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Heijdra, Amber (author)
Hypertrophic cardiomyopathy (HCM) is known as a frequent, genetic cardiovascular disease, often caused by mutations of sarcomere protein genes. HCM is primarily characterized by the presence of an increased left ventricular wall thickness, i.e. left ventricular hypertrophy (LVH). However, the disease appears to be asymptomatic in some patients,...
master thesis 2022
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Roy, Ellie (author)
Data on the number of floors is required for a variety of applications, ranging from energy demand estimation to flood response plans. Despite this, open data on the number of floors is currently not available at a nationwide level in the Netherlands. This means that it must be inferred from other available data. Automatic methods usually...
master thesis 2022
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Geleijnse, Jan (author)
The United Nations (UN) Sustainable Development Goal (SDG) \#6 reads that by 2030 universal and equitable access to safe and affordable drinking water is achieved for all In order to achieve this goal, proper and complete monitoring, capturing all the facets of safe water access, is essential. In this thesis it is argued that the current...
master thesis 2022
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SHI, XIAONING (author)
With the development of machine learning techniques, more and more classification models have been designed for seizure detection. The creation of these models has dramatically improved the convenience of epilepsy detection and made seizure labeling automation possible. However, many of the current researches in this field use EEG datasets with...
master thesis 2022
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Verma, Ayush (author)
With growing wind energy capacity, especially offshore, reliability of wind turbines (WT) becomes a relevant concern. Poor reliability directly affects their cost effectiveness due to increased operation and maintenance ...
master thesis 2021
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Revelo Obando, Eddy Darío (author)
The analysis of microseismic measurements acquired during borehole acquisition surveys is essential for a thorough understanding of the source mechanisms in hydraulic fracturing operations. Due to the injection of high-pressure fluids, induced fractures can produce seismic events of low magnitude that can be recorded and subsequently analyzed to...
master thesis 2021
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Kiszkurno, Kuba (author)
Landslides pose a risks to the communities settled in their vicinity. They pose a threat to human lives and significant economical damage to the affected communities. As the scientific community agrees that the climate change will further increase the risks associated with landslides, it is important to develop a reliable, cost effective and...
master thesis 2021
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de Jong, Berend (author)
Background and aims<br/>The timing of extubation is a difficult decision for the medical team on the PICU. With negative impact on patient outcome when extubating too late or too early. The aim of this study was to create machine learning models for extubation failure prediction after surgery in patients with congenital heart disease. The goal...
master thesis 2021
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Ochalhi, Redouan (author)
In this research, different models are used to construct volatility surfaces and these models are compared with each other in terms of accuracy. The models range from the SSVI to neural networks. Specifically, we look at the SSVI, the feedforward neural network and the gated neural network. Attention is also paid to the incorporation of...
master thesis 2021
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van Hal, Sybren (author)
Introduction Intracranial hypertension (IH) is a harbinger of secondary brain injury in patients suffering from traumatic brain injury (TBI), can be mitigated at the Intensive Care Unit (ICU) and is associated with a poor prognosis. Current clinical practice consists of treating IH once it has occurred, by medical or surgical interventions. This...
master thesis 2021
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van Veelen, Frank (author)
In the past years, small Earth Observation (EO) satellites have become increasingly capable of taking high-resolution images at high sample rates. These images contain valuable information for different sectors, such as the agricultural and military sector. Furthermore they can contain important information about the climate and climate change....
master thesis 2021
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van der Meijden, Siri (author)
Intensive Care Unit (ICU) readmission is a serious adverse event associated with high mortality rates and costs. Prediction of ICU readmission could support physicians in their decision to discharge patients from the ICU to lower care wards. Due to increasing ICU data availability, Artificial Intelligence (AI) models in the form of machine...
master thesis 2021
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PAPALEXIOU, ANNIE (author)
Although monitoring and maintenance of railways is important to ensure safety and avoid delays and financial losses, it is still mainly based on human inspection. The complexity of a railway along with the large area it extends makes manual monitoring difficult and time-consuming. The increasing availability of 3D acquisition technologies has...
master thesis 2021
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Wirianto, Erik (author)
Neonatal sepsis is a dangerous non-specific disease in babies, especially neonate/newborns. It is one of the leading causes of neonate mortality rate, because of the difficulty to diagnose, leading to late or false treatment. Previous research has found the promising feature of artificial intelligence or machine learning in solving the problem....
master thesis 2021
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Brederveld, Jan (author)
Various machine learning algorithms have been applied to find optimal lowthrust<br/>satellite trajectories, however, no fair comparison of their accuracy has been made yet. In this paper, two common and promising supervised machine learning algorithms are compared for their regression capacities:<br/>the artificial neural network and the...
master thesis 2021
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Lingmont, Hidde (author)
The advent of machine learning and the availability of big data brought a novel approach for researchers to discover fundamental laws of motion. Computers allow to quickly find underlying physical laws from experimental data, without having in-depth knowledge of the system. Applications are widespread among numerous fields such as physics,...
master thesis 2020
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Prasing, Sean (author)
The structural properties of a composite laminate can be tailored by allowing the fibres to vary their orientation within the individual plies. This class of composites is termed variable stiffness and they are able to enhance the structural performance over traditional laminates by redistributing the internal load of the structure. Therefore,...
master thesis 2020
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Mulders, Maurits (author)
A side-channel attack is performed by analyzing unwanted physical leakage to achieve a more effective attack on the cryptographic key. An attacker performs a profiled attack when he has a physical and identical copy of the target device, meaning the attacker is in full control of the target device. Therefore, these profiled attacks are known as...
master thesis 2020
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Metz, Jesse (author)
Modern material systems with properly designed microstructures offer new avenues for engineering materials with advantageous mechanical properties and functionalities in various applications. With the increasing desire to design structures that have complex shapes or that are simply cheaper and more efficient, the demand for complex numerical...
master thesis 2020
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Heijne, Yannick (author)
Past research has successfully increased the accuracy and quality of horizontal wind speed measurements made by cup anemometers. Errors are introduced in a variety of ways: when operational conditions deviate from calibration, due to flow distortion and as a result of the mechanical properties of an instrument changing during its lifetime....
master thesis 2020
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