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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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Lánský, Imke (author)
In recent years, the demand for 3D spatial information and 3D city models has increased, as they support and allow many different applications, e.g. noise simulations, energy demand estimations, and shadow analysis. Constructing a city model with 3D buildings requires elevation data (such as LiDAR or Digital Terrain Models), but unfortunately,...
master thesis 2020
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Joosse, Corniël (author)
Absence seizures have a real-life impact on epileptic subjects, as day-to-day tasks can by suddenly interrupted making for dangerous situations. Though a lot of work has been done on seizure detection, to limit the impact on epileptic patients, the true necessity lies in timely prediction of seizures before they manifest. Various attempts have...
master thesis 2020
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Ruijs, Ewout (author)
The increased implementation of digitalisation all over the world has led to an exponential growth of available data across various industries. Consequently, there is a large growth of Machine Learning (ML) techniques being applied to process data. Predictive maintenance is a digital strategy using condition-based monitoring techniques to track...
master thesis 2020
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Jasperse, Faye (author)
Service reliability is one of the most important performance measures to public transport users. Detecting disruptions helps to measure service reliability, which can be used by public transport operators to improve this reliability. In this thesis, a methodology is described to automatically detect disruptions offline, using smart card data....
master thesis 2020
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Michielsen, Lieke (author)
Since the revolution of single-cell RNA-sequencing, the number of available datasets has increased enormously. In these datasets, cell identification is mainly done manually, which is subjective and time-consuming. As a consequence, most datasets are annotated at a different resolution. This is not surprising as cell types form a hierarchy, but...
master thesis 2020
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Sakyi-Gyinae, Master (author)
With the increasing trend in air traffic demand and evidence of large deviations from filed flight plans, airspace capacity is not being optimally utilized. In order to improve air traffic flow and capacity management systems, so that air traffic control operators can handle more aircraft safely, air traffic predictability needs to be improved....
master thesis 2019
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Dong, Jiaao (author)
In order to achieve redundancy and improve the robustness of an autonomous driving system, radar is a suitable choice for road user detection task in severe working conditions (e.g. darkness, bad weather). However, the real-time multi-class radar based road user detection algorithm is less explored compared with camera and LiDAR solutions. To...
master thesis 2019
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Yoon, Ahhyun (author)
Demand for machine learning is ever-growing in today’s business. Situated at the convergence point of big data and Artificial Intelligence (AI), machine learning allows companies not only to unlock hidden insights from the data deluge but also to fundamentally revolutionize their products and services. Recognizing the opportunities, industrial...
master thesis 2019
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Lee, Jaehyeun (author)
Fatigue is often a governing design factor for offshore wind turbines. Since the design of offshore wind turbines includes conservatism, the actual accumulated fatigue damage can be lower than what the turbine is designed for. In this case, the operator can make a decision on life time extension of existing wind turbines. Therefore, it is...
master thesis 2019
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Rietveld, Jip (author), de Vries, Rolf (author), de Boer, Jaap (author), Hondelink, Dieuwer (author)
Amsterdam Airport Schiphol has 5 runways, each of which can be used for take-off or landing of aeroplanes. The weather heavily influences which runway configuration air traffic control might pick. Airport Forecasting Service (AFOS) predicts which configuration of runways works most efficiently given a set of expected weather conditions and the...
bachelor thesis 2019
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