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You searched for subject:(Bayesian Network). Showing records 1 – 30 of 441 total matches.

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Mississippi State University

1. Banghart, Marc. Bayesian network analysis for diagnostics and prognostics of engineering systems.

Degree: PhD, Industrial and Systems Engineering, 2017, Mississippi State University

Bayesian networks have been applied to many different domains to perform prognostics, reduce risk and ultimately improve decision making. However, these methods have not… (more)

Subjects/Keywords: risk; prognostics; diagnostics; network; bayesian

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APA (6th Edition):

Banghart, M. (2017). Bayesian network analysis for diagnostics and prognostics of engineering systems. (Doctoral Dissertation). Mississippi State University. Retrieved from http://sun.library.msstate.edu/ETD-db/theses/available/etd-04202017-144204/ ;

Chicago Manual of Style (16th Edition):

Banghart, Marc. “Bayesian network analysis for diagnostics and prognostics of engineering systems.” 2017. Doctoral Dissertation, Mississippi State University. Accessed February 27, 2021. http://sun.library.msstate.edu/ETD-db/theses/available/etd-04202017-144204/ ;.

MLA Handbook (7th Edition):

Banghart, Marc. “Bayesian network analysis for diagnostics and prognostics of engineering systems.” 2017. Web. 27 Feb 2021.

Vancouver:

Banghart M. Bayesian network analysis for diagnostics and prognostics of engineering systems. [Internet] [Doctoral dissertation]. Mississippi State University; 2017. [cited 2021 Feb 27]. Available from: http://sun.library.msstate.edu/ETD-db/theses/available/etd-04202017-144204/ ;.

Council of Science Editors:

Banghart M. Bayesian network analysis for diagnostics and prognostics of engineering systems. [Doctoral Dissertation]. Mississippi State University; 2017. Available from: http://sun.library.msstate.edu/ETD-db/theses/available/etd-04202017-144204/ ;


Texas A&M University

2. Leon Caceres, Susana. Safety Problems Caused by Hydrate Formation in Deepwater Production Operation.

Degree: MS, Safety Engineering, 2017, Texas A&M University

 Although hydrate formation phenomenon has been identified for many years, this is still one of the most challenging problems in oil & gas industry as… (more)

Subjects/Keywords: Hydrates; Safety; Bayesian Network; Reliability

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APA (6th Edition):

Leon Caceres, S. (2017). Safety Problems Caused by Hydrate Formation in Deepwater Production Operation. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/166040

Chicago Manual of Style (16th Edition):

Leon Caceres, Susana. “Safety Problems Caused by Hydrate Formation in Deepwater Production Operation.” 2017. Masters Thesis, Texas A&M University. Accessed February 27, 2021. http://hdl.handle.net/1969.1/166040.

MLA Handbook (7th Edition):

Leon Caceres, Susana. “Safety Problems Caused by Hydrate Formation in Deepwater Production Operation.” 2017. Web. 27 Feb 2021.

Vancouver:

Leon Caceres S. Safety Problems Caused by Hydrate Formation in Deepwater Production Operation. [Internet] [Masters thesis]. Texas A&M University; 2017. [cited 2021 Feb 27]. Available from: http://hdl.handle.net/1969.1/166040.

Council of Science Editors:

Leon Caceres S. Safety Problems Caused by Hydrate Formation in Deepwater Production Operation. [Masters Thesis]. Texas A&M University; 2017. Available from: http://hdl.handle.net/1969.1/166040


Texas A&M University

3. Alyami, Abdullah. Using Bayesian Network to Develop Drilling Expert Systems.

Degree: PhD, Petroleum Engineering, 2012, Texas A&M University

 Long years of experience in the field and sometimes in the lab are required to develop consultants. Texas A&M University recently has established a new… (more)

Subjects/Keywords: Drilling Expert System; bayesian network

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APA (6th Edition):

Alyami, A. (2012). Using Bayesian Network to Develop Drilling Expert Systems. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2012-08-11454

Chicago Manual of Style (16th Edition):

Alyami, Abdullah. “Using Bayesian Network to Develop Drilling Expert Systems.” 2012. Doctoral Dissertation, Texas A&M University. Accessed February 27, 2021. http://hdl.handle.net/1969.1/ETD-TAMU-2012-08-11454.

MLA Handbook (7th Edition):

Alyami, Abdullah. “Using Bayesian Network to Develop Drilling Expert Systems.” 2012. Web. 27 Feb 2021.

Vancouver:

Alyami A. Using Bayesian Network to Develop Drilling Expert Systems. [Internet] [Doctoral dissertation]. Texas A&M University; 2012. [cited 2021 Feb 27]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2012-08-11454.

Council of Science Editors:

Alyami A. Using Bayesian Network to Develop Drilling Expert Systems. [Doctoral Dissertation]. Texas A&M University; 2012. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2012-08-11454


Boston University

4. Bae, Harold Taehyun. Understanding the genetic basis of complex polygenic traits through Bayesian model selection of multiple genetic models and network modeling of family-based genetic data.

Degree: PhD, Biostatistics, 2014, Boston University

 The global aim of this dissertation is to develop advanced statistical modeling to understand the genetic basis of complex polygenic traits. In order to achieve… (more)

Subjects/Keywords: Biostatistics; Bayesian; Network; Parameterization; GWAS

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APA (6th Edition):

Bae, H. T. (2014). Understanding the genetic basis of complex polygenic traits through Bayesian model selection of multiple genetic models and network modeling of family-based genetic data. (Doctoral Dissertation). Boston University. Retrieved from http://hdl.handle.net/2144/15337

Chicago Manual of Style (16th Edition):

Bae, Harold Taehyun. “Understanding the genetic basis of complex polygenic traits through Bayesian model selection of multiple genetic models and network modeling of family-based genetic data.” 2014. Doctoral Dissertation, Boston University. Accessed February 27, 2021. http://hdl.handle.net/2144/15337.

