Searched for: contributor%3A%22Brinkman%2C+W.P.+%28graduation+committee%29%22
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Braam, Ayrton (author)
De Kindertelefoon is a children's helpline aimed at providing (pre-)adolescents with a person to talk to for a variety of subjects such as bullying, sex, and abuse. These people who talk for De Kindertelefoon need proper training and guidance. Among the tools that De Kindertelefoon provides is the 5-phase model, a conversational model....
master thesis 2023
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Lin, Longfei (author)
Software testing, a critical phase in the software development lifecycle, is often hindered by the time-intensive and costly manual creation of test cases. While automating test case generation could mitigate these challenges, its adoption in the industry has been limited due to difficulties in comprehending the generated test cases. To address...
master thesis 2023
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Ren, Hao (author)
The phenomenon of one element moving and progressively overlaying another is common in nature, such as waves swashing and backwashing, or eyelids moving over eyeballs while blinking. Folding Texture, which was proposed by Thorben, can simulate this texture “folding” visual effect in real-time without changing geometry.<br/>However, to date, no...
master thesis 2023
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Bangar, Yugdeep (author)
Self-tracking has expanded exponentially in an era defined by the ubiquitous presence of wearable technologies and smart devices. From health and fitness to finances and productivity, these devices empower users to delve into their quantified self (QS) through an almost infinite amount of visualizations. However, a user has limited time to...
master thesis 2023
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van Smaalen, Mees (author)
Reading is an essential skill for any child to learn, and finding enjoyment in it can greatly contribute to developing proper reading comprehension. Finding the books they like could prove to be difficult. Utilizing collaborative filtering recommender systems to recommend books to children is a tricky task, the lack of user feedback makes it...
bachelor thesis 2023
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Qiu, Ziang (author)
Recently, a few children-centered recommendation systems have been created and evaluated. How- ever, these systems required user interaction to cre- ate ground truth to evaluate the result. This research aims to compare some of the traditional recommen- dation models and explore which trait could impact the recommendation process most for...
bachelor thesis 2023
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Edixhoven, Tom (author)
In this work we show how Group Equivariant Convolutional Neural Networks use subsampling to learn to break equivariance to their symmetries. We focus on the 2D roto-translation group and investigate the impact of broken equivariance on network performance. We show that changing the input dimension of a network by as little as a single pixel can...
master thesis 2023
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Kronstadt, Lufther (author)
In our digital society, having computer science skills is becoming imperative, yet there is a shortage of computer science professionals and teachers. This shortage is linked to the perception people have of computer science and computer science professionals. This research paper answers two questions through a mixed-method study: to what extent...
master thesis 2022
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Degachi, Chadha (author)
Increased levels of user control and feedback incorporation in learning systems is commonly cited as good AI development practice. However, the evidence as to the exact effect of perceived control over trust in these systems is mixed. This study investigates the relationship between different dimensions of trust and perceived control in...
master thesis 2022
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Georgiev, Gancho (author)
Earthquakes are one of the most destructive natural phenomena, both in terms of human lives, and property damage. Although they are treated as a random phenomenon, the ability to predict them, even few seconds before they occur, could be of great benefit to society. Lots of research has been done on this topic but without any significant results...
bachelor thesis 2022
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Krisiukėnas, Pijus (author)
Due to the devastating consequences of earthquakes, predicting their occurrence before the first strike has been a long standing research topic. Deep learning models have been used to facilitate prediction, using seismograph data to attempt to classify an earthquake right before it happens. However, this is a difficult task and research needs to...
bachelor thesis 2022
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Zhu, Kevin (author)
Earthquake prediction is the field of seismology concerned with predicting the time, location, and magnitude of earthquakes within a small time frame, usually defined in terms of minutes or seconds before an event. Such predictions can have a large impact on minimizing the damage caused by these seismic events, by providing early warnings to the...
bachelor thesis 2022
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Kreynen, Bernd (author)
Dementia care is a growing problem, both due to a rising number of cases and due to a shortage in healthcare workers. Aside from cognitive symptoms persons with dementia (PwDs) often deal with psychological symptoms such as agitation. The individualized music intervention (IMI) by Linda Gerdner has been proposed to reduce these. This is the...
master thesis 2021
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Alkan, Efe (author)
Pseudo-random number generators are the essential part of many security protocols such as signature schemes, key-exchange protocols and encryption algorithms. The security of these protocols is usually dependent on the quality of the generators they use. The generation of unpredictable random numbers supplies refreshment to the protocols, which...
bachelor thesis 2021
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Eckhardt, Thomas (author)
Wireless Sensor Networks(WSN's) are networks of sensor that wirelessly communicate to each other. The communication of these sensors needs to be secured to prevent leaking of potentially sensitive information of the data sent between the user, gateway and sensors. For WSN's lightweight authentication, protocols have been developed in order to...
bachelor thesis 2021
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Kok, Philippe (author)
The number of cybercrime cases rises rapidly, and the type of crime takes more and more diverse forms. However, the protection against these risks lag behind and becomes quickly outdated. This thesis follows the Fake News Game example using active inoculation in the form of a game against social engineering risks. Inoculation draws the analogy...
master thesis 2021
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Langerak, arjan (author)
Since their invention, the keyboard and mouse are the most used input devices that software developers use to interact with source code. However, these devices have their IDE interaction issues as developers need to spend a significant amount of time learning how to use them efficiently and effectively. To tackle some of these issues, we used an...
master thesis 2021
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Bhaskar, Priyanka (author)
Narcolepsy is a chronic neurological condition that results from the dysregulation of the sleep-wake cycle occurring in an early stage, specifically in adolescence. Patients with narcolepsy experience excessive daytime sleepiness, cataplexy, hypnagogic hallucinations, sleep paralysis and disturbed nocturnal sleep and these symptoms together form...
master thesis 2020
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Albers, Nele (author)
We analyze the internal representations that deep Reinforcement Learning (RL) agents form of their environments and whether these representations correspond to what such agents should ideally learn. The purpose of this comparison is both a better understanding of why certain algorithms or network architectures perform better than others and the...
master thesis 2020
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Maas, O.P. (author)
Social housing corporations in the Netherlands have a limited ability to influence the social housing market through offering houses to households outside of the regular waiting-list system, but often do not use an algorithmic strategy for utilising this freedom well. There is thus an open question of whether there exist algorithmic approaches...
master thesis 2020
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