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Hueber, Paul (author)
Designing processors for implantable closed-loop neuromodulation systems presents a formidable challenge owing to the constrained operational environment, which requires low latency and high energy efficacy. Previous benchmarks have provided limited insights into power consumption and latency. However, this study introduces algorithmic metrics...
master thesis 2024
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Rook, Brian (author)
Background<br/>Virtual Reality is an increasingly hot topic these days. As a user, you can play more and more high-quality games and strides are being made to use this medium for education and new kinds of workspaces. Previous research on Virtual Reality shows that it could improve teamwork by letting users share information easier. Users in...
bachelor thesis 2023
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Gómez Mena, Teresa (author)
Despite Virtual Reality being a relatively new field, it is steadily being introduced into numerous disciplines, such as education. Within these systems, particularly in collaborative environments, it is crucial to have a high Share Situational Awareness (SSA) in order to be aware of ones’ surroundings, encourage efficient decision making and...
bachelor thesis 2023
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Guo, Ching (author)
Background: The advancements in Virtual Reality (VR) technology have opened up new possibilities for studying human dynamics and conducting experiments in immersive environments. To gain insights into collaborative learning and how it can be enhanced, an experiment was conducted to investigate the effects of visualizations of activities in VR on...
bachelor thesis 2023
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Somsen, Dirk Jan (author)
Background <br/>Learning is a core part of how we grow as humans. Over the last few years it has been shown increasingly that learning in groups tends to be more effective than learning individually. This research aims to show a link between an individual’s Situational awareness and the degree of collaboration.<br/>Method <br/>An experiment was...
bachelor thesis 2023
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Kroon, Mirco (author)
Simulating lighting is one of the most important parts of rendering 3D scenes. While lighting coming directly from a light source is easy to simulate in real-time, indirect illumination is more difficult. One of the methods used to convincingly approximate indirect illumination is ambient occlusion, where the brightness of objects is reduced...
master thesis 2023
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Dumanlı, Ege (author)
Simulating visually compelling water is difficult especially in Augmented Reality environments where the water has to interact with the user’s surroundings. In this paper, implementations of reflections, refractions and transparency effects that are physically inaccurate but result in visually compelling water simulation in Augmented Reality...
bachelor thesis 2022
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Radder, Marit (author)
Aligning sketches to their corresponding painting could give more insight into the creative process of an artist. This is a difficult task that cannot be solved directly with classical image registration techniques. Typically, features such as cracks and brushstrokes are used to match different modalities. A sketch does not contain such...
bachelor thesis 2022
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Streefkerk, Thomas (author)
CycleGANs [1] and CIConv [2] are both relatively new approaches to their respective applications. For CycleGANs this application is unpaired image-to-image domain adaptation and for CIConv this application is making images more<br/>robust to illumination changes. We investigate whether CycleGANs in combination with CIConv can be used to improve...
bachelor thesis 2022
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Gioia, Gianpaolo (author)
The possibility to improve an existing method by making (part of) it learnable is explored in this research. The work that this research extends added prior knowledge to a Convolutional Neural Network (CNN) to improve its performance when dealing with an illumination shift. The method used for the preprocessing, is the color invariant. The...
bachelor thesis 2022
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Brouwer, Gees (author)
While deep neural networks show great potential for being part of safety-critical applications such as autonomous driving, covering their sensitivity to illumination shifts by adding training data is of- ten non-trivial. The undesired illumination shift between train and test data can be addressed by domain adaptation methods. Recent work [9]...
bachelor thesis 2022
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Arsene, Florentin (author)
Personal moral values represent the motivation behind individuals' actions and opinions. Understanding these values is helpful both in predicting individuals' actions, such as violent protests, and building AI that can better collaborate with humans. Predicting moral values is a challenging problem due to the abstract and subjective essence of...
bachelor thesis 2021
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Constantinescu, Ionut (author)
Understanding personal values is a crucial aspect that can facilitate the collaboration between AI and humans. Nonetheless, the implementation of collaborative agents in real life greatly depends on the amount of trust that is built in their relationship with people. In order to bridge this gap, more extensive analysis of the explainability of...
bachelor thesis 2021
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Vecerdea, Dragos (author)
Moral values are abstract ideas that ground our judgements towards what is right or wrong. However, with the rapid unfold of moral rhetoric on social media, it becomes increasingly important to place these ideas in a moral frame, contain their harmful effects, and recognise their positive ones. So far, estimating values from opinionated text has...
bachelor thesis 2021
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Geadău, Andrei (author)
Moral values are instrumental in understanding people's beliefs and behaviors. Estimating such values from text would facilitate the interaction between humans and computers. To date, no comparison between NLP models for predicting moral values from text exists. This paper addresses this by comparing LSTM and more novel models such as BERT and...
bachelor thesis 2021
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Dondera, Alin (author)
Moral values play a crucial role in our decision-making process by defining what is right and wrong. With the emergence of political activism and moral discourse on social media, and the latest developments in Natural Language Processing, we are looking at an opportunity to analyze moral values to observe trends as they form. Recent studies have...
bachelor thesis 2021
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Haakman, Wout (author)
Predicting similarity between sentence pairs is essential for applications such as recommender systems and plagiarism detection. There have been several categories of approaches for predicting sentence similarity. This paper combines approaches from two categories, semantic and structural similarity, to find a hybrid approach that aligns more...
bachelor thesis 2021
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Van Steenweghen, Abel (author)
Sentiment analysis techniques estimate the opinion of the au- thor of a text towards an entity from that text. Current sen- timent analysis techniques are based on language features or deep learning methods. However, they do not make use of the extensive background knowledge that human readers can have. This makes it difficult for these models...
bachelor thesis 2021
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Mariën, Simon (author)
The increasing amount of untrusted content on the internet is a worrisome trend. The headline of an article can be adjusted to influence a potential readers attention and click-through rate. This clickbait or sensationalism can mislead the reader as the headline does not accurately represent the information in the corresponding article body....
bachelor thesis 2021
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Vass, Kristóf (author)
Stance detection is a Natural Language Processing task that aims to detect the stance (support, agreement, or disagreement) of a piece of text towards some target. In this paper, we aim to find the best performing pair of feature extraction method and feature-based machine learning algorithm. By doing so, an explainable method can be found to...
bachelor thesis 2021
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