MLA Handbook (7th Edition):

Bae, Harold Taehyun. “Understanding the genetic basis of complex polygenic traits through Bayesian model selection of multiple genetic models and network modeling of family-based genetic data.” 2014. Web. 27 Feb 2021.

Vancouver:

Bae HT. Understanding the genetic basis of complex polygenic traits through Bayesian model selection of multiple genetic models and network modeling of family-based genetic data. [Internet] [Doctoral dissertation]. Boston University; 2014. [cited 2021 Feb 27]. Available from: http://hdl.handle.net/2144/15337.

Council of Science Editors:

Bae HT. Understanding the genetic basis of complex polygenic traits through Bayesian model selection of multiple genetic models and network modeling of family-based genetic data. [Doctoral Dissertation]. Boston University; 2014. Available from: http://hdl.handle.net/2144/15337


University of Technology, Sydney

5. Patel, M. A probabilistic model for assistive robotics devices to support activities of daily living.

Degree: 2014, University of Technology, Sydney

 This thesis explores probabilistic techniques to model interactions between humans and robotic devices. The work is motivated by the rapid increase in the ageing population… (more)

Subjects/Keywords: Assistive robotics.; Dynamic Bayesian network.

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APA (6th Edition):

Patel, M. (2014). A probabilistic model for assistive robotics devices to support activities of daily living. (Thesis). University of Technology, Sydney. Retrieved from http://hdl.handle.net/10453/29215

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Patel, M. “A probabilistic model for assistive robotics devices to support activities of daily living.” 2014. Thesis, University of Technology, Sydney. Accessed February 27, 2021. http://hdl.handle.net/10453/29215.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Patel, M. “A probabilistic model for assistive robotics devices to support activities of daily living.” 2014. Web. 27 Feb 2021.

Vancouver:

Patel M. A probabilistic model for assistive robotics devices to support activities of daily living. [Internet] [Thesis]. University of Technology, Sydney; 2014. [cited 2021 Feb 27]. Available from: http://hdl.handle.net/10453/29215.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Patel M. A probabilistic model for assistive robotics devices to support activities of daily living. [Thesis]. University of Technology, Sydney; 2014. Available from: http://hdl.handle.net/10453/29215

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Arizona

6. Liu, Xiang. Aquatic Microbial Community Modeling With Dynamic Bayesian Networks .

Degree: 2020, University of Arizona

 Microorganisms, and the communities they form, serve a crucial role in maintaining the ecosystem's energy balance, recycling nutrients, and the neutralization and degradation of toxins… (more)

Subjects/Keywords: Bayesian Network; Community modeling

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APA (6th Edition):

Liu, X. (2020). Aquatic Microbial Community Modeling With Dynamic Bayesian Networks . (Doctoral Dissertation). University of Arizona. Retrieved from http://hdl.handle.net/10150/650807

Chicago Manual of Style (16th Edition):

Liu, Xiang. “Aquatic Microbial Community Modeling With Dynamic Bayesian Networks .” 2020. Doctoral Dissertation, University of Arizona. Accessed February 27, 2021. http://hdl.handle.net/10150/650807.

MLA Handbook (7th Edition):

Liu, Xiang. “Aquatic Microbial Community Modeling With Dynamic Bayesian Networks .” 2020. Web. 27 Feb 2021.

Vancouver:

Liu X. Aquatic Microbial Community Modeling With Dynamic Bayesian Networks . [Internet] [Doctoral dissertation]. University of Arizona; 2020. [cited 2021 Feb 27]. Available from: http://hdl.handle.net/10150/650807.

Council of Science Editors:

Liu X. Aquatic Microbial Community Modeling With Dynamic Bayesian Networks . [Doctoral Dissertation]. University of Arizona; 2020. Available from: http://hdl.handle.net/10150/650807


Texas A&M University

7. Barua, Shubharthi. Dynamic Operational Risk Assessment with Bayesian Network.

Degree: MS, Safety Engineering, 2012, Texas A&M University

 Oil/gas and petrochemical plants are complicated and dynamic in nature. Dynamic characteristics include ageing of equipment/components, season changes, stochastic processes, operator response times, inspection and… (more)

Subjects/Keywords: Bayesian network; dynamic Bayesian network; dynamic operational risk assessment

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APA (6th Edition):

Barua, S. (2012). Dynamic Operational Risk Assessment with Bayesian Network. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2012-08-11573

Chicago Manual of Style (16th Edition):

Barua, Shubharthi. “Dynamic Operational Risk Assessment with Bayesian Network.” 2012. Masters Thesis, Texas A&M University. Accessed February 27, 2021. http://hdl.handle.net/1969.1/ETD-TAMU-2012-08-11573.

MLA Handbook (7th Edition):

Barua, Shubharthi. “Dynamic Operational Risk Assessment with Bayesian Network.” 2012. Web. 27 Feb 2021.

Vancouver:

Barua S. Dynamic Operational Risk Assessment with Bayesian Network. [Internet] [Masters thesis]. Texas A&M University; 2012. [cited 2021 Feb 27]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2012-08-11573.

Council of Science Editors:

Barua S. Dynamic Operational Risk Assessment with Bayesian Network. [Masters Thesis]. Texas A&M University; 2012. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2012-08-11573

8. Dirksen, M. DNA mixture analysis.

Degree: 2014, Universiteit Utrecht

 A model for peak height distribution using the bivariate normal distribution is proposed to deal with some flaws of the already established model using the… (more)

Subjects/Keywords: DNA mixtures; bayesian network; forensic science

…Es ) . (31) θ,φ 5.2 Bayesian network Si1 Si2 Si3 Si4 Si5 Si6 Partial sums of allele… …allele counts Figure 1: Bayesian network with nia -variables representing allele counts of… …bayesian network is dependent on the model used as well. In both cases the O-variables will be… …Figure 2: Bayesian network used for the Bivariate Normal model with nia -variables representing… …variables, the structure of the bayesian network used for the Gamma model (figure 1) would suffice… 

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APA (6th Edition):

Dirksen, M. (2014). DNA mixture analysis. (Masters Thesis). Universiteit Utrecht. Retrieved from http://dspace.library.uu.nl:8080/handle/1874/296913

Chicago Manual of Style (16th Edition):

Dirksen, M. “DNA mixture analysis.” 2014. Masters Thesis, Universiteit Utrecht. Accessed February 27, 2021. http://dspace.library.uu.nl:8080/handle/1874/296913.

