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Dissertations / Theses on the topic 'Bayesian belief network'

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1

Pershad, Rinku. "A Bayesian belief network for corporate credit risk assessment." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape4/PQDD_0022/MQ50360.pdf.

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2

Sahely, Brian S. G. E. "Development of a Bayesian belief network for anaerobic wastewater treatment." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape4/PQDD_0027/MQ50490.pdf.

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3

Ejaz, Azad. "Using a Bayesian Belief Network for Going-Concern Risk Evaluation." NSUWorks, 2005. http://nsuworks.nova.edu/gscis_etd/500.

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An auditor's verdict on client's financial health is delivered in the form of a going concern (GC) opinion. Although an auditor is not required to predict the financial future of a client, stakeholders take the GC opinion as a guideline on a company's financial health. The GC opinion has been a subject of much debate in the financial literature, as it is one of the most widely read parts of an audit report. Researchers and academicians believe that auditors have made costly mistakes in rendering GC opinions. Several factors have been identified as the root causes for these mistakes, including
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Leerojanaprapa, Kanogkan. "A Bayesian belief network modelling process for systemic supply chain risk." Thesis, University of Strathclyde, 2014. http://oleg.lib.strath.ac.uk:80/R/?func=dbin-jump-full&object_id=23564.

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To effectively manage risk in supply chains, it is important to understand the interrelationships between risk events that might affect the flow of material, products and information within the chain. Typical supply chain risk management tends to treat events as if they are independent and so fail to capture the systemic nature of supply chain risks. This thesis addresses this shortcoming by developing a quantitative modelling process to support systemic supply chain risk analysis. Bayesian Belief Network (BBN) models are able to capture both the aleatory and epistemic uncertainties associated
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5

Ang, Kwang Chien. "Applying Bayesian belief networks in Sun Tzu's Art of war." Thesis, Monterey, California. Naval Postgraduate School, 2004. http://hdl.handle.net/10945/1323.

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Approved for public release; distribution in unlimited.<br>The principles of Sun Tzu's Art of War have been widely used by business executives and military officers with much success in the realm of competition and conflict. However, when conflict situations arise in a highly stressful environment coupled with the pressure of time, decision makers may not be able to consider all the key concepts when forming their decisions or strategies. Therefore, a structured reasoning approach may be used to apply Sun Tzu's principles correctly and fully. Sun Tzu's principles are believed to be able to be
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Nunoo, Samuel. "Bayesian Belief network approach to slope management in British Columbia open pits." Thesis, University of British Columbia, 2016. http://hdl.handle.net/2429/57946.

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The stability of rock slopes is a major safety issue in open pit mining. It is important for rock engineers and mine operators to be knowledgeable about their pit wall behaviour, and, more specifically, to recognize appropriate conditions that trigger the need to issue warnings or stop work orders. With the current increase in the number of open pit mines in British Columbia and the deepening of existing pits, there is a need for rational, scientifically based decisions in response to measured pit wall performance. The main objective of this research was to develop and establish a Bayesian Bel
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7

Lee, Keen Sing 1972. "Quantifying the Main Battle Tank's architectural trade space using Bayesian Belief Network." Thesis, Massachusetts Institute of Technology, 2004. http://hdl.handle.net/1721.1/34733.

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Thesis (S.M.)--Massachusetts Institute of Technology, System Design & Management Program, 2004.<br>Includes bibliographical references (p. 239-240).<br>The design and development of a Main Battle Tank can be characterized as a technically challenging and organizationally complex project. These projects are driven not only by the essential engineering and logistic tasks; as the frequency of technological innovation increases system architects are motivated to apply an effective method to assess the risks and benefits of adopting technological alternatives. This thesis applies Bayesian Belief Ne
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8

Gilson, Robert. "Minimizing input acquisition costs in a Bayesian belief network-based expert system /." Thesis, Connect to this title online; UW restricted, 1997. http://hdl.handle.net/1773/8763.

