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Rugină, Alissia (author)
Studies in Music Affect Content Analysis use varying emotion schemes to represent the states induced when listening to music. However, there are limited studies that explore the translation between these representation schemes. This paper explores the feasibility of using machine learning models to translate from a dimensional scheme of Valence,...
bachelor thesis 2023
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Mladenov, Martin (author)
Supervisory Control and Data Acquisition (SCADA) systems are sometimes exposed on the public Internet. It is possible to quickly and efficiently identify such exposed services. They are commonly part of critical infrastructure, so they need to be protected against cyber attacks. In the past, researchers have scanned the Internet to detect such...
bachelor thesis 2023
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LIU, SHUANG (author)
Images possess the ability to convey a wide range of emotions, and extracting affective information from images is crucial for affect prediction systems. This process can be achieved through the application of machine learning algorithms. Categorical Emotion States (CES) and Dimensional Emotion Space (DES) are two typical models used for...
bachelor thesis 2023
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Dimitrov, Ivan (author)
The objective of this report is to establish and present a machine learning model that effectively translates affect representation from emotional attributes such as arousal (passive versus active) and valence (negative versus positive) to dominance (weak versus strong). In the pursuit of this goal, various research questions are addressed. The...
bachelor thesis 2023
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Oschatz, Quentin (author)
This paper explores algorithms to optimize networked caching, where requests for files can be handled by a local cache instead of a remote server. Caches work collaboratively to prevent redundant caching, and each new batch of file requests is used to update the entire network. Data is cached in an integral manner, meaning that only discrete...
bachelor thesis 2022
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Franschman, Lesley (author)
The way that surgeons currently use surgical navigation technology impacts their hand-eye coordination and their ability to view images and data critically. To tackle this issue Augmented Reality goggles, built from the HoloLens 2, have been developed specifically for the purpose of aiding surgeons during surgery and it is called: The HoloNav....
bachelor thesis 2022
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Tan, Ee Xuan (author)
Surgical navigation is a tool that surgeons rely on everyday to perform accurate surgeries all over the world. However, this technology requires good hand-eye coordination and a high level of concentration. HoloNav is a project that inquires to see if using the HoloLens and augmented reality can replace the current surgical navigation methods....
bachelor thesis 2022
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Cicimen, Alp (author)
Surface Registration is a registration problem that handles the registration of two similar surfaces. In most research that utilises Deep Learning (DL) models to handle surface registration two theories are investigated; the first being whether surfaces sampled from the same origin can be registered together, and the second theory being whether...
bachelor thesis 2022
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Omar Mohamed Hosny Mohamed Hussein, Omar (author)
Patient and instrument tracking are fundamental parts of surgical navigation systems. Traditional surgical navigation systems rely on stationary cameras for tracking and stationary screens for presenting information. An increased mental load is exerted by surgeons as they switch focus between the surgical site and the presented data. By...
bachelor thesis 2022
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Weyns, Maarten (author)
In order to be able to use the Microsoft HoloLens for surgical navigation purposes, performing good patient alignment is of utmost importance. This paper will discuss how this patient alignment can be done using different point cloud registration algorithms.<br/>A lot of research is being conducted on point cloud registration algorithms. However...
bachelor thesis 2022
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Westerborg, Ties (author)
Learning to Rank is the application of Machine Learning in order to create and optimize ranking functions. Most Learning to Rank methods follow a listwise approach and optimize a listwise loss function which closely resembles the same metric used in the evaluation. Popular listwise loss functions such as nDCG, AP and nRBP do not have consistent...
master thesis 2022
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Bánsági, Aurél (author)
In group recommendation, a key question is how preferences from individuals should be obtained and then aggregated into a group outcome. Collecting individual preferences can be done through implicit or explicit means, but there is insufficient research available on what option is optimal. For comparing different possible aggregation strategies,...
master thesis 2021
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Bobde, Sharwin (author)
Using Recommender Systems with Evolutionary Algorithms is an extremely niche domain. It holds the key to enabling new user interaction designs, where users can effectively configure their experience with a Recommender System. This thesis answers important questions about the scientific aspects of its application to large-scale data through a...
master thesis 2021
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Henkes, Casper (author)
Finding good viewpoints for catoptric anamorphoses by hand is hard. However, it should be possible to find the optimal viewpoint using just the specifications of the mirror. This problem is solved by first generating a set of candidate viewpoints using the specifications of the mirror. Then all candidates are ranked based on metrics like visible...
bachelor thesis 2021
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Lam, Jacky (author)
Artists that create mirror anamorphosis usually relies on the principle of trial-and-error and manual mathematical calculations. they have to draw a deformed image on the surface to get the desired reflected image on the mirror object. A drawing interface to make this kind of art does not exist currently. In this paper, we make a suitable...
bachelor thesis 2021
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Çoban, Daglar (author)
Image abstraction plays an important role in converting pixelated or low quality images into vector images. This paper presents a systematic user interactive process to abstract a generic photograph and to produce suitable content for vectorization. The goal of abstraction is to simplify the content of the photograph while retaining important...
bachelor thesis 2021
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Matušovič, Marko (author)
This research builds upon a previous method of vectorisation of pixel art by pixel neighbour connecting and boundary energy minimisation. The downside of the previous method is the lack of user input throughout the process and possible divergence between the results and the artist’s vision. The proposed method uses the first part of previous...
bachelor thesis 2021
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Jense, Riley (author)
Mirror anamorphosis is characterised by a distorted projection, where the combination of a mirror and a specific viewpoint lets the observer see the undistorted image. The use of this technique and complex perspective in general has gone from being niche to becoming mainstream. Raytracing poses itself as a solution to solving the math for such...
bachelor thesis 2021
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Goossens, Daan (author)
Minimalistic, low-poly images have gotten more popular in recent years. But making these low-poly images by hand can be time intensive. For this reason, a lot of research has gone into how to triangulate an image (semi-)automatically. In previous works, only constant color and bilinear interpolation have been used to color the triangles in the...
bachelor thesis 2021
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Zeilstra, Mika (author)
This paper accelerates the rendering of diffusion curves using the ray tracing cores found on modern NVIDIA graphics cards using the method described by Bowers et al. [Bowers, Leahey and Wang 2011]. This method approximates the final result of the Poisson equation and in this paper is accelerated using Optix and dedicated ray tracing hardware....
bachelor thesis 2021
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