MLA Handbook (7th Edition):

Dirksen, M. “DNA mixture analysis.” 2014. Web. 27 Feb 2021.

Vancouver:

Dirksen M. DNA mixture analysis. [Internet] [Masters thesis]. Universiteit Utrecht; 2014. [cited 2021 Feb 27]. Available from: http://dspace.library.uu.nl:8080/handle/1874/296913.

Council of Science Editors:

Dirksen M. DNA mixture analysis. [Masters Thesis]. Universiteit Utrecht; 2014. Available from: http://dspace.library.uu.nl:8080/handle/1874/296913


Vanderbilt University

9. Ling, You. Uncertainty quantification in time-dependent reliability analysis.

Degree: PhD, Civil Engineering, 2013, Vanderbilt University

 The prediction of failure probability for engineering components/devices under service conditions often involves the use of predictive models and measurement data. The fact that no… (more)

Subjects/Keywords: Bayesian network; calibration; validation; model uncertainty; reliability

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APA (6th Edition):

Ling, Y. (2013). Uncertainty quantification in time-dependent reliability analysis. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://hdl.handle.net/1803/14008

Chicago Manual of Style (16th Edition):

Ling, You. “Uncertainty quantification in time-dependent reliability analysis.” 2013. Doctoral Dissertation, Vanderbilt University. Accessed February 27, 2021. http://hdl.handle.net/1803/14008.

MLA Handbook (7th Edition):

Ling, You. “Uncertainty quantification in time-dependent reliability analysis.” 2013. Web. 27 Feb 2021.

Vancouver:

Ling Y. Uncertainty quantification in time-dependent reliability analysis. [Internet] [Doctoral dissertation]. Vanderbilt University; 2013. [cited 2021 Feb 27]. Available from: http://hdl.handle.net/1803/14008.

Council of Science Editors:

Ling Y. Uncertainty quantification in time-dependent reliability analysis. [Doctoral Dissertation]. Vanderbilt University; 2013. Available from: http://hdl.handle.net/1803/14008


University of Toronto

10. Singhal, Tarun Kumar. CIVIL INFRASTRUCTURE RESILIENCE ASSESSMENT FRAMEWORK (CIRAF).

Degree: 2018, University of Toronto

Disruptive events (e.g., earthquakes or floods) causes severe damage to civil infrastructural systems, and there is need to extend the focus of traditional design practices… (more)

Subjects/Keywords: bayesian network; fragility; functionality; resilience; software; 0537

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APA (6th Edition):

Singhal, T. K. (2018). CIVIL INFRASTRUCTURE RESILIENCE ASSESSMENT FRAMEWORK (CIRAF). (Masters Thesis). University of Toronto. Retrieved from http://hdl.handle.net/1807/91577

Chicago Manual of Style (16th Edition):

Singhal, Tarun Kumar. “CIVIL INFRASTRUCTURE RESILIENCE ASSESSMENT FRAMEWORK (CIRAF).” 2018. Masters Thesis, University of Toronto. Accessed February 27, 2021. http://hdl.handle.net/1807/91577.

MLA Handbook (7th Edition):

Singhal, Tarun Kumar. “CIVIL INFRASTRUCTURE RESILIENCE ASSESSMENT FRAMEWORK (CIRAF).” 2018. Web. 27 Feb 2021.

Vancouver:

Singhal TK. CIVIL INFRASTRUCTURE RESILIENCE ASSESSMENT FRAMEWORK (CIRAF). [Internet] [Masters thesis]. University of Toronto; 2018. [cited 2021 Feb 27]. Available from: http://hdl.handle.net/1807/91577.

Council of Science Editors:

Singhal TK. CIVIL INFRASTRUCTURE RESILIENCE ASSESSMENT FRAMEWORK (CIRAF). [Masters Thesis]. University of Toronto; 2018. Available from: http://hdl.handle.net/1807/91577

11. Lindberg, Martin. Decision Support Systems: Diagnostics and Explanation methods : In the context of telecommunication networks.

Degree: Physics, 2013, Umeå University

  This thesis work, conducted at Ericsson Software Research, aims to recommend a system setup for a tool to help troubleshooting personal at network operation… (more)

Subjects/Keywords: Bayesian network

…Configuration Server BBN – Bayesian Belief Network BN – Bayesian Network BO – Back Office BPEL… …different algorithms to build a Bayesian network and a discussion about discretisation of… …what a Bayesian network is which is followed by related explanation methods. Last in this… …or prone it. [12] [13] 3.1.2 Bayesian network (BN) Bayesian… …independent if knowledge about the causes is provided. 3.4 Bayesian Networks A Bayesian network… 

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APA (6th Edition):

Lindberg, M. (2013). Decision Support Systems: Diagnostics and Explanation methods : In the context of telecommunication networks. (Thesis). Umeå University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-73666

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Lindberg, Martin. “Decision Support Systems: Diagnostics and Explanation methods : In the context of telecommunication networks.” 2013. Thesis, Umeå University. Accessed February 27, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-73666.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Lindberg, Martin. “Decision Support Systems: Diagnostics and Explanation methods : In the context of telecommunication networks.” 2013. Web. 27 Feb 2021.