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9

Kim, Dohyoung 1970. "Bayesian Belief Network (BBN)-based advisory system development for steam generator replacement project management." Thesis, Massachusetts Institute of Technology, 2002. http://hdl.handle.net/1721.1/30011.

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Thesis (Sc. D.)--Massachusetts Institute of Technology, Dept. of Nuclear Engineering, 2002.<br>Includes bibliographical references (leaves 192-194).<br>The growing need for improved project management technique points to the usefulness of a knowledge-base advisory system to help project managers understand current and future project status and optimize decisions based upon the project performances. The work here demonstrates the framework of an advisory system with improved ability in project management. Based upon the literature survey and discussion with relevant experts, the Bayesian Belief
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10

REN, Qing. "Applying Bayesian Belief Network To Understand Public Perception On Green Stormwater Infrastructures In Vermont." ScholarWorks @ UVM, 2018. https://scholarworks.uvm.edu/graddis/835.

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Decisions of adopting best management practices made on residential properties play an important role in reduction of nutrient loading from non-point sources into Lake Champlain and other waterbodies in Vermont. In this study, we use Bayesian belief network (BBN) to analyze a 2015 survey dataset about adoption of six types of green infrastructures (GSIs) in Vermont’s residential areas. Learning BBNs from physical probabilities of the variables provides a visually explicit approach to reveal the message delivered by the dataset. Using both unsupervised and supervised machine learning algorithms
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Franco, Chiara. "Modelling the dynamics of CaCO3 budgets in changing environments using a Bayesian Belief Network approach." Thesis, University of Essex, 2014. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.654563.

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Multiple stressors on reefs are increasing the need for remedial actions to buffer anthropogenic pressure and reduce coral reef deterioration. In order to promote reef framework endurance, it is critical to identify and track down multiple stressor sources. To date, spatial and temporal variations of reef framework carbonate production and erosion have been estimated using carbonate budget assessments; however, these are limited in determining the extent to which various stressors are responsible for altering the budgetary state. This study has developed a Bayesian Network model (CARBNET) to i
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12

Oteniya, Lloyd. "Bayesian belief networks for dementia diagnosis and other applications : a comparison of hand-crafting and construction using a novel data driven technique." Thesis, University of Stirling, 2008. http://hdl.handle.net/1893/497.

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The Bayesian network (BN) formalism is a powerful representation for encoding domains characterised by uncertainty. However, before it can be used it must first be constructed, which is a major challenge for any real-life problem. There are two broad approaches, namely the hand-crafted approach, which relies on a human expert, and the data-driven approach, which relies on data. The former approach is useful, however issues such as human bias can introduce errors into the model. We have conducted a literature review of the expert-driven approach, and we have cherry-picked a number of common met
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Tang, Antony Shui Sum, and n/a. "A rationale-based model for architecture design reasoning." Swinburne University of Technology, 2007. http://adt.lib.swin.edu.au./public/adt-VSWT20070319.100952.

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Large systems often have a long life-span and their system and software architecture design comprise many intricately related elements. The verification and maintenance of these architecture designs require an understanding of how and why the system are constructed. Design rationale is the reasoning behind a design and it provides an explanation of the design. However, the reasoning is often undocumented or unstructured in practice. This causes difficulties in the understanding of the original design, and makes it hard to detect inconsistencies, omissions and conflicts without any explanations
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14

Spenkuch, Thomas. "A Bayesian belief network approach for modelling tactical decision-making in a multiple yacht race simulator." Thesis, University of Southampton, 2014. https://eprints.soton.ac.uk/366587/.

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The importance of human factors has to be taken into account when determining a yacht’s performance over a course. The crew’s capabilities of technical skills, athletic performance, and his/her ability of making rational decisions under time pressure and in light of uncertainty of the future wind regime are important aspects that will determine the overall performance of a yacht-crew system. This thesis highlights the performance of such a yacht-crew system with a focus on the decision-making process of sailors. Aspects of human behaviour in sport and the decision-making process are explained
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Shabarchin, Oleg. "Induced seismicity and corrosion vulnerability assessment of oil and gas pipelines using a Bayesian belief network model." Thesis, University of British Columbia, 2016. http://hdl.handle.net/2429/57569.

