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Hofker, Tjipke (author)
Superconductors expel magnetic fields, a phenomenon known as the Meissner effect. This effect makes it notoriously difficult to predict the magnetic field around a superconductor. One successful way of calculating these fields is through conformal mappings; coordinate transformations that preserve Maxwell's equations of magnetic fields in free...
bachelor thesis 2024
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Pishahang, Pedram (author)
bachelor thesis 2024
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Hengst, Pauline (author)
This paper explores the application of landmark-based planning algorithms, specifically focusing on AND/OR landmark extraction methods. Drawing from classical planning principles and recent advancements, we investigate the effectiveness of landmark extraction in guiding the search for solutions to planning problems. Our research questions center...
bachelor thesis 2024
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Amaldi, Emilio (author)
Galaxy clusters are some of the largest known structures in the universe. Studying them observationally and theoretically can provide a lot of information on how these clusters form and are structured. One way to study them is through the so-called Sunyaev-Zel’dovich (SZ) effect, which is an interaction between the cosmic...
bachelor thesis 2024
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Ozgur, Enes Arda (author)
Learning curves illustrate the relationship between the performance of learning algorithms and the increasing volume of training data [1, 2, 3]. While the concept of learning curves is well-established, clustering these curves based on fitting parameters remains an underexplored area. Our study delves into this domain and leverages the Learning...
bachelor thesis 2024
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Maguire, Aaron (author)
To assist smokers in potentially quitting their habit, this paper investigates digital eHealth applications. Based on a dataset provided by research into an eHealth application, it aims to determine if persuasive activities can convince users of the usefulness of competencies determined to assist in quitting smoking. A thematic analysis was used...
bachelor thesis 2024
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Kok, Thys (author)
AmpliDiff is an algorithm for studying environmental samples. As the study of those DNA samples is complicated, the runtime of AmpliDiff holds back its usability. One time-consuming part is exactly solving a variant of the Set Cover problem. This paper researches whether this exact solution can be replaced by heuristics to reduce the runtime....
bachelor thesis 2024
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Alwani, Neil (author)
This study investigates the application of generative models for synthetic data generation in pathway optimization experiments within the field of metabolic engineering. Conditional Variational Autoencoders (CVAEs) use neural networks and latent variable distributions to generate new, plausible data samples. We adapt this model by conditioning...
bachelor thesis 2024
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Sandifort, Jelle (author)
This paper presents a comprehensive experimental study on the use and impact of external repositories in the Maven ecosystem. For this research the prevalence, naming patterns, and potential risks associated with external repositories were analyzed. We analyzed 199,188 packages and found that 3.29% of projects employ external repositories. Our...
bachelor thesis 2024
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Schaap, Gert-Jan (author)
Although existing work demonstrates that the usage of Scratch strengthens programming skills, little is known about the effect of children encouraging or criticizing each other when programming on the development of their programming skills. To address this gap, we conducted a data analysis to reveal the correlation (or lack thereof) between the...
bachelor thesis 2024
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Polimac, Dean (author)
In this study we introduce a different approach to the primer selection problem in the AmpliDiff [12] algorithm. Two different metrics, being the Hamming distance [2], and the Levenshtein distance [4], are used to compute sets of similar primers. This is done such that locations where mismatches between the primers and the target sequence can...
bachelor thesis 2024
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Roest, Vivian (author)
This paper examines the release practices of Java Maven Repositories on GitHub. Most prior research in this vein has been done on Maven Central, the largest Maven package repository. However, GitHub hosts 15.5 million Java repositories, and is left untapped. Additionally of interest is the fact that GitHub provides a competitor to Maven Central,...
bachelor thesis 2024
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Iftimescu, Vlad (author)
Smoking has been one of the great threats to health in recent years, being strongly correlated with multiple negative health consequences, including lung cancer. Recent research suggests that artificial intelligence chatbots can be effective in persuading healthy behavior change. However, these chatbots usually rely on persuasive techniques to...
bachelor thesis 2024
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Kirbeyi, Doruk (author)
This research explores the landscape of dataset generation through the lens of Probabilistic Principal Component Analysis (PPCA) and β-Conditional Variational Auto-encoder (β-CVAE) models. We conduct a comparative analysis of their respective capabilities in reproducing datasets that mirror the distribution of the original data that comes from a...
bachelor thesis 2024
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Kuļikovskis, Gints (author)
This study conducts an investigation of the challenges faced by aging projects in Maven Central, focusing on the issue of missing dependencies. Using the Maven Explorer indexer, we systematically examine the correlation between the age of a project and the frequency of dependency resolution failures. Our analysis reveals a notable trend: older...
bachelor thesis 2024
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Van Opstal, Quinten (author)
Federated learning provides a lot of opportunities, especially with the built-in privacy considerations. There is however one attack that might compromise the utility of federated learning: backdoor attacks [14]. There are already some existing defenses, like flame [13] but they are computationally expensive [14]. This paper evaluates a version...
bachelor thesis 2024
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Bakker, Bo (author)
Data-driven approaches are a promising new addition to the list of available strategies for solving Partial Differential Equations (PDEs). One such approach, the Principal Component Analysis-based Neural Network PDE solver, can be used to learn a mapping between two function spaces, corresponding to a PDE. However, the practical limitations of...
bachelor thesis 2024
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Kiste, Amund (author)
Solving Partial Differential Equations (PDEs) in engineering such as Navier-Stokes is incredibly computationally expensive and complex. Without analytical solutions, numerical solutions can take ages to simulate at great expense. In order to reduce this cost, neural networks may be used to compute approximations of the solution for use during...
bachelor thesis 2024
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Karskens, Samuel (author)
Abundance estimation with the use of environmental samples has been used during the SARS-CoV-2 pandemic to identify the abundances of different lineages. AmpliDiff, an algorithm that tries to find parts of DNA that can differentiate between different input genomes was used on a SARS-CoV-2 dataset to find these amplicons. The AmpliDiff algorithm...
bachelor thesis 2024
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Taklimi, Sam (author)
The objective of this project is to train a model that transforms a tree with its foliage into only its branch structure. This is achieved by employing machine-learning techniques, specifically Generative Adverserial Networks (GANs). By utilizing the proposed method, a predictive model is built that automatically minimizes its own error function...
bachelor thesis 2024
Collection: education
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