Searched for: contributor%3A%22Lofi%2C+C.+%28graduation+committee%29%22
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Doorn, Miriam (author)
Scenario-based learning uses interactive scenarios to present the user with situations that need user input to be resolved in order to teach the user the correct behaviour. Traditionally these scenarios would be presented in a rigid order that is linearly increasing in difficulty. Every student however has a different learning rate. Studies have...
master thesis 2023
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Dunnewind, Mirko (author)
Immersive technologies, such as head-mounted devices for Virtual Reality (VR), have experienced increased availability on the consumer market. This opens up numerous possibilities for scientific research and industrial applications. But, configuring and combining data from various sources to create an effective visualization to explore,...
master thesis 2023
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Bijl, Robin (author)
The ever-increasing demand for computing has led to the need for specialized heterogeneous hardware, and the frameworks required to utilize them. Besides the traditional central processing units, more and more programs will make use of specialized hardware to accelerate computations. However, the increase in computing also leads to shorter mean...
master thesis 2023
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Juhošová, Sára (author)
Formal verification is a powerful tool for ensuring program correctness but is often hard to learn to use and has not yet spread into the commercial world. This thesis focuses on finding an easy-to-use solution to make formal verification available in popular programming language ecosystems. We propose a solution where users can write code in an...
master thesis 2023
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Ramezani, Shayan (author)
Bayesian Optimization (BO) has demonstrated significant utility across numerous applications. However, due to it being designed as a universal optimizer, its performance can often be suboptimal in specialized environments. To overcome this issue, research has been conducted into the application of transfer learning for enhancing BO performance...
bachelor thesis 2023
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Hautelman, Alex (author)
Bayesian optimisation is a rapidly growing area of research that aims to identify the optimum of the black-box function, as it strategically directs the optimisation process towards promising regions. This paper provides an overview of the theoretical background used by the Entropy Search algorithms under study, mainly Predictive Entropy Search,...
bachelor thesis 2023
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Popica, Tudor (author)
This research investigates the improvement of Kernel Density Estimation (KDE) comprehension in a university context via visualization-enhanced teaching. The study tackles KDE misconceptions, the efficacy of visual aids, and the role of previous mathematical and machine learning knowledge. Using a mix of literature review, survey, and...
bachelor thesis 2023
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Manoli, Calin (author)
Machine Learning (ML) is a rapidly growing field, therefore ensuring that students deeply understand such concepts is of key importance in order to certify that they are prepared for the challenges and opportunities of the future workforce. Despite this, literature on teaching ML and assessing students' understanding with regard to this field is...
bachelor thesis 2023
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Eckhardt, Thomas (author)
This paper presents a novel approach to synthetic data generation for OCR post-correction, utilizing specific background and font variations tailored to specific timeperiods. The goal is to use synthetic data to enhance text accuracy in digitized historical documents. The proposed three-step process involves generating synthetic images that...
master thesis 2023
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Sihlovec, Oliver (author)
Scientific problems are often concerned with optimization of control variables of complex systems, for instance hyperparameters of machine learning models. A popular solution for such intractable environments is Bayesian optimization. However, many implementations disregard dynamic evaluation costs associated with the optimization procedure....
bachelor thesis 2023
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ter Horst, Ynze (author)
master thesis 2023
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Nieuwlaar, Erwin (author)
The European Commission is developing a European Digital Identity (EDI), which will enable a trustworthy digital proof of identity for its citizens. We present a proof of identity in combination with cryptographic evidence of the natural person being authorized to act on behalf of a legal entity. Our study achieves this by connecting users of...
master thesis 2023
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Nguyen, Phu (author)
Tactile Internet opens many new possibilities as it solves one of the critical problems in the modern-day Internet, namely latency. Remote operations are possible that are deemed too dangerous with current technologies. Interacting directly with the remote environment without being physically present will be a life-changing experience. Before...
master thesis 2023
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Kilkiş, San (author)
Present Knowledge Based Engineering (KBE) applications do not facilitate collaborative processes due to lack of process formalization and orchestration capabilities, leading to ad-hoc solutions. This increases application development time, reduces re-usability, and increases the cognitive burden of users leading to decreased design efficiency....
master thesis 2022
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Quist, Joris (author)
Binary Neural Networks (BNNs) are compact and efficient by using binary weights instead of real-valued weights. Current BNNs use latent real-valued weights during training, where several training hyper-parameters are inherited from real-valued networks. The interpretation of several of these hyperparameters is based on the magnitude of the real...
master thesis 2022
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Chuang, Ching Chi (author)
Dependency management is an important task in software maintenance. However, identifying and removing unused dependencies takes a lot of effort from developers as existing tools may discover many false positives which are challenging to distinguish. This paper proposes a decision framework to improve unused dependency detection. It is applied to...
master thesis 2022
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Narchi, William (author)
This paper presents how a convolutional neural network can be constructed in order to recognise gestures using photodiodes and ambient light. A number of candidates are presented and evaluated, with the most performant being adopted for in-depth analysis. This network is then compressed in order to be ran on an Arduino Nano 33 BLE...
bachelor thesis 2022
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van der Toorn, Jules (author)
Multimodal imaging is used by conservators and scientists to study the composition of paintings. To aid the combined analysis of these scans, such images must first be aligned. Rather than proposing a new domain-specific descriptor, we explore and evaluate how existing feature descriptors from related fields can improve the performance of...
bachelor thesis 2022
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Spasov, Mihail (author)
Image registration is the process that overlays two or more images from different sources taken at different times and angles. Art conservators take various scans of paintings and then register them against the original in order to learn more about the working style of the artist, materials used and physical changes throughout time. This paper...
bachelor thesis 2022
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Quin, Tristan (author)
This research investigates the efficacy and reliability of geometric matching for the specific case of aligning non-exact copies of artistic works with the original from which they were derived. The purpose of which is to provide a foundation for comparison in any further analysis conducted by conservators and art historians. An overview of the...
bachelor thesis 2022
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