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Horsman, Niels (author)
The pair-copula Bayesian network (PCBN) is a Bayesian network (BN) where the conditional probability functions are modeled using pair-copula constructions. By assigning bivariate conditional copulas to the arcs of the BN, one finds a proper joint density which can flexibly model all kinds of dependence structures. It is a known problem that the...
master thesis 2023
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Freling, Pauline (author)
master thesis 2023
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Mălan, Abel (author)
Effective large-scale process optimization in manufacturing industries requires close cooperation between different parties of human experts who encode their knowledge of related domains as Bayesian network models. For example, parties in the steel industry must collaboratively use their Bayesian networks on process parameters at the maker,...
master thesis 2023
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Vos, Gerard (author)
The political interest in fish habitat suitability and, consequently, of fish populations has increased. The fish habitat suitability is a key factor for successful ecological restoration, for example via dam removal and implementation of fish passage. Furthermore, the fish population composition determines the ecological quality of water bodies...
master thesis 2023
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Chen, Si-Jing (author)
At crime scenes, various methods can be used to determine how much time has passed since the act happened, for example a body left at the scene, camera footage or eye witnesses. In this thesis, however, a different method shall be used to determine the time of the crime. The time will be determined using blood evidence. <br/><br/>To be exact,...
bachelor thesis 2023
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Özdemir, Esma (author)
In this thesis, we explore a proposal from Stedin that advocates heating the city of Stad aan `t Haringvliet with hydrogen rather than natural gas. Switching from natural gas to hydrogen presents plenty of unknown factors which must be properly evaluated for an accurate and realistic risk picture, including the danger of running out of hydrogen....
master thesis 2022
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Kestens, Lisa (author)
Due to the continuous growth of air traffic up to the year 2020, the air transportation network has become more complex, and the airports and airspace busier. However, capacities have not grown at the same rate as air traffic, making Air Traffic Control one of the most encountered primary delays. A data driven approach is taken in order to...
master thesis 2021
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van Kooten, Wietse (author)
Applying multiple structure learning algorithms like hill-climbing, incremental association and grow-shrink, to investigate their robustness, predictive capabiliy and goodness of fit on multiple discrete Bayesian networks and Gaussian Bayesian networks.
bachelor thesis 2021
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Goslings, Wessel (author)
This thesis concerns itself with the effect of the normality assumption, the effects of discretisation choices and other assumptions made by software on prediction performance, when using Gaussian Bayesian Networks. To test these effects, different types of Bayesian Networks are constructed and made to perform predictions, using the same dataset...
bachelor thesis 2021
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Wopereis, Ligaya (author)
River floods are becoming increasingly devastating because of climate change (more frequent and extreme rainfall), population growth and the increasing economic importance of river basins. This situation requires maintenance and strengthening of flood-defence systems.<br/><br/>Adding certain types of vegetation at precise locations for their...
master thesis 2021
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Ding, Kaixin (author)
Intrusion detection problem in Industrial Control Systems(ICS), such as water treat- ment plant and power grid, is an important real-world problem. Real-time anomaly detection have been proposed to minimize the risk of cyber attack. In this study, two different kind of intrusion detection mode-based approach are learned from normal behaviour of...
master thesis 2020
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Prida Guillén, Álvaro (author)
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 these processes, the computational time and power required to run them can be large, compared to models that consider simplified equations. By contrast, simplified hydraulic...
master thesis 2020
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Froeling, Hidde (author)
As an alternative energy carrier alongside electricity, hydrogen is considered one of the key factors in the impending required changes in the energy system transition. Due to the decrease in natural gas extraction in the Netherlands, the reuse of the natural gas network which eventually will become available for hydrogen transmission has...
master thesis 2019
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Hijner, Anne Mijntje (author)
In order for public transportation to remain an attractive travel option, its reliability must be improved. To enable this, extensive knowledge on the passenger delay phenomenon is necessary. This study explores the possibility of using empirical data of passenger delay to determine the relationships between stations through a Bayesian Network...
master thesis 2019
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Mohammad Ammar Faiq, Ammar (author)
Cardiovascular diseases are considered as one the deadliest disease and have also been the most prominent health burden around the world and particularly in the Netherlands. Enormously mitigation has been done to reduce the death burden, by improving the quality of health care services and research related to cardiovascular diseases. One...
master thesis 2019
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Ritu Raj, Ritu (author)
Today, Oil and gas industry is fulfilling the world’s energy need, but while doing so, it is also facing challenges due to volatile crude oil price and global warming concerns. This puts emphasis on cost optimization to increase the profit margin and avoid any cost leakages. The logistics and distribution domain always remained important for...
master thesis 2019
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Ochalhi, Redouan (author)
In this thesis, attention is paid to building different Bayesian networks. You can think of aspects such as parameter learning, search procedures and score functions. In addition, a distinction is made between the use of Discrete Bayesian Networks and Gaussian Networks. These models both have different assumptions which are also discussed. Finally...
bachelor thesis 2019
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Aggarwal, Sakshi (author)
New railway bridges for high-speed trains are being built in a many countries around the world. In addition to the construction of new bridges, existing bridges are ageing. These two factors make the assessment of railway bridges essential. The bridges are designed considering certain predefined reliability criteria to account for the...
master thesis 2018
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Stephen Sanjaya, Stephen (author)
Drought is a recurrent extreme climate event that strongly affects every spectre of the natural environment and human lives (Madadgar andMoradkhani, 2014). There were numerous drought episodes recorded in MidwesternUSA, particularly in California. It has affected many aspects, including water shortages, groundwater overdraft, critically low...
master thesis 2018
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Keemink, Wessel (author)
This thesis focuses on the combination of agent based modelling and Bayesian network. These techniques are used to see if this is a viable way of modelling green markets, like the heat pump market. These markets can change quickly. The combination of the techniques gives the investors in the model the ability to learn from new information during...
master thesis 2018
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