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A substantial amount of oil and gas products are transported and distributed via pipelines, which can stretch for thousands of kilometers. Because of the adverse environmental impact and significant financial losses, the integrity of these pipelines is essential. British Columbia Oil and Gas Commission (BCOGC) has indicated metal loss due to corrosion as one of the primary causes of pipeline failures. Therefore, it is important to identify pipelines subjected to severe corrosion in order to improve corrosion mitigation and pipeline maintenance strategies, thus minimizing the likelihood of fail
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Morgenroth, Josephine S. "Elastic stress modelling and prediction of ground class using a Bayesian Belief Network at the Kemano tunnels." Thesis, University of British Columbia, 2016. http://hdl.handle.net/2429/58971.

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The Kemano hydroelectric facility was constructed in the 1950s to supply power to the aluminum smelter in Kitimat, on the west coast of British Columbia. The Kemano project includes a 16 km long water conveyance tunnel that set world record advance rates in the 1950s, and 8 km of a partially completed tunnel. A risk management strategy was developed in the late 1980s in case of collapse of the first water conveyance tunnel, and by 1990 the excavation of a second tunnel parallel to the first had begun. Work halted in 1991 due to environmental litigation and change in political climate. In 2
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Dumas, Jeremiah Percy. "A spatial decision support system utilizing data from the Gap Analysis Program and a Bayesian Belief Network." Master's thesis, Mississippi State : Mississippi State University, 2005. http://library.msstate.edu/etd/show.asp?etd=etd-07072005-104946.

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Li, Mingmei. "Application of the Bayesian belief network model to evaluate variances in a clinical caremap: Radical prostatectomy case study." Thesis, University of Ottawa (Canada), 2004. http://hdl.handle.net/10393/26693.

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A clinical caremap is a cost-effective tool for clinical process improvement that has been accepted in hospitals and various healthcare organizations in many countries. However, compared to the literature describing the initial development of the clinical caremaps, the evaluation of the impact of the variances in the caremap pathway on the patient's expected outcomes and the patient's length of stay (LOS) remains relatively less analyzed. In this research, we deal with the issue of variances in the clinical caremap by building a Bayesian belief network named BBN_RPC to model the radical prosta
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Turschwell, Mischa Peter. "Thermal and Habitat Characteristics of a Headwater Fish Species: Predicting Population Success Under Climate Change." Thesis, Griffith University, 2017. http://hdl.handle.net/10072/367629.

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Streams are becoming increasingly fragmented by anthropogenic impacts related to altered thermal and hydrological regimes, dispersal barriers, land-use, introductions of non-native fish, habitat degradation, and altered disturbance regimes. Furthermore, relatively little is known about the ecology and spatio-temporal dynamics of a large proportion of freshwater fish populations and assemblages, making their conservation challenging. The general goal of my research was to improve ecological understanding of the drivers of fish distribution in upland streams, using the threatened Northern river
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Kim, Sojung. "Dynamic Learning and Human Interactions under the Extended Belief-Desire-Intention Framework for Transportation Systems." Diss., The University of Arizona, 2015. http://hdl.handle.net/10150/578837.

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In recent years, multi-agent traffic simulation has been widely used to accurately evaluate the performance of a road network considering individual and dynamic movements of vehicles under a virtual roadway environment. Given initial traffic demands and road conditions, the simulation is executed with multiple iterations and provides users with converged roadway conditions for the performance evaluation. For an accurate traffic simulation model, the driver's learning behavior is one of the major components to be concerned, as it affects road conditions (e.g., traffic flows) at each iteration a
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21

Jönsson, Jack. "Belief-aided Robust Control for Remote Electrical Tilt Optimization." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-301028.