Vancouver:

Lindberg M. Decision Support Systems: Diagnostics and Explanation methods : In the context of telecommunication networks. [Internet] [Thesis]. Umeå University; 2013. [cited 2021 Feb 27]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-73666.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Lindberg M. Decision Support Systems: Diagnostics and Explanation methods : In the context of telecommunication networks. [Thesis]. Umeå University; 2013. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-73666

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

12. Dokoohaki, Hamze. The promise of biochar: From lab experiment to national scale impacts.

Degree: 2018, Iowa State University

 Biochar is a carbon rich soil amendment produced from biomass by a thermochemical process, pyrolysis or gasication. Soil biochar applications have generated a great deal… (more)

Subjects/Keywords: APSIM; Bayesian Network; Biochar; Crop modeling; Agriculture

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APA (6th Edition):

Dokoohaki, H. (2018). The promise of biochar: From lab experiment to national scale impacts. (Thesis). Iowa State University. Retrieved from https://lib.dr.iastate.edu/etd/16570

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Dokoohaki, Hamze. “The promise of biochar: From lab experiment to national scale impacts.” 2018. Thesis, Iowa State University. Accessed February 27, 2021. https://lib.dr.iastate.edu/etd/16570.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Dokoohaki, Hamze. “The promise of biochar: From lab experiment to national scale impacts.” 2018. Web. 27 Feb 2021.

Vancouver:

Dokoohaki H. The promise of biochar: From lab experiment to national scale impacts. [Internet] [Thesis]. Iowa State University; 2018. [cited 2021 Feb 27]. Available from: https://lib.dr.iastate.edu/etd/16570.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Dokoohaki H. The promise of biochar: From lab experiment to national scale impacts. [Thesis]. Iowa State University; 2018. Available from: https://lib.dr.iastate.edu/etd/16570

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Guelph

13. Jiang, Qian. Approximation of General CPTs with NIN-AND Tree Models.

Degree: MS, School of Computer Science, 2017, University of Guelph

 A Bayesian network (BN) is a probabilistic graphical model representing causal dependence and conditional independence among domain variables. The strength of dependence is quantified by… (more)

Subjects/Keywords: Bayesian Network; CPT; NIN-AND Tree Model

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APA (6th Edition):

Jiang, Q. (2017). Approximation of General CPTs with NIN-AND Tree Models. (Masters Thesis). University of Guelph. Retrieved from https://atrium.lib.uoguelph.ca/xmlui/handle/10214/10164

Chicago Manual of Style (16th Edition):

Jiang, Qian. “Approximation of General CPTs with NIN-AND Tree Models.” 2017. Masters Thesis, University of Guelph. Accessed February 27, 2021. https://atrium.lib.uoguelph.ca/xmlui/handle/10214/10164.

MLA Handbook (7th Edition):

Jiang, Qian. “Approximation of General CPTs with NIN-AND Tree Models.” 2017. Web. 27 Feb 2021.

Vancouver:

Jiang Q. Approximation of General CPTs with NIN-AND Tree Models. [Internet] [Masters thesis]. University of Guelph; 2017. [cited 2021 Feb 27]. Available from: https://atrium.lib.uoguelph.ca/xmlui/handle/10214/10164.

Council of Science Editors:

Jiang Q. Approximation of General CPTs with NIN-AND Tree Models. [Masters Thesis]. University of Guelph; 2017. Available from: https://atrium.lib.uoguelph.ca/xmlui/handle/10214/10164


Georgia State University

14. Chen, Le. Seeking Direct Coastal Erosion Associated Factors in the United States Shorelines.

Degree: MS, Mathematics and Statistics, 2016, Georgia State University

  Sea-level rise is projected to have a wide range of effects on coastal environments, developments, and infrastructure. Based on the U.S. Geological Survey (USGS)… (more)

Subjects/Keywords: Bayesian Network; Direct Factors; Shoreline Erosion

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APA (6th Edition):

Chen, L. (2016). Seeking Direct Coastal Erosion Associated Factors in the United States Shorelines. (Thesis). Georgia State University. Retrieved from https://scholarworks.gsu.edu/math_theses/155

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Chen, Le. “Seeking Direct Coastal Erosion Associated Factors in the United States Shorelines.” 2016. Thesis, Georgia State University. Accessed February 27, 2021. https://scholarworks.gsu.edu/math_theses/155.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Chen, Le. “Seeking Direct Coastal Erosion Associated Factors in the United States Shorelines.” 2016. Web. 27 Feb 2021.

Vancouver:

Chen L. Seeking Direct Coastal Erosion Associated Factors in the United States Shorelines. [Internet] [Thesis]. Georgia State University; 2016. [cited 2021 Feb 27]. Available from: https://scholarworks.gsu.edu/math_theses/155.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Chen L. Seeking Direct Coastal Erosion Associated Factors in the United States Shorelines. [Thesis]. Georgia State University; 2016. Available from: https://scholarworks.gsu.edu/math_theses/155

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Adelaide

15. Gray, Caitlin. On the application of Bayesian inference to network estimation problems.

Degree: 2020, University of Adelaide

 Interconnected network structures play a crucial role in many aspects of our lives. Understanding these networks and the dynamic processes that can propagate over them… (more)

Subjects/Keywords: Network inference; information cascades; Bayesian inference

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APA (6th Edition):

Gray, C. (2020). On the application of Bayesian inference to network estimation problems. (Thesis). University of Adelaide. Retrieved from http://hdl.handle.net/2440/129332

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Gray, Caitlin. “On the application of Bayesian inference to network estimation problems.” 2020. Thesis, University of Adelaide. Accessed February 27, 2021. http://hdl.handle.net/2440/129332.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Gray, Caitlin. “On the application of Bayesian inference to network estimation problems.” 2020. Web. 27 Feb 2021.

