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Keulen, D. (author)
Vaccination is a strong and effective way to prevent spreading of infectious diseases and promotes global health. In the future, the importance of vaccines is expected only to increase, driven by factors such as increased international traveling, higher healthcare expenditures, and a growing population. To meet the growing demands, it is...
doctoral thesis 2024
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Owen, C.C. (author)
The imminence of anthropogenic climate change has motivated a global energy transition towards sustainable power generation. Offshore wind—an important contributor to the energy transition—is expanding, not only in turbine size and number of installations, but also into regions with harsher environmental conditions. One of those conditions in...
doctoral thesis 2024
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Oderwald Blázquez, Adrian (author)
Blockchain consortia uphold value-addition through collaboration between organizations, by exploring, prototyping and innovating together. Blockchain technology presented itself as a new solution to the sharing of data proofs since 2008, with certain components such as smart contracts and privacy-enhancing components currently at different...
master thesis 2024
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Liscio, E. (author)
Human values are the abstract motivations that drive our opinions and actions. AI agents ought to align their behavior with our value preferences (the relative importance we ascribe to different values) to co-exist with us in our society. However, value preferences differ across individuals and are dependent on context. To reflect diversity in...
doctoral thesis 2024
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Chin-A-Pauw, Laurens (author)
In this thesis, we aim to improve the application of deep reinforcement learning in portfo- lio optimization. Reinforcement learning has in recent years been applied to a wide range of problems, from games to control systems in the physical world and also to finance. While reinforcement learning has shown success in simulated environments (e.g....
master thesis 2024
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Jungbacker, Caspar (author)
Large Eddy Simulation (LES) is a mathematical technique for performing simulations of turbulent flows, such as those found in the Earth’s atmosphere. Compared to traditional numerical weather and climate models, LES is more accurate in representing turbulent processes and cloud dynamics. The computational burden of LES, however, have histor-...
master thesis 2024
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Wong, Olivia (author)
This research provides a framework to evaluate participation processes and their contribution to citizen support for top-ups. The findings have illustrated how participation processes contribute to the support for top-ups by using a context-specific approach, adjusting the level of participation to the needs of both current and future residents,...
master thesis 2024
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Chai, Anbang (author)
The Optimal Power Flow (OPF) problem, a cornerstone of power system operations, has gained increased attention since its inception by Carpentier in 1962. OPF is fundamentally an optimization challenge aimed at enhancing electric power system operations within the bounds of physical and operational constraints. Over the decades, various...
master thesis 2024
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Rijs, Joyce (author)
<b>Background</b>: Undetected Intellectual Disability (ID) can lead to chronic stress due to overestimation by society. Chronic stress can cause stress-related health issues, like hypertension, chronic fatigue and abdominal complaints. When a physician (General Practitioner (GP) or medical specialist) does not recognize that a patient has ID,...
master thesis 2024
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Kerckhoff, Fin (author)
Emerging technologies like artificial intelligence, big data analytics, blockchain, and the internet of things offer interesting opportunities to automate business processes. With the potential to streamline operations like claims management, underwriting, and customer service, these advancements appear to be especially promising for insurance...
master thesis 2024
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Shahroodi, T. (author)
Modern applications like Genomics and Machine Learning (ML) hold the potential to reshape our understanding of diseases’ genetic origins and guide machines in executing tasks and making predictions without our explicit programming. The successful, widespread integration of these modern applications can usher in advancements in di-agnostics,...
doctoral thesis 2024
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van der Meulen, Jan (author)
Federated learning (FL) is a privacy preserving machine learning approach which allows a machine learning model to be trained in a distributed fashion without ever sharing user data. Due to the large amount of valuable text and voice data stored on end-user devices, this approach works particularly well for natural language processing (NLP)...
bachelor thesis 2024
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Molhoek, Jord (author)
Many real-world problems fall in the category of sequential decision-making under uncertainty; Markov Decision Processes (MDPs) are a common method for modeling such problems. To solve an MDP, one could start from scratch or one could already have an idea of what good policies look like. Furthermore, there could be uncertainty in this idea. In...
master thesis 2024
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Crienen, Juul (author)
GitHub is an online platform that hosts millions of projects. Many of these projects have the same topic or share the same goal. Finding similar projects which can be used as role models, inspiration or examples can help developers meet their requirements faster and more efficiently. Previous studies have been successful in finding similar...
bachelor thesis 2024
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Burr, Zach (author)
Planet formation is a topic that still has many unanswered questions, particularly regarding the formation of wide orbit giant planets. Detecting more of these types of planets can aid understanding of how they form by giving examples of what kind of planets exist. Direct imaging is uniquely well suited to detecting these kinds of planets, which...
master thesis 2024
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Staelens, Michael (author)
Cryogenic and semi-cryogenic propellants are the most commonly used liquid propellants for applications in medium-lift launch vehicles. Despite their high performance, the storage requirements for these propellants often lead to complex, heavy, and voluminous structures. The only storable propellant used in medium-lift launch vehicles, UDMH/NTO,...
master thesis 2024
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Rietveld, Masja (author)
We humans evolved in nature, but over the years we moved from being a part of nature to being apart from nature. This causes our mental health, with stress as the most important aspect, to suffer from our modern life in the city. A significant challenge we face is finding ways to integrate nature into our build environment for stress relief. A...
master thesis 2024
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van Muiden, Thomas (author)
This paper examines the potential for privatising the port of St. Eustatius to achieve self-sustainability through the strategic port planning process. Design criteria were established based on a PESTEL, SWOT, and trend analysis, resulting in the development of four strategies. These strategies include enhancing port resilience, creating a...
master thesis 2024
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Bērmans, Boriss (author)
Detecting nearby vehicles involves utilizing data from various sensors installed on a car as it moves. Common sensors for identifying nearby vehicles include LiDAR, cameras, and RADAR. However, all of these sensors suffer from the same issue -- they cannot detect an approaching vehicle that is not yet visible. Hence, this thesis explores the...
master thesis 2024
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Achterberg, M.A. (author)
The COVID-19 pandemic has had a disruptive impact on healthcare systems and everyday life of the majority of the people around the globe. Despite many years of research on network epidemiology, many key aspects of disease transmission and in particular the response of people to the spread of a disease, remain poorly understood. On the basis of...
doctoral thesis 2024
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