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Schleipfenbauer, Bent (author)
The Dutch public procurement market is a multi-billion industry, with a total value of 73 billion euros per year. Competitive tendering is the most popular method of selecting a supplier for the required construction services. The realisation of a tender bid is an expensive and complex process, established on the intersection of various...
master thesis 2022
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Hoogland, Pavel (author)
In the use of Machine Learning systems, attaining the trust of those that are the end-users can often be difficult. Many of the current state-of-the-art systems operate as Black-Boxes. Errors produced by these Black-Box systems, without further explanation as to why these decisions were made, will deteriorate trust. This effect is especially...
master thesis 2022
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RUIZ ALBA, MAITE (author)
<b>Background and purpose</b>: One of the main challenges in external beam radiotherapy treatment of locally advanced cervical cancer patients is dealing with bladder and rectum filling. Organ filling causes inter­fraction motion of the uterus, requiring large treatment planning volumes, or a plan library. Current assessment of tumor position is...
master thesis 2022
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Somai, Ashay (author)
This thesis looks at how to characterize weaknesses in machine learning models that are used for detecting privacy-sensitive data in images with the help of crowdsourcing. Before we can come up with a method to achieve a goal, we first need to make clear what we consider privacy-sensitive data. We took the General Data Protection Regulation ...
master thesis 2021
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Kordes, Arthur (author)
Atrial Fibrillation affects millions of people worldwide. It is associated with an impaired quality of life and an increased risk of stroke, cardiac failure and mortality. Treatments exist, but early detection and treatment is crucial, due to the progressive nature of the disease. Algorithms can help with early detection. Machine learning...
master thesis 2021
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Marcelis, N.H.H. (author)
With the performance of current motion planning methods being highly dependent on the quality of the perception system, robust 3D multi-object detection and tracking are vital for autonomous driving applications. Despite all the advancements in 2D and 3D object detectors, robust tracking of pedestrians in dense scenarios is still a challenging...
master thesis 2021
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Graafmans, Roy (author)
Virtual private networks are often used to secure communication between two hosts and preserve privacy by tunneling all traffic over a single encrypted channel. Previous work has already shown that metadata of different secured channels can be used to fingerprint various kinds of information. In this work, we will dive into the encrypted tunnels...
master thesis 2021
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Touloumidis, Dimos (author)
Agriculture is an important source of income for many countries in the Global South, where it may account for as much as 25% of GDP. Precipitation is crucial for agriculture in countries like Ghana, where ~95% of farming is rainfed. Accurate rainfall observations are limited in Ghana. The sparse rain gauge network and the lack of weather radars...
master thesis 2021
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Poot, Matthijs (author)
master thesis 2021
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Casolo, Cecilia (author)
As Machine Learning models are being applied to a wide range of fields, the potential impact that these algorithms can have on people's lives is increasing. In a growing number of applications, such as criminal justice, financial assessments, job and college applications, the data points are indeed people's profiles. Therefore, in the presence...
master thesis 2021
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Lopez Bosque, Irene (author)
Interactive imitation learning refers to learning methods where a human teacher interacts with an agent during the learning process providing feedback to improve its behaviour. This type of learning may be preferable with respect to reinforcement learning techniques when dealing with real-world problems. This fact is especially true in the case...
master thesis 2021
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Gobardhan, Rommy (author)
The study of epidemic spreading processes on contact based complex networks has gained a lot of traction in recent years. These processes can entail a variety of problems such as disease spreading, opinion spreading in social networks or even airport congestion in airline networks. One of the key tasks in this area of research and also of this...
master thesis 2021
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Baas, Berend (author)
Existing work in shape editing applications using deep learning has primarily focused on shape interpolation.<br/>We propose a pair of techniques that utilize the latent space of deformation networks to provide control schemes for semantic shape editing applications.<br/><br/>The first technique presented utilizes linear directions as...
master thesis 2021
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Hadžisejdić, Boris (author)
This thesis describes the design and development of a conversational assistant (CA) for standardized issue descriptions in manufacturing. The CA was specifically targeted at the acquisition of data on standardized issue descriptions and at the same time reduce operator friction with the system. CAs can be used to handle and process repetitive...
master thesis 2021
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Busa, Barnabás (author)
This thesis evaluates standard statistical and machine learning models for early fault detection for Valve Regulated Lead-Acid (VRLA) batteries in uninterruptible power supply (UPS) units. Unexpected battery failures in emergency support systems throughout CERN can endanger working personnel. Thus the minimization of downtime of such battery...
master thesis 2021
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Heinsohn Huala, Tomas (author)
Data-centric research is all about trying to obtain useful insights on products that its researchers trying to create/design by collecting usage data on their prototypes. This type of research, usually performed by data-scientist, make use of machine learning techniques in order to improve any system or product that makes use of automated...
master thesis 2021
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MARIK, ARNAB (author)
One of the challenges in executing an MDO system is the selection of the best performing MDO architecture in terms of computational effort for a given MDO problem. To address this, several comparative studies have been created, which analyze the relative performance of MDO architectures with respect to internal features of MDO problems, such as...
master thesis 2021
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De Vocht, Roel (author)
An important step in determining the performance of a commercial ship is to determine the vessel fuel consumption in offdesign conditions. In previous studies, the vessel fuel consumption is obtained using machine learning algorithms which use navigational data and meteorological data to train the models. Due to the inaccuracy of the weather...
master thesis 2021
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Emanuel Febrianto Prakoso, Emanuel (author)
This study addresses the truck rescheduling problem as the consequence of uncertain arrival time. It proposes an integrated system of predictive model powered by machine learning algorithm and exact optimization model such that it is distinct from most existing literatures in this domain. The uncertainty of truck arrival time is captured as...
master thesis 2021
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van der Laan, Paul (author)
The rising number of students challenges the teacher’s time-consuming task to provide consistent and high-quality feedback for all students. To address the traditional education’s challenges, researchers refer to online educational tools to assist teachers. Although large writing tools (for instance, Grammarly and Microsoft Editor) assist...
master thesis 2021
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