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Remote Electrical Tilt (RET) is a method for configuring antenna downtilt in base stations to optimize mobile network performance. Reinforcement Learning (RL) is an approach to automating the process by letting an agent learn an optimal control strategy and adapt to the dynamic environment. Applying RL in real world comes with challenges, for the RET problem there are performance requirements and partial observability of the system through exogenous factors inducing noise in observations. This thesis proposes a solution method through modeling the problem by a Partially Observable Markov Decis
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22

Renken, Hendrik. "Macroalgal dynamics on Caribbean coral forereefs." Thesis, University of Exeter, 2008. http://hdl.handle.net/10036/41253.

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Tropical coral reefs are among the most diverse ecosystems of the world but facing increasing threats to their health. Over the last thirty years, many Caribbean coral reefs have undergone dramatic changes and experienced large losses in coral cover, due to direct and indirect anthropogenic disturbances. The results of which are reefs with low rugosity, changed trophic dynamics and low fish diversity. In recent times reefs have failed to recover from disturbances due to an increase in frequency and severity of disturbances and stresses. In the Caribbean on many coral reefs this has resulted in
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23

Odimabo, Onengiyeofori. "Risk management system to guide building construction projects in developing countries : a case study of Nigeria." Thesis, University of Wolverhampton, 2016. http://hdl.handle.net/2436/618537.

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Project risk assessment is an effective tool for planning and controlling cost, time and achieving the technical performance of a building construction project. Construction projects often face a lot of uncertainties, which places building construction projects at the risk of cost, time overruns as well as poor quality delivery. Considering the limited resources of developing countries, there is need to complete building projects on-time, on-budget, and to meet optimal quality hence, risk management is an important part of the decision making process in construction industry as it determines t
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Islam, Muhammad Saiful. "Modelling cost overrun risks in power plant projects." Thesis, Queensland University of Technology, 2019. https://eprints.qut.edu.au/125508/1/Muhammad%20Saiful_Islam_Thesis.pdf.

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Cost overruns in power plant projects frequently occur, and this very alarming phenomenon requires proper risk assessment and management in the early phase of power plant project development. A modified fuzzy group decision-making approach (FGDMA) was developed and the critical risks in different phases of thermal power plant project were identified. Further, a novel fuzzy canonical model (FCM) was developed and the complex causal risk-networks were modelled to understand the root causes of cost overruns. The benefits of this research to practitioners are such that it provides greater understa
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Suermondt, Henri Jacques. "Explanation in Bayesian belief networks." Full text available online (restricted access), 1992. http://images.lib.monash.edu.au/ts/theses/suermondt.pdf.

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26

Olson, John Thomas. "Hardware/software partitioning utilizing Bayesian belief networks." Diss., The University of Arizona, 2000. http://hdl.handle.net/10150/284156.

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In heterogeneous systems design, partitioning of the functional specifications into hardware and software components is an important procedure. Often, a hardware platform is chosen and the software is mapped onto the existing partial solution, or the actual partitioning is performed in an ad hoc manner. The partitioning approach presented here is novel in that it uses Bayesian Belief Networks (BBNs) to categorize functional components into hardware and software classifications. The BBN's ability to propagate evidence permits the effects of a classification decision made about one function to b
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Narasimha, Rajesh. "Application of Information Theory and Learning to Network and Biological Tomography." Diss., Georgia Institute of Technology, 2007. http://hdl.handle.net/1853/19889.

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Studying the internal characteristics of a network using measurements obtained from endhosts is known as network tomography. The foremost challenge in measurement-based approaches is the large size of a network, where only a subset of measurements can be obtained because of the inaccessibility of the entire network. As the network becomes larger, a question arises as to how rapidly the monitoring resources (number of measurements or number of samples) must grow to obtain a desired monitoring accuracy. Our work studies the scalability of the measurements with respect to the size of the network.
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Heather, Adele. "Bayesian belief networks using conditional phase-type distributions." Thesis, University of Ulster, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.369955.