Vancouver:

Gray C. On the application of Bayesian inference to network estimation problems. [Internet] [Thesis]. University of Adelaide; 2020. [cited 2021 Feb 27]. Available from: http://hdl.handle.net/2440/129332.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Gray C. On the application of Bayesian inference to network estimation problems. [Thesis]. University of Adelaide; 2020. Available from: http://hdl.handle.net/2440/129332

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Delft University of Technology

16. Prida Guillén, Álvaro (author). Modelling of storm surge due to hurricanes in Mississippi (USA).

Degree: 2020, Delft University of Technology

 The existing hydrodynamic models consider full physics approaches to calculate storm surge at coastal regions. However, due to the complexity of the equations that model… (more)

Subjects/Keywords: Hurricanes; Surge; Delft 3D; Modelling; Bayesian Network

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APA (6th Edition):

Prida Guillén, . (. (2020). Modelling of storm surge due to hurricanes in Mississippi (USA). (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:ee48290d-4f15-4e5b-9dfc-83feac8ac366

Chicago Manual of Style (16th Edition):

Prida Guillén, Álvaro (author). “Modelling of storm surge due to hurricanes in Mississippi (USA).” 2020. Masters Thesis, Delft University of Technology. Accessed February 27, 2021. http://resolver.tudelft.nl/uuid:ee48290d-4f15-4e5b-9dfc-83feac8ac366.

MLA Handbook (7th Edition):

Prida Guillén, Álvaro (author). “Modelling of storm surge due to hurricanes in Mississippi (USA).” 2020. Web. 27 Feb 2021.

Vancouver:

Prida Guillén (. Modelling of storm surge due to hurricanes in Mississippi (USA). [Internet] [Masters thesis]. Delft University of Technology; 2020. [cited 2021 Feb 27]. Available from: http://resolver.tudelft.nl/uuid:ee48290d-4f15-4e5b-9dfc-83feac8ac366.

Council of Science Editors:

Prida Guillén (. Modelling of storm surge due to hurricanes in Mississippi (USA). [Masters Thesis]. Delft University of Technology; 2020. Available from: http://resolver.tudelft.nl/uuid:ee48290d-4f15-4e5b-9dfc-83feac8ac366


University of Maryland

17. Pourali, Masoud. A Bayesian Approach to Sensor Placement and System Health Monitoring.

Degree: Mechanical Engineering, 2012, University of Maryland

 System health monitoring and sensor placement are areas of great technical and scientific interest. Prognostics and health management of a complex system require multiple sensors… (more)

Subjects/Keywords: Engineering; Bayesian Network; Bayesian Sensor Placement; System Health Monitoring

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Pourali, M. (2012). A Bayesian Approach to Sensor Placement and System Health Monitoring. (Thesis). University of Maryland. Retrieved from http://hdl.handle.net/1903/12999

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Pourali, Masoud. “A Bayesian Approach to Sensor Placement and System Health Monitoring.” 2012. Thesis, University of Maryland. Accessed February 27, 2021. http://hdl.handle.net/1903/12999.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Pourali, Masoud. “A Bayesian Approach to Sensor Placement and System Health Monitoring.” 2012. Web. 27 Feb 2021.

Vancouver:

Pourali M. A Bayesian Approach to Sensor Placement and System Health Monitoring. [Internet] [Thesis]. University of Maryland; 2012. [cited 2021 Feb 27]. Available from: http://hdl.handle.net/1903/12999.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Pourali M. A Bayesian Approach to Sensor Placement and System Health Monitoring. [Thesis]. University of Maryland; 2012. Available from: http://hdl.handle.net/1903/12999

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Delft University of Technology

18. Stuurman, Pim (author). Modelling citation performance of Canadian researchers using Bayesian Networks.

Degree: 2017, Delft University of Technology

 This thesis is about modelling citation performance using Bayesian networks (BN). As an approximation for citation performance, we will use the proportion of papers by… (more)

Subjects/Keywords: Continuous Bayesian Networks; non-parametric Bayesian Networks; Bayesian networks; Bayesian network structure learning; citation analysis; bibliometric studies

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Stuurman, P. (. (2017). Modelling citation performance of Canadian researchers using Bayesian Networks. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:d702ba0b-e568-485c-b2e2-0ac483196a53

Chicago Manual of Style (16th Edition):

Stuurman, Pim (author). “Modelling citation performance of Canadian researchers using Bayesian Networks.” 2017. Masters Thesis, Delft University of Technology. Accessed February 27, 2021. http://resolver.tudelft.nl/uuid:d702ba0b-e568-485c-b2e2-0ac483196a53.

MLA Handbook (7th Edition):

Stuurman, Pim (author). “Modelling citation performance of Canadian researchers using Bayesian Networks.” 2017. Web. 27 Feb 2021.

Vancouver:

Stuurman P(. Modelling citation performance of Canadian researchers using Bayesian Networks. [Internet] [Masters thesis]. Delft University of Technology; 2017. [cited 2021 Feb 27]. Available from: http://resolver.tudelft.nl/uuid:d702ba0b-e568-485c-b2e2-0ac483196a53.

Council of Science Editors:

Stuurman P(. Modelling citation performance of Canadian researchers using Bayesian Networks. [Masters Thesis]. Delft University of Technology; 2017. Available from: http://resolver.tudelft.nl/uuid:d702ba0b-e568-485c-b2e2-0ac483196a53


Penn State University

19. Huang, Shuo. Detecting Policy Violators in Online Social Community an Extended Bayesian Belief Network Approach .

Degree: 2012, Penn State University

 In this thesis, I have implemented solution for detecting policy violators in online social communities. Given the increasing number of users and traffic in online… (more)

Subjects/Keywords: Social Network; Spam; Page Rank; Bayesian Network; Mutual Information

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Huang, S. (2012). Detecting Policy Violators in Online Social Community an Extended Bayesian Belief Network Approach . (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/15346

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Huang, Shuo. “Detecting Policy Violators in Online Social Community an Extended Bayesian Belief Network Approach .” 2012. Thesis, Penn State University. Accessed February 27, 2021. https://submit-etda.libraries.psu.edu/catalog/15346.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Huang, Shuo. “Detecting Policy Violators in Online Social Community an Extended Bayesian Belief Network Approach .” 2012. Web. 27 Feb 2021.

