.

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The objective of the research presented in this thesis is to investigate alternative ways of information processing employing asynchronous, data driven, and analogue computation in massively parallel cellular processor arrays, with applications in machine vision and artificial intelligence. The use of cellular processor architectures, with only local neighbourhood connectivity, is considered in VLSI realisations of the trigger-wave propagation in binary image processing, and in Bayesian inference. Design issues, critical in terms of the computational precision and system performance, are exten

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Kosgodagan, Alex. "High-dimensional dependence modelling using Bayesian networks for the degradation of civil infrastructures and other applications." Thesis, Ecole nationale supérieure Mines-Télécom Atlantique Bretagne Pays de la Loire, 2017. http://www.theses.fr/2017IMTA0020/document.

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Cette thèse explore l’utilisation des réseaux Bayésiens (RB) afin de répondre à des problématiques de dégradation en grandes dimensions concernant des infrastructures du génie civil. Alors que les approches traditionnelles basées l’évolution physique déterministe de détérioration sont déficientes pour des problèmes à grande échelle, les gestionnaires d’ouvrages ont développé une connaissance de modèles nécessitant la gestion de l’incertain. L’utilisation de la dépendance probabiliste se révèle être une approche adéquate dans ce contexte tandis que la possibilité de modéliser l’incertain est un

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Nguyen, Dang-Trinh. "Diagnostic en ligne des systèmes à événements discrets complexes : approche mixte logique/probabiliste." Thesis, Université Grenoble Alpes (ComUE), 2015. http://www.theses.fr/2015GREAT067/document.

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Les systèmes de production auquel nous nous intéressons ici sont caractérisés par leur haut niveau de flexibilité et leur fort niveau d'incertitude lié par exemple à la forte variabilité de la demande, le haut niveau des technologies produites, un flux de production stressant, la présence d'opérateurs humains, de produits, etc. Le domaine de l'industrie du semi-conducteur est un exemple caractéristique de ce type de systèmes. Ces systèmes caractérisent également des équipements nombreux et couteux, des routes de produits diverses, voire même réentrantes sur un même équipement, des équipements

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Wang, Zhiyi. "évaluation du risque sismique par approches neuronales." Thesis, Université Paris-Saclay (ComUE), 2018. http://www.theses.fr/2018SACLC089/document.

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L'étude probabiliste de sûreté (EPS) parasismique est l'une des méthodologies les plus utiliséespour évaluer et assurer la performance des infrastructures critiques, telles que les centrales nucléaires,sous excitations sismiques. La thèse discute sur les aspects suivants: (i) Construction de méta-modèlesavec les réseaux de neurones pour construire les relations entre les intensités sismiques et les paramètresde demande des structures, afin d'accélérer l'analyse de fragilité. L'incertitude liée à la substitution desmodèles des éléments finis par les réseaux de neurones est étudiée. (ii) Proposi

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Luna, José Eduardo Ochoa. "Lógicas probabilísticas com relações de independência: representação de conhecimento e aprendizado de máquina." Universidade de São Paulo, 2011. http://www.teses.usp.br/teses/disponiveis/3/3152/tde-17082011-090935/.

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A combinação de lógica e probabilidade (lógicas probabilísticas) tem sido um tópico bastante estudado nas últimas décadas. A maioria de propostas para estes formalismos pressupõem que tanto as sentenças lógicas como as probabilidades sejam especificadas por especialistas. Entretanto, a crescente disponibilidade de dados relacionais sugere o uso de técnicas de aprendizado de máquina para produzir sentenças lógicas e estimar probabilidades. Este trabalho apresenta contribuições em termos de representação de conhecimento e aprendizado. Primeiro, uma linguagem lógica probabilística de primeira ord

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Rozas, Rony. "Intégration du retour d'expérience pour une stratégie de maintenance dynamique." Thesis, Paris Est, 2014. http://www.theses.fr/2014PEST1112/document.

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L'optimisation de stratégies de maintenance est un sujet primordial pour un grand nombre d'industriels. Il s'agit d'établir un plan de maintenance qui garantisse des niveaux de sécurité, de sûreté et de fiabilité élevé avec un coût minimum et respectant d'éventuelles contraintes. Le nombre de travaux grandissant sur l'optimisation de paramètres de maintenance et notamment sur la planification d'actions préventives de maintenance souligne l'intérêt de ce problème. Un grand nombre d'études sur la maintenance repose sur une modélisation du processus de dégradation du système étudié. Les Modèles G

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