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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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Volkers, Bas (author)
Individualizing mechanical ventilation treatment regimes remains a challenge in the intensive care unit (ICU). Reinforcement Learning (RL) offers the potential to improve patient outcomes and reduce mortality risk, by optimizing ventilation treatment regimes. We focus on the Offline RL setting, using Offline Policy Evaluation (OPE), specifically...
master thesis 2024
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Parolya, N. (author), Heiny, Johannes (author), Kurowicka, D. (author)
Consider a random vector y = Σ <sup>1/2</sup> x, where the p elements of the vector x are i.i.d. real-valued random variables with zero mean and finite fourth moment, and Σ <sup>1/2</sup> is a deterministic p × p matrix such that the eigenvalues of the population correlation matrix R of y are uniformly bounded away from zero and infinity. In...
journal article 2024
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Gwalani, Punit (author)
With a dedicated mission to the Martian moons, Phobos and Deimos, set to launch soon, there is a growing interest in further exploring these moons using low-thrust propulsion. This paper investigates the trajectory design for a sample-return mission from Deimos using fuel-free solar sail propulsion technology, aiming to maximize operational time...
master thesis 2024
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Homola, Marek (author)
In the rapidly evolving aviation sector, the quest for safer and more efficient flight operations has historically relied on traditional Automatic Flight Control Systems (AFCS) based on high-fidelity models. However, such models not only incur high development costs but also struggle to adapt to new, complex aircraft designs and unexpected...
master 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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Alaifari, Rima (author), Bartolucci, F. (author), Steinerberger, Stefan (author), Wellershoff, Matthias (author)
Gabor phase retrieval is the problem of reconstructing a signal from only the magnitudes of its Gabor transform. Previous findings suggest a possible link between unique solvability of the discrete problem (recovery from measurements on a lattice) and stability of the continuous problem (recovery from measurements on an open subset of R<sup>2...
journal article 2024
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Muscari, C. (author), Schito, Paolo (author), Viré, A.C. (author), Zasso, Alberto (author), van Wingerden, J.W. (author)
Actuator line modeling of wind turbines requires the definition of a free-stream velocity in a computational mesh and a regularization kernel to project the computed body forces onto the domain. Both choices strongly influence the results. In this work, a novel velocity sampling method—the so-called effective velocity model (EVM)—is...
journal article 2024
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González, Rodrigo A. (author), Tiels, Koen (author), Oomen, T.A.E. (author)
Sampling in control applications is increasingly done non-equidistantly in time. This includes applications in motion control, networked control, resource-aware control, and event-based control. Some of these applications, like the ones where displacement is tracked using incremental encoders, are driven by signals that are only measured when...
journal article 2024
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Holthuizen, Patrick (author), Copuroglu, Oguzhan (author)
Sample preparation is of utmost importance for any microscopy and microstructural analysis. Correct preparation will allow accurate interpretation of microstructural features. A well-polished section is essential when scanning electron microscopy (SEM) is used in backscattering electron (BSE) mode and characteristic X-rays are to be...
journal article 2024
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Naber, Titus (author)
master thesis 2023
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Ren, Hao (author)
The phenomenon of one element moving and progressively overlaying another is common in nature, such as waves swashing and backwashing, or eyelids moving over eyeballs while blinking. Folding Texture, which was proposed by Thorben, can simulate this texture “folding” visual effect in real-time without changing geometry.<br/>However, to date, no...
master thesis 2023
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Looman, Menno (author)
Traditionally, Event-Triggered Control (ETC) methods are sample-and-hold control schemes that implement a triggering condition in order to reduce the number of control updates. Given a decay rate of the Lyapunov function, they focus on minimizing the (average) Inter-Sample Time (IST). In this thesis, we focused on the scheduling of Periodic...
master thesis 2023
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Syed Mohamed, Abdul (author)
This thesis explores the dealiasing methods of the Doppler spectrum for the case of a fast-scanning weather radar with the possibility of being used in the development of future weather radars. From the literature, log-periodic sampling which is a type of non-uniform sampling is adapted for Doppler dealiasing. The sampling parameters of log...
master thesis 2023
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Li, Tianyi (author)
In this work, we deal with the problem of reconstructing a complete bandlimited graph signal from partially sampled noisy measurements. For a known graph structure, some efficient centralized algorithms are proposed to partition the nodes of the graph into disjoint subsets such that sampling the graph signal from any of these subsets leads to a...
master thesis 2023
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Perez SAlgado, Barbara (author)
Following the 2015 Paris Agreement, many countries are switching from fossil fuel to a more renewable energy supply. However, the CO$_2$ concentration in the atmosphere keeps increasing which makes difficult to accelerate the transition to a net-zero emission. In 2020, a new record of CO$_2$ concentration at 412.5 ppm was achieved, the highest...
master thesis 2023
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van Hoorn, Timo (author)
Sample selection bias occurs when the selected samples in a subset of the original data set follow a different distribution than the samples from the original data set. This type of bias in the training set could result in a classifier being unable to predict samples from a testing data set optimally. Domain adaptation techniques try to adapt...
bachelor thesis 2023
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TOCIU, Andrei (author)
Importance weighting is a class of domain adaptation techniques for machine learning, which aims to correct the discrepancy in distribution between the train and test datasets, often caused by sample selection bias. In doing so, it frequently uses unlabeled data from the test set. However, this approach has certain drawbacks: it requires...
bachelor thesis 2023
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Khan, Zeeshan (author)
Sample selection bias is a well-known problem in machine learning, where the source and target data distributions differ, leading to biased predictions and difficulties in generalization. This bias presents significant challenges for modern machine learning algorithms. To tackle this problem, researchers have focused on developing domain...
bachelor thesis 2023
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Hallema, Rinze (author)
The computation of normalizing constants often brings (higher-dimensional) integrals, which could not be computed analytically or are computationally expensive. Stochastic methods will be explored to find an estimate for normalizing constants. These stochastic methods will be used to estimate the Bayes factor. With this Bayes factor can be...
bachelor thesis 2023
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