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Likhari, Amitoj S. "Computing a maximal clique using Bayesian belief networks." [Gainesville, Fla.] : University of Florida, 2003. http://purl.fcla.edu/fcla/etd/UFE0000735.

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Saad, Ali. "Detection of Freezing of Gait in Parkinson's disease." Thesis, Le Havre, 2016. http://www.theses.fr/2016LEHA0029/document.

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Le risque de chute provoqué par le phénomène épisodique de ‘Freeze of Gait’ (FoG) est un symptôme commun de la maladie de Parkinson. Cette étude concerne la détection et le diagnostic des épisodes de FoG à l'aide d'un prototype multi-capteurs. La première contribution est l'introduction de nouveaux capteurs (télémètres et goniomètres) dans le dispositif de mesure pour la détection des épisodes de FoG. Nous montrons que l'information supplémentaire obtenue avec ces capteurs améliore les performances de la détection. La seconde contribution met œuvre un algorithme de détection basé sur des résea
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Gaskell, Alexander Paul. "Sensor managememt in mobile robotics using Bayesian belief networks." Thesis, University of Oxford, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.282200.

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32

Lampis, Mariapia. "Application of Bayesian Belief Networks to system fault diagnostics." Thesis, Loughborough University, 2010. https://dspace.lboro.ac.uk/2134/6864.

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Fault diagnostic methods aim to recognize when a fault exists on a system and to identify the failures which have caused it. The fault symptoms are obtained from readings of sensors located on the system. When the observed readings do not match those expected then a fault can exist. Using the detailed information provided by the sensors a list of the failures that are potential causes of the symptoms can be deduced. In the last decades, fault diagnostics has received growing attention due to the complexity of modern systems and the consequent need of more sophisticated techniques to identify f
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Carriger, John Fletcher Jr. "Bayesian belief networks for decision analysis in environmental management." W&M ScholarWorks, 2009. https://scholarworks.wm.edu/etd/1539791560.

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In decision problems that rely on technical or scientific data, values are often not explicitly considered, resulting in suboptimal environmental management decision-making. Yet, valuation is an integral part of the overall environmental management process. An environmental decision-making framework that places valuation at the forefront of the process is advocated. The application of values to environmental decisions should occur at every phase of analysis, not just the final weighing of decisions. Value-focused thinking will be used here to structure the problem and determine what is importa
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Rababah, Osama. "Quality assessment of e-commerce websites using Bayesian belief networks." Thesis, Loughborough University, 2007. https://dspace.lboro.ac.uk/2134/8011.

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This thesis raises the issue of quality in E-commerce websites and addresses methodologies and approaches to standardize their assessment. The thesis blends the knowledge of academic research with the opinions and insights from experts and practitioners in the field to provide a comprehensive view of the issues and their remedies. The most experienced and successful E-commerce companies are beginning to realize that key determinants of success or failure are not merely a web presence or a low price but delivering a high quality website. Recent research shows that price and promotion are no lon
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Beaver, Justin. "A LIFE CYCLE SOFTWARE QUALITY MODEL USING BAYESIAN BELIEF NETWORKS." Doctoral diss., University of Central Florida, 2006. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/2353.

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Software practitioners lack a consistent approach to assessing and predicting quality within their products. This research proposes a software quality model that accounts for the influences of development team skill/experience, process maturity, and problem complexity throughout the software engineering life cycle. The model is structured using Bayesian Belief Networks and, unlike previous efforts, uses widely-accepted software engineering standards and in-use industry techniques to quantify the indicators and measures of software quality. Data from 28 software engineering projects was acquire
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HUSSAIN, KAMALY MAHBUB. "Bayesian belief networks for guidedremote diagnostics and troubleshootingof heavy vehicles." Thesis, KTH, Maskinkonstruktion (Inst.), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-209906.

