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Manikandan, Rakshith (author)Fibre-reinforced laminated composites are constructed layer-by-layer, allowing their material properties to be easily tailored relative to their isotropic counterparts (metallic alloys). Moreover, a composite structure with variable stiffness (VS) can be made by spatially tailoring stiffness across a laminate. This permits better load...master thesis 2023
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Beckker, Annelieke (author)The Haagse Beemden in Breda is a neighbourhood that is designed towards the concept of the ‘’inverse town planning’’. In this concept, the underlying landscape structures the layout of the neighbourhood, resulting in an urban area with the landscape at its core. In the case of the Haagse Beemden this means that the neighbourhood was built around...master thesis 2023
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Zhang, Ting (author)Underactuated mechanical systems (UMS) feature prominently in robotics and aerospace, with aircraft, unmanned air vehicles, and aeroelastic wings as prime examples. These systems present multifaceted control challenges, ranging from inherent underactuation and stability concerns to state and control saturation and an overarching need for...master thesis 2023
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Wehner, Jan (author)Learning rewards from humans is a promising approach to aligning AI with human values. However, methods are not able to consistently extract the correct reward functions from demonstrations or feedback. To allow humans to understand the limitations and misalignments of a learned reward function we adopt the technique of counterfactual...master thesis 2023
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Schiller, Carl (author)In Geodesy, the development of accurate Digital Elevation Models of the surface helps to provide height data for various applications in other Earth Science disciplines. These models are used as base models for studies. Geophysics can be a support science when providing base models for non-invasive studies inside the Earth. Such models can be...master thesis 2023
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Jokic, I. (author)The concept of a network, defined as a collection of interconnected nodes or entities, has become a foundation for a new field of inquiry, namely network science. Despite the apparent simplicity of the concept, the pairwise representation of interconnecting nodes has enabled a plethora of insights into the structure of networks and the effects...doctoral thesis 2023
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Tian, X. (author)This study investigates the application of inverse modeling in numerical geo-energy scenarios such as petroleum, geothermal, and CCS projects. The study aims to enhance model accuracy and predictive capabilities for real-world applications. The focus lies on the implementation of the inverse modeling framework within the open-source simulator...doctoral thesis 2023
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Suresan, Anjali (author)Atrial Fibrillation (AF) is a cardiac arrhythmia that occurs due to the initiation of electrical impulses in the heart in an uncoordinated manner, giving rise to a disorganized and rapid heartbeat. The progression of AF over time can lead to complications such as stroke and heart failure. Catheter ablation is an established treatment protocol...master thesis 2023
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Ziegon, Anton (author)Geophysical methods are widely used to gather information about the subsurface as they are nonintrusive and comparably cheap during acquisition, however, the solution to the geophysical inverse problem is inherently non-unique which introduces considerable uncertainties. Therefore, independently acquired geophysical data sets can be jointly...master thesis 2023
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Riskutia, Balázs (author)Integrating renewables in the electricity system in a cost-efficient way requires massive transmission system investments and the efficient use of available transmission capacity. Markets are pivotal in the latter, especially in coordinating flows between countries. In the European Union, flow-based market coupling (FBMC) arose as the preferred...master thesis 2023
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Westerweel, Lucy (author)This thesis aims at introducing the reader to the mathematical concepts behind the imaging technique X-ray tomography, commonly known as a CT scan. It includes the derivation of the filtered and unfiltered backprojection reconstruction methods for noise-free data. It was concluded that for noisy data, X-ray tomography is an ill-posed, and...bachelor thesis 2023
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Licurici, Teodor (author)Estimating the transmembrane currents travelling through the epicardium and local activation times based on atrial epicardial electrograms can greatly help in the study of cardiac arrhythmias such as atrial fibrillation. This work focuses on the accurate estimation of the aforementioned signals and features. To do this, two least squares-based...master thesis 2023
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Ippolito, Andrea (author)The increasing number of Renewable Sources (RES) in the European electric grid has resulted in the necessity for producers to adjust their position with respect to the change in weather forecasting. Therefore, the European Power Exchange (EPEX SPOT) has seen an expansion of the Intraday Market (ID) where market participants can trade up until a...master thesis 2023
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Vroom, Anika (author)This thesis explores the application of Distributed Temperature Sensing (DTS) technology to observe temperature gradients and turbulent eddies within and above a forest vegetation layer. Atmospheric temperature gradients tie directly to heat transfer, a primary mode of which are turbulent eddies. The goal in studying these elements is to enhance...master thesis 2023
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Perdikis, Charalampos (author)Inverse Reinforcement Learning (IRL) aims to recover a reward function from expert demonstrations in a Markov Decision Process (MDP). The objective is to understand the underlying intentions and behaviors of experts and derive a reward function based on their reasoning, rather than their exact actions. However, expert demonstrations can be...bachelor thesis 2023
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Ikiz, Meric (author)A key issue in Reinforcement Learning (RL) research is the difficulty of defining rewards. Inverse Reinforcement Learning (IRL) is a technique that addresses this challenge by learning the rewards from expert demonstrations. In a realistic setting, expert demonstrations are collected from humans, and it is important to acknowledge that these...bachelor thesis 2023
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Vlasenko, Mikhail (author)Inverse Reinforcement Learning (IRL) is a subfield of Reinforcement Learning (RL) that focuses on recovering the reward function using expert demonstrations. In the field of IRL, Adversarial IRL (AIRL) is a promising algorithm that is postulated to recover non-linear rewards in environments with unknown dynamics. This study investigates the...bachelor thesis 2023
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Labbé, Rafael (author)This paper aims to investigate the effect of conflicting demonstrations on Inverse Reinforcement Learning (IRL). IRL is a method to understand the intent of an expert, by only feeding it demonstrations of that expert, which may be a promising approach for areas such as self driving vehicles, where there are a lot of demonstrations from experts....bachelor thesis 2023
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Zatezalo, Mateja (author)Inverse Reinforcement Learning (IRL) is a machine learning technique used for learning rewards from the behavior of an expert agent. With complex agents, such as humans, the maximized reward may not be easily retrievable. This is because humans are prone to cognitive biases. Cognitive biases are a form of deviation from rationality that affects...bachelor thesis 2023
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Hopman, Luuk (author)Asphalt concrete is one of the most widely used materials in modern road construction. Predicting its functional properties is crucial in the design of new asphalt concrete mixtures. However, current prediction models are limited in accuracy and applicability due to the complex nature of asphalt concrete properties. This thesis researches the...master thesis 2023