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Sitaram, Arnish (author)Unsteady numerical simulation has been proven to be an essential tool for research. The quality of the results can be improved by using mesh adaptation. Mesh adaptation uses error indicators to refine the mesh in regions with high errors. The error indicators used are output errors with the most accurate output error estimation method being...master thesis 2023
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Zomerdijk, Koen (author)This thesis concerns modeling residential real estate selling prices in a hedonic price model framework on a small spatial-temporal granularity. The research addresses the challenge of sparse spatial-temporal real estate data, i.e. many combinations of location and time with few or no transactions, by employing spatial dynamic factor models ...master thesis 2023
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Middelweerd, Marloes (author)In the Netherlands, online groceries are becoming increasingly popular, as are the challenges grocery companies face in meeting customers' rising demand for smaller and cheaper time slots while maintaining thin profit margins due to a highly competitive market. Customer choice modelling will be used to identify customers' behaviour and control...master thesis 2023
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Blom, Joris (author)Fog plays a major role in chain collisions. Proper fog detection is essential for the Dutch road authority to anticipate foggy weather conditions. Dozens of stations in the Netherlands can measure fog. However, fog can be a very local phenomenon. Therefore, more local measurements are needed. There are about 5,000 traffic cameras in...master thesis 2023
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Kaniewski, Tadeusz (author)The computational cost of high-fidelity engineering simulations, for example CFD, is prohibitive if the application requires frequent design iterations or even fully fledged optimization. A popular way to reduce the computational cost and enable fast iteration cycles is to use surrogate models that are trained to predict simulation results from...master thesis 2023
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Wang, Heqi (author)Accurate and trustworthy short-term traffic prediction is crucial in the modern world for the comfort of drivers and decision-makers as it is used to improve the performance of traffic management systems, lessen congestion, increase safety, and shorten journey times. It is possible to discover useful information for network transportation...master thesis 2023
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Heijlema, Cor-Jan (author)Even though the use case of this study was to predict water currents for the sailing regatta in Tokyo, the method can be used for many different applications.master thesis 2023
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Restrepo Botero, Miguel (author)Understanding the fatigue load history of wind turbines is critical for taking decisions regarding the lifetime of a project. However, direct measurement of fatigue loads at each turbine in a wind farm is unfeasible. For this reason, surrogate models offer a useful alternative. In this thesis, a methodology for creating surrogate models for...master thesis 2022
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Dankers, Kevin (author)Batteries are an essential tool for energy transition. They provide the ability to reduce imbalances by absorbing the forecast errors for consumers and renewable energy sources. This has the added benefit that congestions occurring due to supply and demand mismatches would be prevented. Furthermore, they allow generating a stable power...master thesis 2022
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van Beers, Jasper (author)As research endeavours and commercial applications demand more of the quadrotor, it is only natural to develop models which can facilitate this. Currently, analytical descriptions of the quadrotor are rudimentary and most data-driven quadrotor models are identified from flight data collected indoors. Therefore, existing quadrotor models are...master thesis 2021
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Bourier, Sébastien (author)Evaluation of aircraft performance for design, certification, and maintenance purposes requires aerodynamic knowledge for the entire flight envelope of an aircraft. Simplified models that relate geometric properties and flight conditions of an aircraft to its aerodynamic properties are simply not sufficient anymore, as non-linear aerodynamic...master thesis 2021
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Suryanarayanan, Surya Narayanan (author)Inverse design with topology optimization has followed the same computational<br/>graph for decades. The unknown material density is distributed within a domain,<br/>a computational analysis predicts the response of that design and its derivative<br/>with respect to the unknown, and this information is used by a chosen gradientÂ<br/>based...master thesis 2021
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Kotian, Varun (author)Increased susceptibility to motion sickness, due to the transition away from driving, will be one of the major hurdles in the widespread use of automated vehicles. Sustained exposure to motion sickness can lead to the disuse of automated vehicle technology among users. Thus, there is a need to mitigate motion sickness. To do so, a robust model...master thesis 2021
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Vimal Kumar, Uma Maheshwari (author)FINN is a framework developed by Xilinx Research Labs that compiles Deep Neural Network software descriptions into fast and scalable dataflow architectures for inference acceleration on FPGAs. The dataflow<br/>architectures are network dependent, sized according to the user-defined throughput requirements, and constrained by available resources...master thesis 2021
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Lange, Berend-Jan (author)Artificial neural networks are the key driver of progress in various semantic computer vision tasks such as age prediction and digit classification. For the successful application of neural network algorithms, the representation of the data is an important factor. A good representation can significantly simplify a regression or prediction task....master thesis 2021
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Verwijs, Roos (author)As a result of the gas extraction in Groningen (the Netherlands) the amount of earthquakes have increased over the past decades. Understanding the induced seismicity in the Zeerijp area is important for the population living in this relatively densely populated region, but also essential to the Dutch governement and the operator of the field;...master thesis 2021
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Veselka, David (author)Implantable Medical Devices (IMDs) are deployed in patients to treat a range of medical conditions. Technological advancements have enabled manufacturers to fit IMDs with specialized hardware that accelerates compute-intensive medical therapies next to a software-run host processor. However, mostly hardware acceleration is found in the form of...master thesis 2021
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Zografou, Artemis (author)Computation-In-Memory (CIM) employing Resistive-RAM<br/>(RRAM)-based crossbar arrays is a promising solution to implement Neural Networks (NNs) on hardware, such that they are efficient with respect to consumption of energy, memory, computational resources, and computation time. In this respect, Binary NNs (BNNs), where the weights obtain single...master thesis 2021
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Kashichenula, Keshav (author)Finite Element Analysis is an application used in many engineering fields, including geotechnical engineering. With increasing complexities of structures and material behavior, classical approach for non-linear finite element analysis has become computationally expensive (Gulikers, 2018). In order to improve the efficiency and accuracy of the...master thesis 2021
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Vroon, Erik (author)Drones need to be able to detect and localize each other if they are to collaborate in multi-robot teams or swarms. Typically, computer vision methods based on visual appearance are investigated to this end. In contrast, in this work, a method based on dense optical flow (OF) is developed that detects dynamic objects. This is achieved by...master thesis 2021