Vancouver:

Huang S. Detecting Policy Violators in Online Social Community an Extended Bayesian Belief Network Approach . [Internet] [Thesis]. Penn State University; 2012. [cited 2021 Feb 27]. Available from: https://submit-etda.libraries.psu.edu/catalog/15346.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Huang S. Detecting Policy Violators in Online Social Community an Extended Bayesian Belief Network Approach . [Thesis]. Penn State University; 2012. Available from: https://submit-etda.libraries.psu.edu/catalog/15346

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

20. LIU TIEFEI. Learning gene network using Bayesian network framework.

Degree: 2006, National University of Singapore

Subjects/Keywords: Gene network; Bayesian network

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

TIEFEI, L. (2006). Learning gene network using Bayesian network framework. (Thesis). National University of Singapore. Retrieved from http://scholarbank.nus.edu.sg/handle/10635/15394

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

TIEFEI, LIU. “Learning gene network using Bayesian network framework.” 2006. Thesis, National University of Singapore. Accessed February 27, 2021. http://scholarbank.nus.edu.sg/handle/10635/15394.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

TIEFEI, LIU. “Learning gene network using Bayesian network framework.” 2006. Web. 27 Feb 2021.

Vancouver:

TIEFEI L. Learning gene network using Bayesian network framework. [Internet] [Thesis]. National University of Singapore; 2006. [cited 2021 Feb 27]. Available from: http://scholarbank.nus.edu.sg/handle/10635/15394.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

TIEFEI L. Learning gene network using Bayesian network framework. [Thesis]. National University of Singapore; 2006. Available from: http://scholarbank.nus.edu.sg/handle/10635/15394

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Iowa State University

21. Guo, Jiqiang. Bayesian methods for system reliability and community detection.

Degree: 2011, Iowa State University

Bayesian methods are valuable for their natural incorporation of prior information and their practical convenience for modeling and estimation. This dissertation develops flexible Bayesian parametric… (more)

Subjects/Keywords: Bayesian; Bayesian nonparametric; Community detection; Complex system; Network; System reliability; Statistics and Probability

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Guo, J. (2011). Bayesian methods for system reliability and community detection. (Thesis). Iowa State University. Retrieved from https://lib.dr.iastate.edu/etd/12240

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Guo, Jiqiang. “Bayesian methods for system reliability and community detection.” 2011. Thesis, Iowa State University. Accessed February 27, 2021. https://lib.dr.iastate.edu/etd/12240.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Guo, Jiqiang. “Bayesian methods for system reliability and community detection.” 2011. Web. 27 Feb 2021.

Vancouver:

Guo J. Bayesian methods for system reliability and community detection. [Internet] [Thesis]. Iowa State University; 2011. [cited 2021 Feb 27]. Available from: https://lib.dr.iastate.edu/etd/12240.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Guo J. Bayesian methods for system reliability and community detection. [Thesis]. Iowa State University; 2011. Available from: https://lib.dr.iastate.edu/etd/12240

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Minnesota

22. Bandyopadhyay, Sunayan. Cardiovascular risk prediction from Electronic Health Records using probabilistic graphical models.

Degree: PhD, Computer Science, 2016, University of Minnesota

 Cardiovascular (CV) disease is one of the leading causes of death in the United States; therefore, it is of vital importance that it be managed… (more)

Subjects/Keywords: Bayesian networks; Cardiovascular risk model; dynamic Bayesian network; Electronic health record data; structure learning

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Bandyopadhyay, S. (2016). Cardiovascular risk prediction from Electronic Health Records using probabilistic graphical models. (Doctoral Dissertation). University of Minnesota. Retrieved from http://hdl.handle.net/11299/182297

Chicago Manual of Style (16th Edition):

Bandyopadhyay, Sunayan. “Cardiovascular risk prediction from Electronic Health Records using probabilistic graphical models.” 2016. Doctoral Dissertation, University of Minnesota. Accessed February 27, 2021. http://hdl.handle.net/11299/182297.

MLA Handbook (7th Edition):

Bandyopadhyay, Sunayan. “Cardiovascular risk prediction from Electronic Health Records using probabilistic graphical models.” 2016. Web. 27 Feb 2021.

Vancouver:

Bandyopadhyay S. Cardiovascular risk prediction from Electronic Health Records using probabilistic graphical models. [Internet] [Doctoral dissertation]. University of Minnesota; 2016. [cited 2021 Feb 27]. Available from: http://hdl.handle.net/11299/182297.

Council of Science Editors:

Bandyopadhyay S. Cardiovascular risk prediction from Electronic Health Records using probabilistic graphical models. [Doctoral Dissertation]. University of Minnesota; 2016. Available from: http://hdl.handle.net/11299/182297


University of California – Berkeley

23. Tien, Iris. Bayesian Network Methods for Modeling and Reliability Assessment of Infrastructure Systems.

Degree: Civil and Environmental Engineering, 2014, University of California – Berkeley

Bayesian Network Methods for Modeling and Reliability Assessment of Infrastructure Systemsby Iris TienDoctor of Philosophy in Civil and Environmental EngineeringUniversity of California, BerkeleyInfrastructure systems are… (more)

Subjects/Keywords: Civil engineering; Bayesian network; Dynamic Bayesian network; Infrastructure systems; Reliability analysis; Risk assessment; Structural health monitoring

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Tien, I. (2014). Bayesian Network Methods for Modeling and Reliability Assessment of Infrastructure Systems. (Thesis). University of California – Berkeley. Retrieved from http://www.escholarship.org/uc/item/01s3t6pq

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Tien, Iris. “Bayesian Network Methods for Modeling and Reliability Assessment of Infrastructure Systems.” 2014. Thesis, University of California – Berkeley. Accessed February 27, 2021. http://www.escholarship.org/uc/item/01s3t6pq.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Tien, Iris. “Bayesian Network Methods for Modeling and Reliability Assessment of Infrastructure Systems.” 2014. Web. 27 Feb 2021.

