Searched for: subject%3A%22Clustering%22
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ANAGNOSTOU, Elina (author)
According to the Paris agreement in 2015, global warming should be limited by applying new innovative technologies in the industry in order to keep the global temperature 2 degrees Celsius above pre-industrial levels. Governmental organisations, institutes and manufacturing companies themselves are concerned about high emissions and all together...
master thesis 2023
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Hamida, A.B. (author), Eijkelenboom, A.M. (author), Bluyssen, P.M. (author)
Research has shown that students differ in their preferences of indoor environmental quality (IEQ) and psychosocial aspects of their study places. Since previous studies have mainly focused on identifying these preferences rather than investigating the different profiles of students, this study aimed at profiling students based on their IEQ and...
journal article 2023
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Shi, Rui (author), Wüthrich, D. (author), Chanson, Hubert (author)
Continuing from the part 1 (Shi et al., 2022) this paper presents an experimental investigation of transient void fraction and bubble statistics in a highly turbulent breaking bore with Fr<sub>1</sub>=2.4. The measurements were conducted using a combination of dual-tip phase-detection probes and an ultra-high-speed video camera. The enclosed...
journal article 2023
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Delboo, Maxime (author)
This thesis contains a rigorous derivation of the path integral formulation of the Isingmodel with multiple original proofs. Besides that, thesis also contains various resultsof simulations of the 2D square lattice Ising Model with nearest-neighbour interactionsusing the Swendsen-Wang algorithm. Using finite size scaling to find critical...
bachelor thesis 2022
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Catalani, Giovanni (author)
Advancements in aircraft performance require increasingly complex design processes and tools. Simulating the unsteady non-linear aerodynamic interaction between a maneuvering aircraft and the surrounding flowfield poses serious challenges. High-Fidelity Computational Fluid Dynamics (CFD) methods, based on the numerical solution of the Navier...
master thesis 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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Noori, S. (author)
Emerging economies produce 70-90% of the world’s steel, cement, and chemicals, which are essential for development. However, performance indicators such as carbon intensity and energy use per GDP reveal that industrial development trends in emerging economies are not sustainable. The ideal of industrial development that sustains and improves...
doctoral thesis 2022
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Provó Kluit, Mark (author)
Large­scale machine learning frameworks can accelerate training of a neural network by per­ forming distributed training on a cluster using multiple GPUs per node and multiple nodes. Because distributed training on a cluster involves many nodes which need to communicate and load and exchange data, a machine learning framework may at certain...
master thesis 2022
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van der Meer, Ralph (author)
Over the past decades, car ownership in the Netherlands has been on an increase. Besides being an environmental burden, passenger cars also require a lot of space. Mitigating the impact of passenger cars on climate change and public space requires a shift to a more sustainable view of transport, in which neighborhood mobility hubs might play a...
master thesis 2022
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Siderius, Joost (author)
This study researched the optimal network of hydrogen refueling stations. The network is designed on a European scale and with a focus on heavy duty trucks. The design is created by means of a two-step optimization. The first step clusters truck representing datapoints into a predetermined number of stations by means of k-means clustering. The...
master thesis 2022
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Griffioen, Noah (author)
The CONE-LCA framework is a promising framework that can be used to assess the impact of food items on human health and the environment. However, the nutrition-health assessment in the CONE-LCA framework quantifies the health impacts of food at the level of food items with the use of an indicator that is based on only few nutrients and otherwise...
master thesis 2022
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Liu, Darwin (author)
The Bullet Cluster is a galaxy cluster, which is often used as evidence for dark matter [10]. In this thesis, Modified Newtonian Dynamics (MOND) is studied for various interpolation functions on a model of the Bullet<br/>Cluster. MOND is a theory proposed by Milgrom which modifies the Newtonian gravity law, such that it explains the flat...
bachelor thesis 2022
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Hajer, Wouter (author)
Over the past century various different discrepancies in the expected and observed behaviour of galaxies and galaxy clusters were found. Together this is called the missing mass problem and the most well known theory trying to explain these differences states that there is additional undetectable mass in the form of dark matter. Modified...
bachelor 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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Hoogervorst, Chris (author)
This thesis analyses the importance and application of considering multiple coexisting wave trains in sediment transport predictions.<br/><br/>The wave trains at offshore and nearshore locations are analyzed by wave spectral partitions (Portilla at el., 2009). The temporal variability of consistently occurring wave trains can be analyzed through...
master thesis 2022
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Botha, Christiaan (author)
Clustering forms a major part of showing different relations between data points. Real-time clustering algorithms can visualise relationships between elements in a 3D environment, provide an analysis of data that is separate from the underlying structure and show how the data changes over time. <br/>This paper analyses whether conventional...
bachelor thesis 2022
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