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Kostnadreducering och eektivisering av reparationer (t.ex i bilindustrin) har varit malet for forskningen kring guidad diagnostik i snart tvadecennier [ 1], med en onskan till intuitiv felsokning och reparation utan tidigare expert kunskaper. Detta betyder att automation vid diagnostik har blivit en nodvandighet dar det ar mojligt att forstakomplexa system samtidigt som operatoren ges tillrackligt med stod och expertkunskaper fr att kunna tillfora kompetent assistans. Detta examensarbete som utfordes paScania CV AB undersoker hur ett sadant system skulle utformas och prestera samtidigt som arb
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Ang, Kwang Chien. "Applying Bayesian belief Networks in Sun Tzu's Art of Wa /." Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2004. http://library.nps.navy.mil/uhtbin/hyperion/04Dec%5FAng.pdf.

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Siraj, Tammeen. "Seismic risk assessment of high-voltage transformers using Bayesian belief networks." Thesis, University of British Columbia, 2013. http://hdl.handle.net/2429/44245.

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Past earthquake records showed that a large magnitude earthquake can cause severe damage to high-voltage substations, which may lead to power disruption for a significant amount of time. A high-voltage transformer is one of the key components of a substation. This thesis proposes a probabilistic framework using Bayesian belief network (BBN) model to predict the vulnerability of a high-voltage transformer for a seismic event. BBN has many capabilities that make it well suited for the proposed risk assessment method. This thesis considers past studies, expert knowledge and reported causes of fai
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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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Goodson, Justin. "Assessing the quality of care in nursing homes through Bayesian belief networks." Diss., Columbia, Mo. : University of Missouri-Columbia, 2005. http://hdl.handle.net/10355/4286.

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Thesis (M.S.)--University of Missouri-Columbia, 2005.<br>The entire dissertation/thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file (which also appears in the research.pdf); a non-technical general description, or public abstract, appears in the public.pdf file. Title from title screen of research.pdf file viewed on (July 13, 2006) Includes bibliographical references.
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Chong, H. G. "Predicting and diagnosing faults in wastewater treatment process by Bayesian Belief Networks." Thesis, Aston University, 1997. http://publications.aston.ac.uk/14154/.

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Diagnosing faults in wastewater treatment, like diagnosis of most problems, requires bi-directional plausible reasoning. This means that both predictive (from causes to symptoms) and diagnostic (from symptoms to causes) inferences have to be made, depending on the evidence available, in reasoning for the final diagnosis. The use of computer technology for the purpose of diagnosing faults in the wastewater process has been explored, and a rule-based expert system was initiated. It was found that such an approach has serious limitations in its ability to reason bi-directionally, which makes it u
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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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Durá-Bernal, Salvador. "A cortical model of object perception based on Bayesian networks and belief propagation." Thesis, University of Plymouth, 2011. http://hdl.handle.net/10026.1/540.

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Evidence suggests that high-level feedback plays an important role in visual perception by shaping the response in lower cortical levels (Sillito et al. 2006, Angelucci and Bullier 2003, Bullier 2001, Harrison et al. 2007). A notable example of this is reflected by the retinotopic activation of V1 and V2 neurons in response to illusory contours, such as Kanizsa figures, which has been reported in numerous studies (Maertens et al. 2008, Seghier and Vuilleumier 2006, Halgren et al. 2003, Lee 2003, Lee and Nguyen 2001). The illusory contour activity emerges first in lateral occipital cortex (LOC)
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Das, Bibhash. "Technical Due Diligence Assessment and Bayesian Belief Networks Methodology for Wind Power Projects." Thesis, Uppsala universitet, Institutionen för geovetenskaper, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-224063.

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A Technical Due Diligence (TDD) investigation is an important step in the process of obtaining financing, or in mergers and acquisitions, for a wind power project. The investigation, the scope of which varies depending on the stage and nature of the project, involves reviewing important documentation relating to different aspects of the project, assessing potential risks in terms of the quality of the information available and suggesting mitigation or other risk management measures where required. A TDD assessment can greatly benefit from increased objectivity in terms of the reviewed aspects
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Kevorkian, Christopher George. "UAS Risk Analysis using Bayesian Belief Networks: An Application to the VirginiaTech ESPAARO." Thesis, Virginia Tech, 2016. http://hdl.handle.net/10919/73047.