Vancouver:

Tien I. Bayesian Network Methods for Modeling and Reliability Assessment of Infrastructure Systems. [Internet] [Thesis]. University of California – Berkeley; 2014. [cited 2021 Feb 27]. Available from: http://www.escholarship.org/uc/item/01s3t6pq.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Tien I. Bayesian Network Methods for Modeling and Reliability Assessment of Infrastructure Systems. [Thesis]. University of California – Berkeley; 2014. Available from: http://www.escholarship.org/uc/item/01s3t6pq

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Tasmania

24. Baksh, MA. Accident scenario analysis for maritime operations.

Degree: 2018, University of Tasmania

 Over the years, there has been a significant increase in both size and complexity of processes in marine and offshore operations. One example of maritime… (more)

Subjects/Keywords: Arctic transportation risk; Bayesian network; consequence assessment; forward collision avoidance; scenario-based modeling; object-oriented Bayesian network

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Baksh, M. (2018). Accident scenario analysis for maritime operations. (Thesis). University of Tasmania. Retrieved from https://eprints.utas.edu.au/28680/1/Baksh_whole_thesis.pdf

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Baksh, MA. “Accident scenario analysis for maritime operations.” 2018. Thesis, University of Tasmania. Accessed February 27, 2021. https://eprints.utas.edu.au/28680/1/Baksh_whole_thesis.pdf.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Baksh, MA. “Accident scenario analysis for maritime operations.” 2018. Web. 27 Feb 2021.

Vancouver:

Baksh M. Accident scenario analysis for maritime operations. [Internet] [Thesis]. University of Tasmania; 2018. [cited 2021 Feb 27]. Available from: https://eprints.utas.edu.au/28680/1/Baksh_whole_thesis.pdf.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Baksh M. Accident scenario analysis for maritime operations. [Thesis]. University of Tasmania; 2018. Available from: https://eprints.utas.edu.au/28680/1/Baksh_whole_thesis.pdf

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Manchester

25. Irimias, Robert. Probabilistic Modelling of Temporal Correlations in Industrial Alarm Data.

Degree: 2020, University of Manchester

 It is crucial that modern industrial plants maintain a safe environment in which processes can run efficiently. To achieve this, processes are being monitored via… (more)

Subjects/Keywords: Bayesian Network; alarm management; Dynamic Bayesian Network; artificial data generation; probabilistic model learning; historical alarm data; similarity measure; early detection; prediction

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Irimias, R. (2020). Probabilistic Modelling of Temporal Correlations in Industrial Alarm Data. (Doctoral Dissertation). University of Manchester. Retrieved from http://www.manchester.ac.uk/escholar/uk-ac-man-scw:323846

Chicago Manual of Style (16th Edition):

Irimias, Robert. “Probabilistic Modelling of Temporal Correlations in Industrial Alarm Data.” 2020. Doctoral Dissertation, University of Manchester. Accessed February 27, 2021. http://www.manchester.ac.uk/escholar/uk-ac-man-scw:323846.

MLA Handbook (7th Edition):

Irimias, Robert. “Probabilistic Modelling of Temporal Correlations in Industrial Alarm Data.” 2020. Web. 27 Feb 2021.

Vancouver:

Irimias R. Probabilistic Modelling of Temporal Correlations in Industrial Alarm Data. [Internet] [Doctoral dissertation]. University of Manchester; 2020. [cited 2021 Feb 27]. Available from: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:323846.

Council of Science Editors:

Irimias R. Probabilistic Modelling of Temporal Correlations in Industrial Alarm Data. [Doctoral Dissertation]. University of Manchester; 2020. Available from: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:323846


University of Western Ontario

26. Xiang, Wei. Application of Bayesian Networks to Integrity Management of Energy Pipelines.

Degree: 2019, University of Western Ontario

 Metal-loss corrosion and third-party damage (TPD) are the leading threats to the integrity of buried oil and natural gas pipelines. This thesis employs Bayesian networks… (more)

Subjects/Keywords: underground pipeline; corrosion; third-party damage; Bayesian network; non-parametric Bayesian network; optimal sample size determination; Civil Engineering; Structural Engineering

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APA (6th Edition):

Xiang, W. (2019). Application of Bayesian Networks to Integrity Management of Energy Pipelines. (Thesis). University of Western Ontario. Retrieved from https://ir.lib.uwo.ca/etd/6688

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Xiang, Wei. “Application of Bayesian Networks to Integrity Management of Energy Pipelines.” 2019. Thesis, University of Western Ontario. Accessed February 27, 2021. https://ir.lib.uwo.ca/etd/6688.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Xiang, Wei. “Application of Bayesian Networks to Integrity Management of Energy Pipelines.” 2019. Web. 27 Feb 2021.

Vancouver:

Xiang W. Application of Bayesian Networks to Integrity Management of Energy Pipelines. [Internet] [Thesis]. University of Western Ontario; 2019. [cited 2021 Feb 27]. Available from: https://ir.lib.uwo.ca/etd/6688.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Xiang W. Application of Bayesian Networks to Integrity Management of Energy Pipelines. [Thesis]. University of Western Ontario; 2019. Available from: https://ir.lib.uwo.ca/etd/6688

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Manchester

27. Irimias, Robert. Probabilistic modelling of temporal correlations in industrial alarm data.

Degree: PhD, 2020, University of Manchester

 It is crucial that modern industrial plants maintain a safe environment in which processes can run efficiently. To achieve this, processes are being monitored via… (more)

Subjects/Keywords: similarity measure; prediction; historical alarm data; probabilistic model learning; early detection; Dynamic Bayesian Network; alarm management; Bayesian Network; artificial data generation

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Irimias, R. (2020). Probabilistic modelling of temporal correlations in industrial alarm data. (Doctoral Dissertation). University of Manchester. Retrieved from https://www.research.manchester.ac.uk/portal/en/theses/probabilistic-modelling-of-temporal-correlations-in-industrial-alarm-data(6421c00e-1a7d-4254-98c6-f2e4e63891a7).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.799523

Chicago Manual of Style (16th Edition):

Irimias, Robert. “Probabilistic modelling of temporal correlations in industrial alarm data.” 2020. Doctoral Dissertation, University of Manchester. Accessed February 27, 2021. https://www.research.manchester.ac.uk/portal/en/theses/probabilistic-modelling-of-temporal-correlations-in-industrial-alarm-data(6421c00e-1a7d-4254-98c6-f2e4e63891a7).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.799523.

