Searched for: contributor%3A%22Picek%2C+S.+%28graduation+committee%29%22
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Solà Roca, Albert (author)
Water distribution networks (WDNs) provide drinking water to urban and rural consumers through a network of pipes that transport water from reservoirs to junctions. Water utilities rely on tools such as EPANET to simulate and analyse the performance of water distribution networks (WDNs). EPANET solves the flow continuity and headloss equations...
master thesis 2023
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Tatabitovska, Ana (author)
Maximum Satisfiability (MaxSAT) is a known problem within the optimization field which has led many different solving approaches to be devised in the last several decades. From Linear Search to unsatisfiable core-based solvers, many MaxSAT algorithms rely on cardinality constraints to express how many soft clauses can be violated at most....
master thesis 2023
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Zhou, Jing (author)
Explainable AI (XAI) has gained increasing attention from more and more researchers with an aim to improve human interaction with AI systems. In the context of human-agent teamwork (HAT), providing explainability to the agent helps to increase shared team knowledge and belief, therefore improving overall teamwork. With various backgrounds and...
master thesis 2023
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Marijnissen, Imko (author)
Core-guided solvers and Implicit Hitting Set (IHS) solvers have become ubiquitous within the field of Maximum Satisfiability (MaxSAT). While both types of solvers iteratively increase the solution cost until a satisfiable solution is found, the manner in which this relaxation is performed leads to the belief that these techniques are wholly...
master thesis 2023
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Zarin, Naqib (author)
Blockchain technology has proven to be a promising solution for decentralized systems in various industries. At the core of a blockchain system is the peer-to-peer (P2P) overlay, which facilitates communication be- tween parties in the blockchain system. Recently, there is increasing evidence that this P2P overlay plays a major role in limited...
master thesis 2023
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Taneva, Aleksandra (author)
Nowadays, the online industry contributes to a multi-billion dollar business, facilitates most of the population's everyday activities, and processes vast amounts of data, including personal data. Current work aims to explore the inconsistency or consistency of the content obtained by the websites to generate cookies based on various data that...
master thesis 2023
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Băbeanu, Alexandru (author)
Online advertisement is a multi-billion dollar industry that constitutes a primary source of income for most publishers offering free content on the Web. Online behavioural advertisement refers to the practice of serving targeted ads to online users based on their potential interests. In order to infer these interests, online advertisers...
master thesis 2021
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Overdevest, Lennart (author)
The value of data has increased enormously over the last couple of years. Many datasets contain valuable information that can, for example, be used to make forecasts. In this thesis, the dataset of a company in the self-storage industry is analyzed. The company offers customers rental storage facilities, such as lockers, rooms, containers at...
master thesis 2021
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Pletinckx, Stijn (author)
Security misconfigurations and neglected updates commonly lead to systems being vulnerable. Ranging from default passwords to unpatched software, many systems, such as websites or databases, are being compromised due to these pitfalls. Often stemming from human error, it is difficult to avoid these misconfigurations, which is why they are...
master thesis 2021
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Birkhoff, Marius (author)
To push the boundaries of technology, the world cup football for robots, RoboCup, is organized on a yearly basis since 1997. To push the boundaries of artificial intelligence, a simulated version of the RoboCup, AI World Cup Football, is arranged yearly from 2017. This requires skillful attackers, defenders and goalkeeper. A large part of having...
bachelor thesis 2021
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Heslenfeld, Sam (author)
In this paper, one of the challenges that comes with defending in AI soccer is highlighted and an attempt is made in finding a solution for the problem. In soccer, defense is an important part of the game and the research question in this research is formulated as follows: what are the most effective methods to take by surprise and dispossess...
bachelor thesis 2021
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Oude Elferink, Rens (author)
The AI World Cup is a virtual competition in which teams of five players compete in a football match. The defensive strategies for the goalkeeper in this environment are yet to be researched, however. In previous editions of the competition the participating teams use a basic goalkeeper that can only dive but not position itself. This project...
bachelor thesis 2021
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van den Hurk, Tobias (author)
Virtual robot soccer competitions have been rising in popularity in recent years, due to their easier accessibility than physical robot soccer. This is also the reason these virtual competitions were created. The goal is to compete in the AI world cup, one of the virtual soccer competitions. A coach-based framework has already been built, and...
bachelor thesis 2021
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Velthoven, Tim (author)
Robot soccer competitions have been around for a while and have been a great environment to develop AI algorithms in. One of these environments is the AI world cup. The AI world cup environment is a virtual environment where two teams with five robots each play a soccer match. This paper focuses on defending the attacker that is carrying the...
bachelor thesis 2021
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van den Berg, Michiel (author)
This work analyses context effect in the evaluation of music similarity performed by human annotators to better understand the impact of context effects in the current annotation protocol of Music Information Retrieval Evaluation eXchange (MIREX). Human annotators are known to be subjective when giving similarity judgements. The Audio Music...
master thesis 2021
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Vos, Jelle (author)
In our increasingly digital society, we are making a growing amount of data available to computers, networks and third parties. As a consequence, our sensitive data is in danger of getting exposed. The field of multi-party computation attempts to mitigate this by studying protocols that enable parties to perform their operations digitally,...
master thesis 2021
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Zirkzee, Wouter (author)
Due to the rapid growth of diseases like diabetes, machine-learning (ML) advanced clinical decision support systems (CDSS) that support doctors or patients in their care might prove to be a valuable asset. In the battle to make healthcare more accessible, adopting ML techniques could be supportive in increasing the overall<br/>effectiveness and...
master thesis 2021
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van Rossum, Tim (author)
The Internet consists of many subnetworks, which are connected to each other. These subnetworks are the autonomous systems (ASes) that make up the Internet: each hosts a part of it. In order to successfully determine routes from one of these ASes to the other, the Border Gateway Protocol (BGP) is used. This protocol has several security flaws...
master thesis 2020
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Dekker, Florine (author)
Privacy-preserving data aggregation protocols have been researched widely, but usually cannot guarantee correctness of the aggregate if users are malicious. These protocols can be extended with zero-knowledge proofs and commitments to work in the malicious model, but this incurs a significant computational cost on the end users, making adoption...
master thesis 2020
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Versluis, Niels (author)
Elliptic Curve Cryptography (ECC) performance is a major performance bottleneck when serving many VPN clients from a single server on a low-frequency FPGA softcore CPU. Using an area-efficient Elliptic Curve Point (ECP) multiplication accelerator core on the same FGPA, a much higher amount of clients can be served using the same FPGA chip. Using...
master thesis 2020
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