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Swart, Mik (author)
Climate change is a pressing issue. Hydrogen aircraft are an excellent alternative to current kerosene aircraft, and appear to be the most viable long-term solution for net-zero flight. One of the main challenges for hydrogen aircraft is to sustain a low boil-off rate. This research explores the solution of active cooling of the LH2 mixture in...
master thesis 2024
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Edelman, Jory (author)
Magnetic resonance electrical properties tomography is a type of quantitative magnetic resonance imaging that aims to reconstruct the conductivity and permittivity of biological tissue. These electrical properties of the tissue can be used to compute the specific absorption rate, to differentiate tumours from healthy tissue and for hyperthermia...
master thesis 2023
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Narpala, Saketh (author)
This study addresses the critical need for specialized risk identification practices in green retrofit projects within the construction industry, particularly under the increasing pressure to meet the EU's net-zero emissions target by 2050. Focusing on the Netherlands, it investigates how companies navigate the unique challenges posed by...
master thesis 2023
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Maiorano, Luigi (author)
While image-based georeferencing systems are widely available, none are designed for edge computing on board small satellites in space. Recent advances in autonomous data processing allow points of interest (POIs) to be identified in the captured images, enabling prioritization of data and reducing required downlink bandwidths. Directly...
master thesis 2023
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Cuadrat-Grzybowski, Michal (author)
Mitigation strategies which eliminate existing space debris, such as with Active Space Debris Removal (ASDR) missions, are now more important than ever regarding the ever-growing space debris population problem. One of the considered ASDR approaches uses a net as a capturing strategy. The benefits of such strategy are to allow for a large...
master thesis 2023
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Ramanna, Austin (author)
This thesis aims to automatically and reliably detect large-scale structures in turbulent flows. To achieve this, a U-net (a type of neural network) is trained using artificially generated data. From the network output, continuous structures are derived and general statistics, including, volume fraction, relative kinetic energy and length scales...
master thesis 2023
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Panagiotidou, Ioanna (author)
This thesis introduces a Learned-Based Multi-View Semantic Stereo method, addressing the limitations of traditional and learned-based Multi-View Stereo (MVS) techniques in reconstructing reflective and low-textured regions, particularly prevalent in 3D models of buildings. Traditional methods lack completeness, while learned-based methods...
master thesis 2023
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van Paassen, Jeroen (author)
Situation<br/>The constant increase in global temperatures is becoming more and more concerning for the future of our planet. The health of the planet is crucial for our existence and for the health of humanity, which is why we need to maintain and care for our environment. The pharmaceutical sector contributes to a lot of greenhouse gas...
master thesis 2023
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de Vries, Chiel (author)
Alzheimer's disease (AD) is becoming more prevalent as the world population gets older. The formation of Amyloid-beta (\AB) plaques is one of the pathologies related to AD. Recent work has shown that the \ab load in brain tissue has a negative correlation with cognitive performance in cognitively healthy centenarians. <br/>This work aims to...
master thesis 2023
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Steensma, Tijmen (author)
The Green Deal (Fetting, 2020), initiated by the European Commission, aims to reduce greenhouse gas emissions within the EU to limit global warming to 1.5 degrees Celsius compared to pre-industrial levels (International Panel of Climate Change, 2022). The EU focuses on energy that is acceptable, applicable, available, and affordable – referring...
master thesis 2023
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Nelson, Ben (author)
The world needs reliable, sustainable, and longer duration energy storage solutions as the share of intermittent renewable energy increases in energy systems. Carnot batteries are a promising, emerging technological class of energy storage that store electricity in the form of thermal exergy. They can be made from abundant materials and existing...
master thesis 2023
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Dong, Haoyang (author)
Digital Surface Models (DSMs) are commonly employed to investigate topographical characteristics and processes; however, the presence of canopy and infrastructure in urban and forested areas can lead to height biases and inaccuracies. In this study, I aim to correct such biases by applying a deep learning approach known as Residual U-Net to...
master thesis 2023
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Bedeaux, Daphne (author)
To prevent global warming, CO2 emissions must be reduced by 95%. The <br/>building and construction industries account for over 15% of all direct CO2<br/>emissions. However, currently there are no regulations for carbon net-zero <br/>developments. Investors adhere to current sustainability requirements because<br/>there are many barriers develop...
master thesis 2023
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Teunissen, Rowin (author)
Purpose:<br/>Given the urgent need to decarbonize the building and construction industry to prevent a catastrophic climate breakdown. The United Nations has called for action from industry leaders to drastically decrease their carbon footprint, and bring it to zero by 2050 at the latest. Efforts to decrease operational carbon emissions...
master thesis 2023
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Therias, Adele (author)
The production of cocoa beans contributes to 7.5% of European Union (EU) driven deforestation. For this reason, the recent European Union Deforestation-free Regulation (EUDR) requires producers to perform comprehensive tracking of cocoa farm extents. However, cocoa crops present unique detection challenges due to their complex canopy structure,...
master thesis 2023
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van Asselt, Koen (author)
To reduce computational efforts, surrogate models have been developed for dune erosion prediction. Current surrogate models can describe the relationship between the XBeach input and output (Athanasiou, 2022) and provides a prediction of a morphological indicator based on a parameterized input (profile shape parameters and hydrodynamics). In...
master thesis 2023
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Bil, Darcey (author), Zehntner, Johanna (author), Basha, Rexhina (author), Bremer, Serah (author)
North-western European countries play an important role in the global food system, by providing 80 percent of the whole European production. The current production system is focused on profit, has a yearly emission of 1250 megatons of CO₂ equivalent in North-western Europe and produces pollutants in the soil, water, and air. This results in an...
student report 2023
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van Oosterhoudt, Ruben (author)
Introduction: Magnetic Resonance Imaging is a commonly used technique for the initial diagnosis of gliomas. T1, T2, T2-FLAIR, and post-contrast T1 with gadolinium-based contrast agents (GBCAs) can show tumor characteristics. However, using this contrast agent poses a risk to patients with kidney failures, has environmental impact, and increases...
master thesis 2023
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Lubbers, Rob (author)
The aim of this paper is to find out which Machine Learning (ML) model predicts the concentration of Chlorophyll-a, in the Palmar lake in Uruguay best. Currently there are no such models to predict the growth in this lake. The algorithms which will be compared in this paper are a Linear Regression model and the U-Net model. We will compare the...
bachelor thesis 2023
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Pena Pereira, Simon (author)
Transforming the global energy sector from fossil-fuel based to renewable energy sources is key to limiting global warming and efficiently achieving climate neutrality. The decentralized nature of the renewable energy system allows private households to install photovoltaic (PV) systems on their rooftops. In this context, planning an efficient...
master thesis 2023
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