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Kukkola, Max (author)Heterogeneous materials are vital for both the modern engineer and inquisitive scientist alike. They make up a vital material class that can either form inevitably as a result of material processing (such as crystallization in metals) or can be intentionally designed for to gain desirable properties (such as anisotropy in composites). As such,...master thesis 2024
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Chung, Chris (author)Loss-of-Control (LoC) is the primary cause of drone crashes, necessitating efficient onboard prevention systems that are effective in terms of sensor requirements, computing power, and memory. This study introduces a data-driven approach for detecting LoC in quadrotors, using Critical Slowing Down (CSD) theory as an Early Warning Signal (EWS) of...master thesis 2024
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Le Poole, Dorius (author)River discharge is traditionally required with a lot of measurements and data. However there are areas where discharge data is not available. In this research a tool is developed based on hydraulic geometry relations to estimate the discharge of a river in bank full state near Narok, Kenya. With the help of the Global Navigation Satellite System...master thesis 2024
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Henkes, Casper (author)From formal hardware models to programming language implementations concurrency is everywhere. While there has been a lot of work done on verifying concurrent systems a large part of it is focused on SC. In practice, it is more common to encounter weak memory models for which the techniques developed for SC do not work. There exists previous...master thesis 2024
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Pelka, S. (author)The potential of households to adapt their energy use to the conditions of the energy system remains largely untapped due to shortcomings in consumer governance (i.e., the organization of household energy use). A lack of price signals and services leads to uncoordinated household energy use. Various proposals exist for updating consumer...doctoral thesis 2024
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Yin, Lanke (author)This work introduces a novel training strategy for Gaussian Process (GP) models aimed at improving their predictive accuracy and uncertainty quantification capabilities over extended prediction horizons. This improvement is highly relevant for applications in model predictive control (MPC) in the autonomous driving domain. Learning-based MPC...master thesis 2024
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Lengyel, A. (author)Computer vision algorithms are getting more advanced by the day and slowly approach human-like capabilities, such as detecting objects in cluttered scenes and recognizing facial expressions. Yet, computers learn to perform these tasks very differently from humans. Where humans can generalize between different lighting conditions or geometric...doctoral thesis 2024
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Mouw, Zeger (author)The advancement of artificial intelligence (AI) has led to an increased demand for both a greater volume and quality of data. In many companies, data is dispersed across multiple tables, yet AI models typically require data in a single table format. This necessitates the merging of these tables and the selection of optimal features for the model...master thesis 2024
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Diab Montero, H.A. (author)In this dissertation, I explore ensemble data assimilation methods to enhance our capability to forecast earthquakes and slow slip events, focusing on the critical challenge posed by limited information on the current stress state of faults. <br/>At the outset, the research acknowledges the inherent limitations in our current understanding of...doctoral thesis 2024
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Anton, Mihai (author)In large-scale ML, data size becomes a critical variable, especially in the context of large companies, where models already exist and are hard to change and fine-tune. Time to market and model quality are essential metrics, thus looking for ways to select, prune and augment the input data while treating the model as a black box can speed up the...master thesis 2024
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Qiu, Y. (author)Innovation is critical in driving economic growth. It fosters new products and services to move the economy forward. On the other hand, innovation requires new technologies to thrive. One such technology that has revolutionised various industries is big data. By harnessing big data, businesses can unlock valuable insights to enhance decision...doctoral 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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Odenwald, Kirsten (author)Cultivated meat emerges as an innovative food product with the potential to address the challenges of the conventional meat industry. Moreover, the technology proves to be a potential option for consumers seeking to align with ethical considerations without altering their dietary preferences. Despite its promise, one significant barrier is...master thesis 2024
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van Aalst, Marjolein (author)Land administration is the organized and systematic process of establishing and maintaining information about land. The efficient practice of land administration is anticipated to organize land registers for the provision of cross-sector and cross-border land administration services. Such a system should provide fundamental information regarding...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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van den Bogaard, Fenna (author)The origin of the Martian dichotomy is subject to question and no substantial evidence exists. Some surface and interior features that are not visible in, e.g., topography data, can show up in gravity data. Therefore, this research inverts gravity data to find a crustal and mantle global density model. Previous research performed a one-layer...master thesis 2024
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van Cranenburgh, Tom (author)With renewed interest in the development of civil supersonic aircraft, their return in the future is becoming more ever more likely. The environmental impact of emissions in the stratosphere on climate and the ozone layer therefore needs to be explored. The stratospheric ozone levels determine the amount of harmful ultraviolet radiation reaching...master thesis 2024
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Andringa, Jilles (author)Machine learning models have improved Prognostics and Health Management (PHM) in aviation, notably in estimating the Remaining Useful Life (RUL) of aircraft engines. However, their 'black-box' nature limits transparency, critical in safety-sensitive aviation maintenance. Explainable AI (XAI), particularly Counterfactual (CF) explanations, offers...master thesis 2024
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Rademaker, Julia (author)Over the past few decades, there has been a significant increase in the number of professional female athletes. One thing that both professional and amateur athletes can experience is the effects of their hormonal cycles. These hormonal cycles can affect their performance, and in return, their performance can affect their hormonal cycle. However...master thesis 2024