Browsing by Subject "Bayesian Networks"
Now showing items 1-11 of 11
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(2022-03-14)Agricultural productivity is severely limited by environmental stresses that affect plants. Environmental stresses can be classified as abiotic or biotic. This study focuses on drought and saline stress, the two significant ...
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(2018-07-31)Plants are sessile organisms and are unable to relocate to favorable locations under extreme environmental conditions, and hence they have no choice but to acclimate and eventually adapt to the severe conditions to ensure ...
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(2013-04-03)The objective of this work is to develop a Bayesian Network (BN) model to produce environmental risk maps for oil and gas site developments and to demonstrate the model’s scalability from a point to a collection of points. ...
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(Stochastic Geomechanics Laboratory, 2021-01-12)On January, 2021 the CBTS COE and the Stochastic Geomechanics Laboratory (SGL) organized a webinar with Dr. Marek Drudzel as a guest speaker to give a presentation on graphical probabilistic models, and their potential ...
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(Mary Kay O'Connor Process Safety Center; Texas &M University. Libraries, 2016)Process Safety in the oil and gas industry is managed through a robust Process Safety Management (PSM) system that involves the assessment of the risks associated with a facility in all steps of its life cycle. Risk levels ...
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Methods to Improve Process Safety Performance through Flange Connection Leak Prediction and Control (2014-08-08)Process safety is a task of preventing leaks. Leak prevention is critical because pressure vessels and piping assets in chemical plants are fabricated from materials which have limited corrosion resistance. When corrosive ...
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(Mary Kay O'Connor Process Safety Center; Texas &M University. Libraries, 2016)Conventional risk assessment methods such as Bow Ties have been incapable of capturing the dynamic nature of a system and hence have failed to properly predict the time dependent failure of barriers. Modifications made to ...
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(2017-12-14)A spatial and causal probabilistic methodology is introduced for risk assessment based on the coupling of a conceptual Bayesian Network (BN) model and GIS to generate risk maps. The proposed integration of these spatial ...
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(Stochastic Geomechanics Laboratory, 21-Feb)Internal report on the development steps for a Risk Assessment and Management model using Bayesian Networks. The objectives of the model include: mapping qualitatively participating processes needed to simulate prognosis ...
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(Stochastic Geomechanics Laboratory, 2021-05-24)The version 0.0 of the Bayesian Networks (BN) model was updated to include variables and processes identified during the development of R7 project, guided by the variables present in Social Vulnerability Indexes from both ...
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(2020-04-23)Bayesian networks are widely adopted to model complex systems by characterizing their information into conditional independencies of 2 or more system variables. For example, Bayesian networks have been commonly used for ...