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Jansen, Hidde (author)Reinforcement Learning applied to flight control has shown to have several benefits over classical, linear flight controllers, as it eliminates the need for gain scheduling and it could provide fault-tolerance. The application to civil aviation in practice, however, is non-existent as there are multiple safety concerns. This research...master thesis 2024
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Koronaios, Panagiotis (author)This study investigates the development and application of meta-models for crashworthiness assessment of helicopter structures and components. It aims to address the challenges associated with scarcity of data from computationally expensive simulations and experimental drop-tests, and enable the use of surrogates in a crashworthiness...master thesis 2024
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Buriani, Gioele (author)This work introduces a novel methodology for the development of interpretable reduced-order dynamic models specifically tailored for jumping quadruped robots. Leveraging Symbolic Regression combined with autoencoder neural networks, the framework autonomously derives symbolic equations from data and fundamental physics principles capturing the...master thesis 2024
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Rijs, Joyce (author)<b>Background</b>: Undetected Intellectual Disability (ID) can lead to chronic stress due to overestimation by society. Chronic stress can cause stress-related health issues, like hypertension, chronic fatigue and abdominal complaints. When a physician (General Practitioner (GP) or medical specialist) does not recognize that a patient has ID,...master thesis 2024
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Bink, Kiki (author)Facing the critical challenge of reducing greenhouse gas (GHG) emissions in the maritime industry, this thesis explores the potential of smart control systems using Reinforcement Learning (RL) for autonomous sailing. Traditional controls for sailing fall short in navigating the complex, dynamic conditions of maritime environments. RL has shown...master thesis 2024
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Niemantsverdriet, Ruben (author)The periconceptional period, encompassing the embryonic phase, is a critical window where a majority of reproductive failures, pregnancy complications, and adverse pregnancy outcomes arise. The Carnegie staging system comprises 23 stages which are based on embryonic morphological development. This allows for the assessment of normal and abnormal...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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Caranti, Leonardo (author)This Master Thesis investigates the possible improvements to the Target Time Management concept to optimize the arrival flows for SWISS International Airlines. The aim is to improve operational performance based on the current model used, as well as prove that Target Time Management constitutes a valuable system to improve operations in a...master thesis 2024
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Ghasia, Zahra (author)The use of Electronic Health Records (EHRs) has seen a breakthrough in clinical research for personalized treatments (Hamburg & Collins, 2010.) Despite the potential advantages of vast EHR data available, constraints of privacy and legislation hinder its use (Rieke et al., 2020.) Health data exists in an interconnected healthcare system ...master thesis 2024
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Simonov, Alex (author)Machine learning, a pivotal aspect of artificial intelligence, has dramatically altered our interaction with technology and our handling of extensive data. Through its ability to learn and make decisions from patterns and previous experiences, machine learning is growing in influence on different aspects of our lives. It is, however, shown that...master thesis 2024
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van der Kolk, Floris (author)Machine learning on edge devices performs crucial identification or prediction tasks while limiting the amount of data that needs to be transmitted to more centralized computing nodes. However, strict area and energy requirements necessitate specialized hardware developed for the requirements of the device and model. This thesis is concerned...master thesis 2024
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Oosterholt, Torsten (author)Founded in 1910, Boskalis, a leader in offshore operations, contends with limitations in ABB's Ability Marine Advisory System 'OCTOPUS' in predicting maximum vessel motions for heavy-transport vessels (HTVs). Accurate prediction of these motions, especially roll and pitch, is vital for transporting large, heavy structures, as exceeding...master thesis 2024
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Meppelink, Geert jan (author)The growing demand for electricity, driven by widespread adoption of heat pumps, electric vehicles, and industrial electrification, strains power grids and introduces challenges for a reliable and secure supply amidst intermittent renewable energy integration. Network topology control offers flexibility, altering connections to redirect power...master thesis 2023
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Raizman, Omri (author)As the population aged 65 and above increases, falls among these older adults emerge as a significant public health concern, leading to disabil- ities and economic burdens. Preventative strategies and personalized fall risk assessments are essential for mitigating fall risks. Human Activity Recognition in early fall risk detection by monitoring...master thesis 2023
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Liu, TIANYI (author)With the widespread application of artificial intelligence, centralized machine learning approaches, which require access to users' local data, have raised concerns about data privacy. In response, federated learning, an architecture that aggregates models trained locally with local data, has been proposed. This approach addresses the data...master thesis 2023
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Fanizza, Vincenzo (author)Performing crucial activities for space exploration, e.g., debris removal and on-orbit servicing, systems for Rendezvous and Proximity Operations (RPO) are required to be autonomous and scalable. Within this context, learning-based relative navigation has gained significant traction due to the latest advancements in AI and the cost-effectiveness...master thesis 2023
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Aouichi, Ahmed (author)This thesis focuses on identifying and classifying defects in STT-MRAM technology using novel and machine learning approaches. The thesis discusses the basic principles of STT-MRAM and the semiconductor chip manufacturing process and test stages. The research aims to develop novel methods and explore machine-learning approaches to diagnose...master thesis 2023
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van Marrewijk, Josine (author)In this research the possibilities of the application of machine learning models at ‘Hoogheemraadschap van Delfland’ are studied. A random forest (RF) and an LSTM model are used for the prediction of the sum of the discharge in the next 2, 8 and 12 hours from the polders to the boezem canals. This research has showed the potential of machine...master thesis 2023
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Bolhuis, Luuk (author)Neuromuscular blocking agents (NMBAs) are commonly employed in anesthesia to facilitate intubation and improve surgical working conditions. Understanding their pharmacokinetics (PK) and pharmacodynamics (PD) is crucial for optimizing their administration. PK describes drug absorption, distribution, metabolism, and elimination, while PD links...master thesis 2023
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Ayllon Garcia, Miquel (author)Bainite steels are in high demand in many application areas owing to their outstanding mechanical properties, mainly due to the presence of a combination of fine bainite plates and retained austenite. Understanding the complicated mechanism of bainite transformation is crucial to creating an optimum design. Researchers have addressed this...master thesis 2023