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Hemmes, Tom (author)There is a paradigm shift from two- to three-dimensional data, from maps to information dense models. Self-driving cars, digitization of historic buildings or maintenance of highway infrastructure are a small selection of many applications that use laser scanning to acquire three-dimensional data of our physical surroundings. Most of these...master thesis 2018
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- Tijink, Jan (author) master thesis 2018
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Mittal, Rishabh (author)With the increasing popularity of active modes (mainly pedestrians and bicycles), the spaces shared amongst these modes are also rising. Such spaces are often referred to as shared spaces and can often be seen in public areas near train stations, shopping streets and educational institutions. Such spaces are said to enhance safety and resolve...master thesis 2020
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Sfakianou, Areti (author)Psychiatric disorders are associated with major societal, personal issues and comprise 13% of the global burden of disease. They are heritable and present a complex pathophysiology, characterized by hundreds of genetic variants which are cumulated together and provoke a specific psychiatric disorder. Although a considerable progress has been...master thesis 2019
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van der Meer, Remco (author)Recent works have shown that neural networks can be employed to solve partial differential equations, bringing rise to the framework of physics informed neural networks.The aim of this project is to gain a deeper understanding of these novel methods, and to use these insights to further improve them. We show that solving a partial differential...master thesis 2019
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Stoel, Fianne (author)District heating systems (DHSs) have the potential to play a big part in the energy transition. The efficient operation of DHSs is therefore also an important subject of study. The operation of DHSs where combined heat and power (CHP) plants are used are particularly interesting, because CHPs can operate with high efficiency.<br/><br/>In this...master thesis 2022
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Graur, Dan (author)Given the increasing popularity of Machine Learning, and the ever increasing need to solve larger and more complex learning challenges, it is unsurprising that numerous distributed learning strategies have been brought forward in recent years, along with many large scale Machine Learning frameworks. It is however unclear how well these...master thesis 2019
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van Rhijn, J. (author)Generative adversarial networks (GANs) have shown promising results when applied on partial differential equations and financial time series generation. This thesis investigates if GANs can be used to provide a strong approximation to the solution of stochastic differential equations (SDEs) of the Ito type. Standard GANs are only able to...master thesis 2020
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Ruland, Oscar (author)Recent trends in aviation highlight the ever-increasing need for fuel economy and sustainability. Active morphing technology can offer significant benefits over conventional wing designs. Inspired by nature, smart morphing technologies enable the aircraft of tomorrow to sense their environment and adapt the shape of their wings in-flight to...master thesis 2021
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Angga Irawan, Angga (author)Controller synthesis techniques based on symbolic models or discrete abstractions are becoming increasingly attractive as they allow for synthesizing correct-by-design controllers of general nonlinear systems under complex behavioral requirements. However, its immense size as the consequence of the state-space explosion prohibits the approach to...master thesis 2018
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Versteeg, Rogier (author)Traditional analysis of human manual control behaviour is currently constrained by the linear time-invariant assumption of the state-of-the-art “cybernetic” approach. This implies that time-varying and nonlinear aspects of human behaviour are generally overlooked, while these could be critical characteristic factors in, for example, the...master thesis 2019
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Sun, Wei (author)This work applies keypoint detection method to solve gate recognition problem. Unlike regular object detection task, gate recognition problem is made difficult by the fact that gate is empty wireframe which means that the object surrounded by gate-edge is not relevant and should not be taken into consideration when detecting. However, regular...master thesis 2019
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Maes, Vincent (author)The aerodynamic model of a combat aircraft is essential for its success and competitiveness compared to other combat aircraft. This thesis aims to research the most optimal machine learning model to create an aerodynamic model of a combat aircraft. The very large but still sparse, highly nonlinear dataset forms a challenge for using specific...master thesis 2023
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van Bokkem, Dirk (author)The increasing global food demand, accompanied by the decreasing number of expert growers, brings the need for more sustainable and efficient solutions in horticulture. Consultancy company Delphy aims to face this challenge by taking a more data-driven approach, by means of autonomous growing inside the greenhouse. The controlled environment of...master thesis 2022
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Agarwal, Tushar (author)An investigation into energy optimization techniques for buildings was initiated that led to the development of a Toolbox with several functions for analysis, optimization and prediction techniques for thermal energy demand of a school building. The HHS, or The Hague University of Applied Sciences in Delft, was the most sustainable building for...master thesis 2017
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Márquez Bonilla, Fran (author)Autonomous navigation has become, in the last years, one of the main field of research for both transportation and robotic purposes, employing all kind of terrain, maritime and aerial vehicles. An example of its growing importance is the recent development of autonomous driving solutions that is been carried out by most of the world leader car...master thesis 2018
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van der Arend, Dennis (author)Traditionally a wind turbine’s power curve is used to model the long-term energy yield of the wind turbine and afterwards assess the performance of the turbine (power curve verification). But the current power curve is typically univariate: only dependent on the wind speed and slightly adjusted for site density, turbulence intensity and wind...master thesis 2018
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Jonnalagadda, Aravind (author)Natural Language Processing (NLP) deals with understanding and processing human text by any computer software. There are several network architectures in the fields of deep learning and artificial intelligence that are used for NLP. Deep learning techniques like recurrent neural networks and feed-forward neural networks are used to develop...master thesis 2022
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Kersbergen, Daniël (author)In the second half of the 20th and beginning of the 21st century the amount of natural disasters has increased rapidly. Due to this rise in occurrences, more people are affected. An important indicator for people affected is the amount of damage to buildings. To gather this information aid workers now have to go into the field to gather data on...master thesis 2018
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Naruta, Anton (author)This paper describes an implementation of a reinforcement learning-based framework applied to the control of a multi-copter rotorcraft. The controller is based on continuous state and action Q-learning. The policy is stored using a radial basis function neural network. Distance-based neuron activation is used to optimize the generalization...master thesis 2017