Searched for: mods_note_programme_s%3A%22Computer%255C+Science%22
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Mariën, Simon (author)
n the rapidly evolving semiconductor industry, precise material characterization is crucial. This thesis focuses on enhancing Ion Beam Analysis (IBA), a pivotal tool in semiconductor characterization, through the integration of differential evolution optimization. This research proposes a single and multi spectra optimization algorithm approach...
master thesis 2024
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Saveur, Tom (author)
The promotion of desirable behaviours, such as socially appropriate or health-promoting actions, can be bolstered through a deeper understanding and awareness of the values that underpin the associated behavioural choices. Various implementations for promoting behaviour change based on goals already exist in Human-Robot Interaction, but, since...
master thesis 2024
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Eickhoff, Jerrit (author)
Online gaming is the world’s largest entertainment industry by revenue, and supports over 3 billion consumers worldwide. Many of the world’s most popular online games must manage millions of concurrent players through a single unified service. Achieving performant and scalable online games is challenging. Online games are subject to stringent...
master thesis 2024
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Kropf, Kylian (author)
This thesis proposes and develops an interface and model in which advanced optimisation for general employee scheduling is made available to non-experts in computer science or optimisation. The interface teaches, guides, configures, dynamically creates a constraint programming (CP) model, iteratively improves, decreases black box properties,...
master thesis 2024
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Wang, Sunwei (author)
With the increasing development of artificial intelligence (AI), there is a more significant opportunity for humans and agents to collaborate in teamwork. In Human-Agent Teamwork (HAT) settings, collaboration requires communication, and the agent displaying emotion can impact how human teammates communicate and work together with the agent. This...
master thesis 2024
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Volkers, Bas (author)
Individualizing mechanical ventilation treatment regimes remains a challenge in the intensive care unit (ICU). Reinforcement Learning (RL) offers the potential to improve patient outcomes and reduce mortality risk, by optimizing ventilation treatment regimes. We focus on the Offline RL setting, using Offline Policy Evaluation (OPE), specifically...
master thesis 2024
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Bekooy, Mark (author)
Type annotations in Python are an integral part of static analysis. They can be used for code documentation, error detection and the development of cleaner architectures. By enhancing code quality, they contribute to the robustness, maintainability and comprehensibility of codebases. Tools like static type checkers use type annotations to detect...
master thesis 2024
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Kouwenhoven, Robin (author)
Foremost among the challenges of the Bitcoin blockchain is the scalability bottleneck. To address this issue, the Lightning Network, a payment channel network, was created. Lightning is a payment channel network that is source-routed and uses onion routing, like Tor. However, unlike Tor, the routing path is determined by optimizing a cost...
master thesis 2024
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Kuhn, Emanuel (author)
Existing content-based image retrieval models work well for natural photos, but not for images of architectural floor plans. <br/>Previous work on floor plan retrieval has focused on graph-based methods, rather than image-based floor plans.<br/>Training a CNN-based representation learning framework on segmented floor plan images with standard...
master thesis 2024
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de Bruin, Niels (author)
Normalizing flows have demonstrated their ability to learn complex and high-dimensional distributions. However, the behavior of normalizing flow likelihoods are not yet fully understood, particularly when exposed to outlier data, where it has been observed that large likelihoods are often assigned to inputs that are substantially different from...
master thesis 2024
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Duroyon, Marin (author)
Acoustic side-channel attacks (SCAs) use audio produced by a system to bypass traditional security measures to extract sensitive information. Human interface devices, such as keyboards, have been the focus of such attacks, however, computer mice are input devices that are currently in a research gap. This paper explores the security risks the...
master thesis 2024
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Talsma, Marit (author)
The quantum internet improves upon the classical internet with several new possibilities. However, to create such a quantum internet, metropolitan hubs (for this research we will use an Entanglement Generation Switch - EGS - as hub) are needed to avoid a scaling problem when connecting all end nodes individually with one another. These EGSs...
master thesis 2024
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Li, LITIAN (author)
This project explores adaptation to preference shifts in Multi-objective Reinforcement Learning (MORL), with a focus on how Reinforcement Learning (RL) agents can align with the preferences of multiple experts. This alignment can occur across various scenarios featuring distinct preferences of experts or within a single scenario that experiences...
master 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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Li, Martin (author)
In recent years, the rapid advancements in big data, machine learning, and artificial intelligence have led to a corresponding rise in privacy concerns. One of the solutions to address these concerns is federated learning. In this thesis, we will look at the setting of vertical federated learning based on tree models. We have built a system that...
master thesis 2024
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de Britto Heemskerk, Roderick (author)
Intention aware routing system is a route-planning algorithm for electric vehicles that minimizes overall travel time by taking into consideration congestion at charging stations. This thesis extends this algorithm to allow choices to be made based on prices at charging stations. The goal of this thesis is to find a way to minimize maximum...
bachelor thesis 2024
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Sebus, Siert (author)
The Deep Neural Network (DNN) has become a widely popular machine learning architecture thanks to its ability to learn complex behaviors from data. Standard learning strategies for DNNs however rely on the availability of large, labeled datasets. Self-Supervised Learning (SSL) is a style of learning that allows models to also use unlabeled data...
master thesis 2024
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Piccini, Pietro (author)
ncentive-based demand response (iDR) programs serve as important tools for distributed system operators (DSOs) to achieve a reduction in electricity demand during periods of grid overload. During these programs, participants can decide to curtail their consumption in exchange for financial incentives. Deciding the amount of curtailment for 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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van der Ent, Huub (author)
KRAS mutations are very common in several different types of cancer. A promising targeted combination therapy using a MEK and HER inhibitor was proposed based on in vitro finding. The clinical results of this combination were found to be lacking due to emergent treatement resistance. Here we investigate what mechanism is causing this emergent...
master thesis 2023
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