MLA Handbook (7th Edition):

Irimias, Robert. “Probabilistic modelling of temporal correlations in industrial alarm data.” 2020. Web. 27 Feb 2021.

Vancouver:

Irimias R. Probabilistic modelling of temporal correlations in industrial alarm data. [Internet] [Doctoral dissertation]. University of Manchester; 2020. [cited 2021 Feb 27]. Available from: https://www.research.manchester.ac.uk/portal/en/theses/probabilistic-modelling-of-temporal-correlations-in-industrial-alarm-data(6421c00e-1a7d-4254-98c6-f2e4e63891a7).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.799523.

Council of Science Editors:

Irimias R. Probabilistic modelling of temporal correlations in industrial alarm data. [Doctoral Dissertation]. University of Manchester; 2020. Available from: https://www.research.manchester.ac.uk/portal/en/theses/probabilistic-modelling-of-temporal-correlations-in-industrial-alarm-data(6421c00e-1a7d-4254-98c6-f2e4e63891a7).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.799523


University of Helsinki

28. Kuronen, Juri. Learning pairwise Markov Network structures with logistic regression.

Degree: Department of Social Research; Helsingfors universitet, Statsvetenskapliga fakulteten, Institutionen för socialvetenskaper, 2017, University of Helsinki

 This Master’s thesis introduces a new score-based method for learning the structure of a pairwise Markov network without imposing the assumption of chordality on the… (more)

Subjects/Keywords: Markov network; Markov network structure learning; logistic regression; pseudo-likelihood; Bayesian information criterion; Tilastotiede; Statistics; Statistik; Markov network; Markov network structure learning; logistic regression; pseudo-likelihood; Bayesian information criterion

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Kuronen, J. (2017). Learning pairwise Markov Network structures with logistic regression. (Masters Thesis). University of Helsinki. Retrieved from http://hdl.handle.net/10138/229585

Chicago Manual of Style (16th Edition):

Kuronen, Juri. “Learning pairwise Markov Network structures with logistic regression.” 2017. Masters Thesis, University of Helsinki. Accessed February 27, 2021. http://hdl.handle.net/10138/229585.

MLA Handbook (7th Edition):

Kuronen, Juri. “Learning pairwise Markov Network structures with logistic regression.” 2017. Web. 27 Feb 2021.

Vancouver:

Kuronen J. Learning pairwise Markov Network structures with logistic regression. [Internet] [Masters thesis]. University of Helsinki; 2017. [cited 2021 Feb 27]. Available from: http://hdl.handle.net/10138/229585.

Council of Science Editors:

Kuronen J. Learning pairwise Markov Network structures with logistic regression. [Masters Thesis]. University of Helsinki; 2017. Available from: http://hdl.handle.net/10138/229585


Penn State University

29. Sun, Xiaoyan. Using Bayesian Networks for Enterprise Network Security Analysis.

Degree: 2016, Penn State University

 Achieving complete and accurate cyber situation awareness (SA) is crucial for security analysts to make right decisions. A large number of algorithms and tools have… (more)

Subjects/Keywords: Cloud Security; Bayesian Network; Situation Awareness; System Call; Zero-day Attack; Enterprise network security

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Sun, X. (2016). Using Bayesian Networks for Enterprise Network Security Analysis. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/5d86p021v

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Sun, Xiaoyan. “Using Bayesian Networks for Enterprise Network Security Analysis.” 2016. Thesis, Penn State University. Accessed February 27, 2021. https://submit-etda.libraries.psu.edu/catalog/5d86p021v.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Sun, Xiaoyan. “Using Bayesian Networks for Enterprise Network Security Analysis.” 2016. Web. 27 Feb 2021.

Vancouver:

Sun X. Using Bayesian Networks for Enterprise Network Security Analysis. [Internet] [Thesis]. Penn State University; 2016. [cited 2021 Feb 27]. Available from: https://submit-etda.libraries.psu.edu/catalog/5d86p021v.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Sun X. Using Bayesian Networks for Enterprise Network Security Analysis. [Thesis]. Penn State University; 2016. Available from: https://submit-etda.libraries.psu.edu/catalog/5d86p021v

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Universidade Nova

30. Anvar, Meysam Maleki. Supply chain integration model: practices and customer values.

Degree: 2013, Universidade Nova

Dissertation to obtain PhD in Industrial Engineering

In order to increase partnership efficiency and truly meet the customers' demands, in today's business environment companies are… (more)

Subjects/Keywords: Supply chain management; Integration; Practices; Customer value; Bayesian network; Analytic network process

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APA (6th Edition):

Anvar, M. M. (2013). Supply chain integration model: practices and customer values. (Thesis). Universidade Nova. Retrieved from http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/10688

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Anvar, Meysam Maleki. “Supply chain integration model: practices and customer values.” 2013. Thesis, Universidade Nova. Accessed February 27, 2021. http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/10688.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Anvar, Meysam Maleki. “Supply chain integration model: practices and customer values.” 2013. Web. 27 Feb 2021.

Vancouver:

Anvar MM. Supply chain integration model: practices and customer values. [Internet] [Thesis]. Universidade Nova; 2013. [cited 2021 Feb 27]. Available from: http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/10688.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Anvar MM. Supply chain integration model: practices and customer values. [Thesis]. Universidade Nova; 2013. Available from: http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/10688

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

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