Searched for: mods_note_programme_s%3A%22Computer%255C+Science%22
(1 - 20 of 558)

Pages

document
Khattat, Mostafa (author)
Threshold signatures play a crucial role in the security of blockchain applications. An efficient threshold signature can be applied to enhance the security of wallets and transactions by enforcing multi-device-based authentication, as this requires adversaries to compromise more devices to recover the key. Additionally, threshold signatures can...
master thesis 2024
document
Behnen, Francis (author)
Projects in a software engineering (SE) curriculum have many advantages for students. For example, students gain teamwork and project management skills. Involving an external stakeholder can enhance the learning experience further. For instance, students have the opportunity to practice stakeholder management. Moreover, working on a project with...
master thesis 2024
document
Mouw, Zeger (author)
The advancement of artificial intelligence (AI) has led to an increased demand for both a greater volume and quality of data. In many companies, data is dispersed across multiple tables, yet AI models typically require data in a single table format. This necessitates the merging of these tables and the selection of optimal features for the model...
master thesis 2024
document
Schilder, Connor (author)
Background: Genetic information is shared between different bacteria through mobile genetic elements, among which plasmids. Some plasmids are able to transfer and spread genetic information between different species. Understanding which genes allow plasmids to replicate in different species is useful in containing the antibiotic resistance...
master thesis 2024
document
Nair, Ruben (author)
Mixed-integer optimization problems, incorporating both discrete and continuous variables, present unique challenges across various domains such as computer science, finance, logistics, and healthcare. Evolutionary Algorithms (EAs) have emerged as powerful optimization techniques capable of tackling such complex problems in either the discrete...
master thesis 2024
document
Nanhekhan, Kevin (author)
Amidst the rampant spread of misinformation, fact-checking of diverse claims made on the internet has become a pertinent task to mitigate this problem. Manual fact-checking cannot scale up with this demand and is very cumbersome, therefore instead automated fact-checking can be used. However, existing work has primarily focused on the fact...
master thesis 2024
document
van der Ende, Dyon (author)
The internet is a system that was introduced over 30 years ago and has taken over the world since then. Connecting over 5 billion people is possible thanks to the global scale that the internet operates at. While the advantages are unmistakable, we must also acknowledge that the internet is a large contributor to the emission of greenhouse...
master thesis 2024
document
Anton, Mihai (author)
In large-scale ML, data size becomes a critical variable, especially in the context of large companies, where models already exist and are hard to change and fine-tune. Time to market and model quality are essential metrics, thus looking for ways to select, prune and augment the input data while treating the model as a black box can speed up the...
master thesis 2024
document
Chen, Ivo (author)
Large language models (LMs) are increasingly used in critical tasks, making it important that these models can be trusted. The confidence an LM assigns to its prediction is often used to indicate how much trust can be placed in that prediction. However, a high confidence can be incorrectly trusted if it turns out to be incorrect, also known as a...
master thesis 2024
document
Vogel, Ricardo (author)
Several useful technologies to help people with dementia already exist. Robotic pets, for example, have been shown to alleviate negative symptoms associated with dementia. Most robotic pets, however, only have pet-like functionality. This is useful on its own, but adding additional care functionality would be helpful. A different useful tool for...
master thesis 2024
document
Nijkamp, Nienke (author)
Integrating Artificial Intelligence (AI) into software systems has significantly enhanced their capabilities while escalating energy demands. Ensemble learning, combining predictions from multiple models to form a single prediction, intensifies this problem due to cumulative energy consumption. <br/><br/>This paper presents a novel approach to...
master thesis 2024
document
Kostakonti, Sofia (author)
With the advancement of technology and the integration of Large Language Models, interactive robots are entrusted with more significant tasks that contribute to human well-being. This transition is particularly significant in educational settings, where social robots assume diverse roles such as teacher, tutor, and instructional tool, aiming to...
master thesis 2024
document
Leibbrandt, Louise (author)
In criminal investigations, individuals may be connected to illicit activities by linking their personal phone to an otherwise anonymous, crime-related phone. Several methods have been published that use cell tower registrations to differentiate between same-user and different-user scenarios for the two phones. However, criminals may deviate in...
master thesis 2024
document
Mironov, Stas (author)
A network, is defined as a collection of nodes interconnected by links. When this topology changes through time, we call it a temporal network. A specific class of networks, with only two types of nodes with no connections between one kind, is the bipartite network. An example is a telecommunications network, where nodes represent...
master thesis 2024
document
Mariën, Simon (author)
n the rapidly evolving semiconductor industry, precise material characterization is crucial. This thesis focuses on enhancing Ion Beam Analysis (IBA), a pivotal tool in semiconductor characterization, through the integration of differential evolution optimization. This research proposes a single and multi spectra optimization algorithm approach...
master thesis 2024
document
Saveur, Tom (author)
The promotion of desirable behaviours, such as socially appropriate or health-promoting actions, can be bolstered through a deeper understanding and awareness of the values that underpin the associated behavioural choices. Various implementations for promoting behaviour change based on goals already exist in Human-Robot Interaction, but, since...
master thesis 2024
document
Eickhoff, Jerrit (author)
Online gaming is the world’s largest entertainment industry by revenue, and supports over 3 billion consumers worldwide. Many of the world’s most popular online games must manage millions of concurrent players through a single unified service. Achieving performant and scalable online games is challenging. Online games are subject to stringent...
master thesis 2024
document
Wang, Sunwei (author)
With the increasing development of artificial intelligence (AI), there is a more significant opportunity for humans and agents to collaborate in teamwork. In Human-Agent Teamwork (HAT) settings, collaboration requires communication, and the agent displaying emotion can impact how human teammates communicate and work together with the agent. This...
master thesis 2024
document
Kropf, Kylian (author)
This thesis proposes and develops an interface and model in which advanced optimisation for general employee scheduling is made available to non-experts in computer science or optimisation. The interface teaches, guides, configures, dynamically creates a constraint programming (CP) model, iteratively improves, decreases black box properties,...
master thesis 2024
document
Volkers, Bas (author)
Individualizing mechanical ventilation treatment regimes remains a challenge in the intensive care unit (ICU). Reinforcement Learning (RL) offers the potential to improve patient outcomes and reduce mortality risk, by optimizing ventilation treatment regimes. We focus on the Offline RL setting, using Offline Policy Evaluation (OPE), specifically...
master thesis 2024
Searched for: mods_note_programme_s%3A%22Computer%255C+Science%22
(1 - 20 of 558)

Pages