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Markhorst, Thomas (author)In this paper, we combine image denoising and classification, aiming to enhance human perception of noisy images captured by edge devices, like security cameras. Since edge devices have little computational power, we also optimize for efficiency by proposing a novel architecture that integrates the two tasks. Additionally, we alter a Neural...master thesis 2023
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Bien, Benedict (author)Decision trees are integral to machine learning, with their robustness being a critical measure of effectiveness against adversarial data manipulations. Despite advancements in algorithms, current solutions are either optimal but lack scalability or scale well, but do not guarrantee optimality. This paper presents a novel adaptation of the...bachelor thesis 2023
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Jirovská, Hana (author)The goal of quantum application scheduling is to enable the execution of applications on a quantum network. As the final step in the application scheduling process, program scheduling locally schedules execution of blocks of instructions on each node by defining socalled node schedules. In this thesis, we present a formal definition of program...master thesis 2023
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Wang, Heqi (author)Accurate and trustworthy shortterm traffic prediction is crucial in the modern world for the comfort of drivers and decisionmakers as it is used to improve the performance of traffic management systems, lessen congestion, increase safety, and shorten journey times. It is possible to discover useful information for network transportation...master thesis 2023
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Dorland, Bob (author)Quantum networks offer more capabilities than classical networks. For example, quantum networks can solve certain problems faster than classical networks and they can even solve problems which cannot be solved with classical networks. One wellknown quantum network application is blind quantum computing (BQC). In a BQC application a client node...master thesis 2023
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Schaap, Jop (author)The superoptimizer STOKE has previously been shown to be effective at optimizing programs containing floatingpoint numbers. The STOKE optimizer obtains these results by running a stochastic search over the set of all programs and selecting the bestoptimized one. This study aims to find more clearly what floatingpoint programs STOKE optimizes...bachelor thesis 2022
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Hagemans, Luca (author)Superoptimization is the idea of creating the most optimal program possible from a given input program. Equality saturation is a method of superoptimization using rewrite rules and egraphs. A rewrite rule defines a piece of code that can be rewritten as another part while keeping equal behavior. This is added to an egraph, a data structure...bachelor thesis 2022
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Kowalewski, Przemysław (author)STOKE is one of the Superoptimizers which are programs that given a function and a set of instructions of a processor, traverse through a space of programs that compute a given function and try to find the optimal usually in terms of execution speed or size of the binary. Authors of STOKE make some extraordinary claims. They suggest that it is...bachelor thesis 2022
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Demir, Emirhan Baran (author)Modern compilers exploit syntax \& semantics to optimize input programs.<br/>Often such optimization rules are arduous to get right and the output is not guaranteed to be globally optimal.<br/>Superoptimizers take a different approach to this problem by traversing the program space.<br/>This study focuses on Souper, a synthesizing...bachelor thesis 2022
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Bos, Thomas (author)Explainable artificial intelligence has in recent years allowed us to investigate how many machine learning methods are creating its predictions. This is especially useful in scenarios where the goal is not to predict a variable, but to explain what influences that variable. However, the methods that have been created thus far do not focus on...master thesis 2022
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Ligtenberg, Max (author)A low blood pressure (hypotension, as mean arterial pressure < 65 mmHg) in patients on the intensive care unit (ICU) is associated with adverse outcomes and death. Proactive treatment with the use of a predictive alarm could improve patient outcome. The Hypotension Prediction Index (HPI) is a machinelearning algorithm that uses arterial blood...master thesis 2021
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ten Have, Mark (author)In general, costs are an important aspect long before the construction of a civil project starts. In the conceptual phase, which is the first phase of a civil construction project, little cost information is available, and the cost estimate is at that stage of project development less accurate than when the project is almost completed. When a...master thesis 2021
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Siekman, Stef (author)In the field of cooperative multiagent pathfinding (MAPF) the optimal set of nonconflicting paths must be found for a set of agents in a graph. The addition of waypoints to this problem (MAPFW) gives rise to the possibility of more complex applications, such as in vehicle routing, aviation, computer games or robotics. Yet no algorithms have...bachelor thesis 2020
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