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Hols, Jesse (author)Performance-driven generative design has been commonly used in engineering applications. In addition to performance metrics, aesthetics play an important role in the acceptance of generatively designed forms. When generating these shapes using generative programs, it is not clear in advance what the outcome will be, and thereby what they will...master thesis 2024
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Chen, Ivo (author)Large language models (LMs) are increasingly used in critical tasks, making it important that these models can be trusted. The confidence an LM assigns to its prediction is often used to indicate how much trust can be placed in that prediction. However, a high confidence can be incorrectly trusted if it turns out to be incorrect, also known as a...master thesis 2024
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Cisneros Acevedo, Daniel (author)Recent advancements in deep learning for aircraft engine fault detection have been predominantly focused on research using simulated datasets. Despite significant progress, the gap between simulated and real-world data underscores a pressing need for models that are more applicable and adaptable to the aerospace industry. This discrepancy stems...master thesis 2024
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van der Wel, Iris (author)Data-driven health research, specifically the development of AI models, is hampered by poor data availability and associated administrative burdens, caused complex and fragmented data protection regulation. To reap the benefits of using high quality health data, while safeguarding data protection of patients, the synthetic data generation is...master thesis 2024
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Zhu, P. (author)Questions are critical for information-seeking and learning. Automatic Question Generation (AQG) involves the subjects of Information Retrieval (IR) and Natural Language Processing (NLP), and focuses on automatically creating questions for various applications, subjects which have been studied for decades. In this thesis, we study how to create...doctoral 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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Woernle, Severin (author)Lower-limb exoskeletons often use trajectory-tracking control to define the device's motion and assistance level. One challenge lies in ensuring a smooth and comfortable interaction between the user and the robotic device by defining a reference trajectory. While recent research has focused on generating individualized gait patterns based on...master thesis 2024
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van Tooren, Tim (author)This Master’s thesis investigates strategies for Yonderland, Europe's largest premium outdoor retailer, to attract and retain Generation Z, a demographic not previously targeted by the company. Through extensive research, including qualitative and quantitative methods, a literature review, interviews with stakeholders, and multiple creative...master thesis 2024
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Shirali Hossein Zade, R. (author)The genome encompasses an organism’s full DNA, organized into chromosomes within the cell nucleus. Humans have 46 paired chromosomes, and within these pairs, genetic information is grouped as haplotypes—genetic packages passed from one generation to the next, ensuring genetic diversity. While DNA sequencing produces short fragments or reads,...doctoral 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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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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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
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A generative AI integration tool for managers: Preparing, dealing and thriving with the impact of AIvan Veen, Joep (author)This graduation report presents a comprehensive approach to the identification of an opportunity in the rising technology and interests in generative AI. The report delivers a concept for a tool that is designed for managers. The tool is aimed at aiding in the integration of generative AI within teams. The project is grounded in a literature...master thesis 2024
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Vloeberghs, Victor (author)This thesis introduces a newly-developed turbulent combustion model, as a next step towards modelling hydrogen combustion in aircraft engines. The proposed model (FGM-ESF) merges the Flamelet Generated Manifold approach's tabulated chemistry with the Eulerian Stochastic Field method's statistical treatment of flame-turbulence interactions at the...master thesis 2024
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Moleman, Rob (author)Product sounds are important in our interactions with them. The temporal and context-dependent nature of sound makes it difficult to design them. There is a semantic gap between how we talk about sound and how it is embodied. Sound-driven design aims to improve this in two ways. It proposes a human-centered design approach, focusing on designing...master thesis 2024
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Wang, Zipeng (author)Deep-learning-based object detectors, while offering exceptional performance, are data-dependent and can suffer from generalization issues. In this thesis, we investigated deep neural networks for detecting people and medical instruments in the vision-based workflow analysis system inside Catheterization Laboratories (Cath Labs). The central...master thesis 2024
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Chen, Hsukang (author)To achieve greater specificity in neurostimulation, bidirectional neural interfaces are required to verify the recorded neural response after stimulation. The specific neural interface targeted in this thesis is the epiretinal implant. Due to the heterogeneity of the retinal ganglion cells (RGCs), high-fidelity vision is only possible when all...master thesis 2024
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Tangelder, Laura (author)This thesis examines how TU Delft could adapt its study places in generic educational buildings to meet current and future demands. This research is done through a literature review and an examination of three<br/>representative cases at TU Delft and in-depth, semi-structured interviews.<br/><br/>Despite the expectations of a pandemic-induced...master thesis 2024
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Arnoldus, Matthijs (author)Computational efficiency is essential for large-scale mathematical optimisation problems, such as the generation expansion planning problem, to be practically applicable. In linear programming solvers, crossover is frequently a bottleneck when solving optimisation problems. This study aims at determining why crossover is a bottleneck in solving...master thesis 2024
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Ganeshpure, D.A. (author)The integration of wind and solar energy through power electronic converters has introduced new challenges to High Voltage (HV) equipment in the electrical power system. Switchgear, cables, and transformers are now subject to higher dV/dt stress and complex wave shapes due to solid-state switching. This poses a threat to the reliability of the...doctoral thesis 2024