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Yarce Botero, A. (author)When considering air quality, notably in South America, it seems that we are falling behind more developed regions in exacerbating the issue. This shortfall serves not just as observation, but as a warning, as air quality problems here are rapidly escalating. Nevertheless, by examining how other countries have addressed similar issues, we can...doctoral thesis 2024
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Roest, Vivian (author)This paper examines the release practices of Java Maven Repositories on GitHub. Most prior research in this vein has been done on Maven Central, the largest Maven package repository. However, GitHub hosts 15.5 million Java repositories, and is left untapped. Additionally of interest is the fact that GitHub provides a competitor to Maven Central,...bachelor thesis 2024
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Kirbeyi, Doruk (author)This research explores the landscape of dataset generation through the lens of Probabilistic Principal Component Analysis (PPCA) and β-Conditional Variational Auto-encoder (β-CVAE) models. We conduct a comparative analysis of their respective capabilities in reproducing datasets that mirror the distribution of the original data that comes from a...bachelor thesis 2024
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van der Schoot, Mathijs (author)The Maven ecosystem, with an emphasis on Maven Central, contains a plethora of toy-projects. This paper addresses this problem by formulating a core containing the pillars of the Maven ecosystem, such that it can be exploited for research concerning li- brary quality. The construction of said core is done by analyzing the availability, relevance...bachelor thesis 2024
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Feng, Kevin (author)This research investigates the impact of data imbalances on the learning curve using the nearest mean model. Learning curves are useful to represent the performance of the model as the training size increases. Imbalanced datasets are often encountered in real-life scenarios and pose challenges to standard classifier models impacting their...bachelor 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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Waterhout, Max (author)This study investigates the influence of synthetic data on the accuracy of 6D pose estimation in RGB images compared to RGB-Depth image-based methods. Additionally, it aims to examine how this performance varies across different types of small chess pieces during a picking task with a robotic arm. The methodology involves 3D scanning the chess...master thesis 2024
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Gunce, Cem (author)Today's electricity supply falls short of current demands, leading to the utilization of gas turbines in both ground based and avionic infrastructures. Nevertheless, these often rely on carbon-based fuels, resulting in escalating CO2 emissions. However, adopting hydrogen as a fuel eliminates carbon emissions. Aside from zero carbon emissions,...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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Koeleman, Friso (author)In 2006 already, Clive Humby said: “Data is the New Oil!” and like oil, data needs “infrastructure” to be gathered, analyzed and used. This infrastructure is called data governance and it is essential in today’s data-driven era to ensure availability, quality and security of an organization’s data. This is especially true for financial services...master thesis 2024
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Qin, Xusen (author)Neural networks have made significant progress in domains like image recognition and natural language processing. However, they encounter the challenge of catastrophic forgetting in continual learning tasks, where they sequentially learn from distinct datasets. Learning a new task can lead to forgetting important information from previous tasks,...master thesis 2024
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Gökalan, Emre (author)Greenhouses offer the promise to mitigate the challenges faced by traditional open field agri- culture. Operating these systems on a commercial scale demands effective control and forecast models. This thesis contributes to the increasing field of research that applies methods from systems and control to greenhouse systems. The primary objective...master thesis 2024
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Cai, Cynthia (author)Point cloud data are gaining more importance in the Geomatics domain, with the development of modern sensing technologies like LiDAR and photogrammetry. The size of massive point clouds are growing, and the performance of traditional database solutions for its data management become insufficient. It remains a huge challenge for researchers to...master thesis 2024
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Cheng, Y. (author), Krishnakumari, P.K. (author)To analyze inherent and diverse patterns within line-based public transport daily delay occurrences, we introduce a data-driven exploratory analysis focused on the spatial-temporal distribution of these delays. Our approach relies on the utilization of the image pattern recognition technique and k-means clustering algorithm. We extract daily...journal article 2024
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Sun, Junzi (author), Roosenbrand, E.J. (author)Contrails, formed under specific atmospheric conditions, have a noteworthy role in heat-trapping within the atmosphere. This study bridges the gap between theoretical contrail formation models and real-world data by employing flight information from OpenSky and meteorological data from the European Centre for Medium-Range Weather Forecasts. We...journal article 2024
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Sun, Junzi (author), Roosenbrand, E.J. (author)Contrails, formed under specific atmospheric conditions, have a noteworthy role in heat-trapping within the atmosphere. This study bridges the gap between theoretical contrail formation models and real-world data by employing flight information from OpenSky and meteorological data from the European Centre for Medium-Range Weather Forecasts. We...contribution to periodical 2024
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Salgas, A. (author), Sun, Junzi (author), Delbecq, Scott (author), Planès, Thomas (author), Lafforgue, Gilles (author)The study of the environmental transition of the aviation sector calls for prospective traffic scenarios. Detailed traffic and emissions inventories are often needed to refine the available analyses and to enable the simulation of regionalised scenarios. In the past studies, these are generally based on commercial, proprietary traffic data,...journal article 2024
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Li, Qiongxiu (author), Gundersen, Jaron Skovsted (author), Lopuhaa-Zwakenberg, Milan (author), Heusdens, R. (author)Privacy-preserving distributed average consensus has received significant attention recently due to its wide applicability. Based on the achieved performances, existing approaches can be broadly classified into perfect accuracy-prioritized approaches such as secure multiparty computation (SMPC), and worst-case privacy-prioritized approaches...journal article 2024
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Siebinga, O. (author), Zgonnikov, A. (author), Abbink, D.A. (author)Traffic interactions between merging and highway vehicles are a major topic of research, yielding many empirical studies and models of driver behaviour. Most of these studies on merging use naturalistic data. Although this provides insight into human gap acceptance and traffic flow effects, it obscures the operational inputs of interacting...journal article 2024