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Small Unmanned Aerial Vehicles (SUAVs) are rapidly being adopted in the National Airspace (NAS) but experience a much higher failure rate than traditional aircraft. These SUAVs are quickly becoming complex enough to investigate alternative methods of failure analysis. This thesis proposes a method of expanding on the Fault Tree Analysis (FTA) method to a Bayesian Belief Network (BBN) model. FTA is demonstrated to be a special case of BBN and BBN can allow for more complex interactions between nodes than is allowed by FTA. A model can be investigated to determine the components to which failure
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Selvatici, Antonio Henrique Pinto. "Construção de mapas de objetos para navegação de robôs." Universidade de São Paulo, 2009. http://www.teses.usp.br/teses/disponiveis/3/3141/tde-01072009-153749/.

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Como a complexidade das tarefas realizadas por robôs móveis vêm aumentando a cada dia, a percepção do robô deve ser capaz de capturar informações mais ricas do ambiente, que permitam a tomada de decisões complexas. Entre os possíveis tipos de informação que podem ser obtidos do ambiente, as informações geométricas e semânticas têm papéis importantes na maioria das tarefas designadas a robôs. Enquanto as informações geométricas revelam como os objetos e obstáculos estão distribuídos no espaço, as informações semânticas capturam a presença de estruturas complexas e eventos em andamento no ambien
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47

Anderson, Jerone S. "A Study of Nutrient Dynamics in Old Woman Creek Using Artificial Neural Networks and Bayesian Belief Networks." Ohio University / OhioLINK, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1242921000.

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48

Zhao, Xi. "3D face analysis : landmarking, expression recognition and beyond." Phd thesis, Ecole Centrale de Lyon, 2010. http://tel.archives-ouvertes.fr/tel-00599660.

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This Ph.D thesis work is dedicated to automatic facial analysis in 3D, including facial landmarking and facial expression recognition. Indeed, facial expression plays an important role both in verbal and non verbal communication, and in expressing emotions. Thus, automatic facial expression recognition has various purposes and applications and particularly is at the heart of "intelligent" human-centered human/computer(robot) interfaces. Meanwhile, automatic landmarking provides aprior knowledge on location of face landmarks, which is required by many face analysis methods such as face segmenta
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49

Agrawal, Prerna. "Tool And Algorithms for Rapid Source Term Prediction (RASTEP) Based on Bayesian Belief Networks." Thesis, Uppsala universitet, Institutionen för informationsteknologi, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-256964.

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In case of an accident in a nuclear power plant (NPP), the fast and cor-rect identification of the NPP state that would give a prediction of a possible radioactive release presents a major challenge to both nuclear power plants and regulators. Such prediction is important so that correct and timely decisions and measures are taken to mitigate accident consequences, such as evacuation of people from areas around the power plant. Recent research work [2][3] proposes analyzing the NPP using the Bayesian Belief Network models as a solution to this problem. A BBN is a graphical model that represent
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Punyamurthula, Sudhir. "BAYESIAN-INTEGRATED SYSTEM DYNAMICS MODELLING FOR PRODUCTION LINE RISK ASSESSMENT." UKnowledge, 2018. https://uknowledge.uky.edu/me_etds/124.

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Companies, across the globe are concerned with risks that impair their ability to produce quality products at a low cost and deliver them to customers on time. Risk assessment, comprising of both external and internal elements, prepares companies to identify and manage the risks affecting them. Although both external/supply chain and internal/production line risk assessments are necessary, internal risk assessment is often ignored. Internal risk assessment helps companies recognize vulnerable sections of production operations and provide opportunities for risk mitigation. In this research, a n
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