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Blom, Sjoerd (author)The Dutch energy landscape is becoming more complex due to various interacting factors and uncertainties, creating what are known as "wicked problems" that demand collaborative solutions. This study addresses knowledge gaps by developing a collaborative guide for fostering effective Multi-Stakeholder Collaborations (MSCs) that can endure over...master thesis 2024
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van der Vliet, Willem (author)Digital twins (DTs) are a common way for city planners and citizens alike to visualize the impact of new policy decisions, simulate scenarios, and plan for disasters. The more detail these DTs have, the more useful they can be. Windows and doors, also known as building openings, are a critical detail missing in Amsterdam’s DT. While previous...master thesis 2023
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Knaven, Hugo (author)Due to climate change, there is a push toward a reduction of greenhouse gasses. Through spatial planning, the province of South Holland plays a role in this process. However, this requires insights into relation between the energy system and the built environment that is currently lacking. This thesis shows how spatial clustering using the K...master thesis 2023
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Timmerman, Gerben (author)This thesis offers a comprehensive exploration of log-based anomaly detection within the domain of cybersecurity incident response. The research describes a different approach and explores relevant log features for language model training, experimentation with different language models and training methodologies, and the investigation of the...master thesis 2023
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Groenendijk, Jurre (author)With the current state-of-the-art research, exporting a NeRF to a mesh has the side effect of having to evaluate a Multi Layer Perceptron at render-time, causing a significant decrease in performance. We have found a way to use K-Means clustering to pre-compute values for this MLP, storing them in multiple octahedron maps for the GPU to fetch...bachelor thesis 2023
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Vilhjálmsson, Thor (author)This thesis aims to investigate the feasibility of developing a successful unsupervised Structural Health Monitoring (SHM) methodology to detect damage in structures, specifically bridges. Detecting damage, especially in its earliest stages, is challenging, thus prompting the need for robust and effective methods. The success of such a...master thesis 2023
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Hassan, Pepijn (author)This research explores the feasibility of building a large-scale setpoint tracking controller for the co-regulation of Electric Vehicle (EV) charging stations, aiming to coordinate charging with energy market dynamics and minimize the error between a power setpoint and the aggregated consumption of charging stations while capitalizing on...master thesis 2023
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Hulskemper, Daan (author)The Earth's landscapes are shaped by processes eroding, transporting, and depositing material over various timespans and spatial scales. To understand these surface activities and mitigate potential hazards they inflict, knowledge is needed of their occurrences and properties. Near-continuous terrestrial laser scanning (TLS) enables the...master thesis 2023
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Kroese, Willem (author)Cloud droplet number concentrations change due to perturbations in aerosol concentrations. The strength of this correlation covaries with meteorology. Using polarimetric aerosol estimates and MODIS-2 cloud retrievals we compute the interaction strength per meteorological regime, which we determined using clustering techniques on MERRA-2...student report 2022
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Dijkstra, Sjoerd (author)Improving data quality is of the utmost importance for any data-driven company, as data quality is unmistakably tied to business analytics and processes. One method to improve upon data quality is to restore missing and wrong data entries. </p><p class="MsoNormal">The goal of this research is construct an algorithm such...master thesis 2022
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van Kessel, Bart (author)Dunes are the primary sea defence along the Dutch coast. This research investigated the development between 1965 and 2021 of the beaches and dunes of the Hoogheemraadschap Hollands Noorderkwartier (HHNK) area which stretches from IJmuiden to northern Texel. This research used an advanced data analysis on the annual coastal elevation data. The...master thesis 2022
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van der Wal, Robin (author)Multiple Instance Learning (MIL) is a type of semi-supervised machine learning used recently in medical and multi-media fields. In MIL, instead of a single feature vector, a set of feature vectors has to be classified. Standard MIL algorithms assume that only some of these vectors are useful for building a classifier. This paper extends the...master thesis 2022
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Gołyska, Urszula (author)Abrupt and rapid high-amplitude changes in a dynamical system’s states known as extreme events appear in many processes occurring in nature, such as drastic climate patterns, rogue waves, or avalanches. These events often entail catastrophic effects, therefore their description and prediction is of great importance. Nevertheless, because of...master thesis 2022
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van den Bos, Sjoerd (author)Electrocardiography is the craft of producing electrocardiograms. These graphs give physicians insight into the potential pathology of the heart. In order to come to a diagnosis, physicians use electrocardiograms in combination with follow-up physical examinations. There has been extensive research into automated methods that can differentiate...master thesis 2022
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Smit, Michiel (author)Coastal and offshore infrastructure must be designed to withstand extreme wave-induced loading conditions. Extreme Value Analysis (EVA) is often employed to infer probabilistic distributions that provide information about extreme design conditions. In traditional practices, EVA is performed under the assumption of stationarity. This means that...master thesis 2022
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de Water, Joey (author)Energy communities are not yet fully self sufficient, mostly due to financial factors. Efforts are made to reduce these factors. Communities invest in community-owned assets, which provide more savings compared to individually-owned assets. Prosumers share their loads for better energy distribution, this can provide a significant impact. A good...bachelor thesis 2022
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Olaru, Alexandra (author)The event-based camera represents a revolutionary concept, having an asynchronous output. The pixels of dynamic vision sensors react to the brightness change, resulting in streams of events at very small intervals of time. This paper provides a model to track objects in neuromorphic datasets, using clustering. In addition, a non-linear filter is...bachelor thesis 2022
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Rosbergen, Mathijs (author)Introduction: Gliomas are the most common primary malignant brain tumours with a very poor survival. Resistance to chemotherapy and radiotherapy often occurs in these tumours due to hypoxia, which can be caused by different oxygenation parameters. Multiple magnetic resonance imaging (MRI) techniques are able to assess these oxygenation...master thesis 2021
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Marchal, Maxim (author)Clustering is an important unsupervised learning task, with many applications in machine learning, computer vision, formal program verification and finance. Heuristic approaches such as local search are an excellent strategy for estimating the optimal solution, but they run the danger of getting stuck in local optima. Furthermore, it is non...master thesis 2021
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Grimm, Julius (author)In the summer of 2020, ETH researchers installed a 9 km long fiber-optic cable on the Rhonegletscher (Switzerland), covering the whole glacier extent from accumulation to ablation zone.<br/>The fiber was then interrogated with a DAS system, turning it into a distributed seismic antenna. The DAS system recorded continuously for one month on more...master thesis 2021