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Johari, Pratham (author)
This study explores the extrapolation of learning curves, a crucial aspect in evaluating learner performance with varying dataset sample sizes. We use the Learning Curve Prior Fitted Network (LC-PFN), a transformer pre-trained on synthetic data with proficiency in approximate Bayesian inference, to investigate its predictive accuracy using the...
bachelor thesis 2024
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van Maris, Bart (author)
Algorithmic planners occasionally waste effort and thus computing time trying to solve certain tasks, as they often lack the human ability to recognize essential paths. These essential paths, termed landmarks, are vital for optimizing planning processes. This study revisits landmark-based planning methods introduced by Richter, Helmert, and...
bachelor thesis 2024
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Feng, Kevin (author)
This research investigates the impact of data imbalances on the learning curve using the nearest mean model. Learning curves are useful to represent the performance of the model as the training size increases. Imbalanced datasets are often encountered in real-life scenarios and pose challenges to standard classifier models impacting their...
bachelor thesis 2024
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Tesink, Kriss (author)
This research investigates the impact of goal-oriented visualization on machine learning knowl-edge acquisition, particularly exploring its poten-tial to address procrastination in academic settings. By examining participants with no prior machine learning experience, the study employs compara-tive and correlational measures to analyze quiz per-...
bachelor thesis 2024
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Rębacz, Mateusz (author)
Open Source developers typically use Git repositories to transparently store the source code of projects and contribute to the code of others. There are millions of repositories actively hosted on platforms such as GitHub. This presents an opportunity for sharing knowledge between related projects – the so-called digital siblings. Finding...
bachelor thesis 2024
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Mušić, Ismail (author)
To aid the teachings of machine learning (ML), the usage of elaborative interrogative practice questions (EIPQ) is proposed to increase the long-term memory retention of said teaching. Firstly, the existing expectations of students in the current educational landscape are analyzed by taking a look at the undergraduate course present in Delft...
bachelor thesis 2024
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Dujmović, Grga (author)
The increasing presence of Machine Learning in all fields of study requires an improvement in how it is taught. Previous research on this topic examined how to teach ML concepts and highlighted the importance of using technology and leveraging relevant pedagogical content knowledge. It did not compare the impact of previous programming knowledge...
bachelor thesis 2024
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Sahay, Shashwat (author)
L-Systems allow for the efficient procedeural generation of trees to be used for rendering in video games and simulations. Currently, however, it is difficult to engineer grammars that mimic the behaviours of real life trees in 3 dimensions. To be able to deduce them, the skeleton of a tree can be used to train a model and generate an L-system...
bachelor thesis 2024
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Tjoen, Noah (author)
Landmarks are propositions or actions that must be true at some point in every valid solution plan [16]. Using landmarks, planners can develop solutions more efficiently. Different algorithms exist to extract landmarks from a planning problem. The one used in this study is FULL [13], a landmark extraction algorithm by Marzal et al. from 2011.<br...
bachelor thesis 2024
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Tervoort, Paul (author)
A lot of research has been conducted to make the task of plan generation more efficient. One idea to do so is the use of landmarks, which are sub-goals that must be true in every solution to the problem. The approximation of landmarks has a lower complexity than solving the task itself, and they can be used to guide the planner in the right...
bachelor thesis 2024
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Yang, Ka Fui (author)
The Fast Downward planning system is currently mainly used for solving classical problems. Another alternative to Fast Downward is SymbolicPlanners, which sacrifices speed for generality and extensibility. SymbolicPlanners is missing landmark based planners and landmark extraction algorithms. The research question we are trying to answer in this...
bachelor thesis 2024
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den Boon, Kevin (author)
AmpliDiff provides a method which takes a list of genomes and their lineages, and finds a set of amplicons and their primers in such a way that these amplicons can be used to differentiate between the lineages of a specific virus. While it has been shown that AmpliDiff find results comparable to whole genome sequencing for SARS-CoV-2 when...
bachelor 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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Manoli, Calin (author)
GitHub is the home of hundreds of millions of Open Source Software(OSS) repositories where users collaborate on projects and find inspiration for new ideas. Some of these projects have certain build configurations set up to make building, testing, and deploying the software more time-efficient and less error-prone. However, setting up the...
bachelor thesis 2024
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van Lieshout, Jelle (author)
Author name disambiguation, otherwise described as (publication) record linking, is a problem that has had considerable research dedicated to its solv- ing. Author attributions, calculating research met- rics and conducting literature reviews are amongst processes that experience increased difficulty due to ambiguous author names. In this study,...
bachelor thesis 2024
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Mladenović, Todor (author)
Multi-Server Federated Learning (MSFL) is a decentralised way to train a global model, taking a significant step toward enhanced privacy preservation while minimizing communication costs through the use of edge servers with overlapping reaches. In this context, the FedMes algorithm facilitates the aggregation of gradients, contributing to the...
bachelor thesis 2024
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Bouma, Eline (author), Damoiseaux, Luke (author), Groeneveld, Jorik (author)
The increase in non-linear loads of modern electronics raises concerns over power quality. Additionally, existing power-quality analyzers are expensive and not intended for household use. This thesis aims to develop a single-phase, user-friendly power-quality analyzer using a Raspberry Pi 4 Model B with an emphasis on low cost and class S...
bachelor thesis 2024
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Yildiz, Hüsna (author), de Vries, Marten (author), Öztürkoglu, Emirhan (author)
This thesis describes the design of a low-cost class-S power quality analyzer based on a Raspberry Pi 4. Capable of detecting power frequency, magnitude, voltage dips and swells, harmonics, and total harmonic distortion, the project consists of four main components: the communication protocol, the interface, the algorithms for power quality...
bachelor 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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Qadriyeh, Ezzat (author)
The method of Macaulay utilizes singularity functions to describe discontinuous forces acting on beam structures. This method has been extended to determine internal forces and deformation properties, where the beam is inclined at a certain angle or curved.
bachelor thesis 2023
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