- document
-
Ponichtera, Konrad (author)In the modern digital landscape, cybersecurity threats are a significant concern, particularly for publicly accessible computer systems. Vulnerabilities, or flaws in system design, can be exploited by malicious actors to compromise system security and integrity. This paper explores the challenges of handling vulnerabilities in software...master thesis 2024
- document
-
Shah, Manali (author)Cognitive Impairment, commonly termed as Dementia, affects a large number of older adults. People with dementia (PwD) experience cognitive decline that impacts their ability to perform daily activities and maintain social connections. The number of PwD is expected to rise, and unfortunately, there is still no cure. A number of non drug therapies...master thesis 2024
- document
-
van Grotenhuis van Onstein, Alexander (author)The 21st century has seen a significant rise in clean technologies driven by urgent environmental challenges alongside transformative digital innovations shaping global interactions. Despite these significant events, cleantech startups face substantial challenges and missed opportunities in effectively integrating digital technologies into their...master thesis 2024
- document
-
Barba Roque, Enrique (author)Containerization with Docker has become the standard for the deployment of software in recent years since it is a lightweight method to isolate applications. However, the selection of a Docker image brings different dependencies, which can introduce energy inefficiencies that are often not documented. Recent work performs a comparative study...master thesis 2024
- document
-
Vianen, Jop (author)While CO<sub>2</sub> is one of the factors increasing the global temperature, it is also utilized in the agriculture to enhance crop yield. In the agriculture, a sustainable solution to CO<sub>2</sub> mitigation would potentially lie in the greenhouses. A moisture swing direct air capture system can adsorb CO<sub>2</sub> from the air through...master thesis 2024
- document
-
van der Wilk, Hilco (author)The democratization of machine learning through public repositories, often known as model zoos, has significantly increased the availability of pre-trained models for practitioners. However, this abundance can make it difficult to choose the most suitable pre-trained model for fine-tuning on new tasks. Although various methods have been proposed...master thesis 2024
- document
-
Ito, Shion (author)This project aimed to develop a biodegradable material that communicates its sustainability to consumers through its aesthetic attributes and to apply this material to shoe design.<br/><br/>In the current market, most biodegradable shoes do not express their natural origin through their appearance (tactile and visual properties). For instance,...master thesis 2024
- document
-
Skogen, Sander (author)As the global shift towards renewable energy accelerates, it is crucial to address the inherent challenges and fully leverage its potential. Electric power systems have undergone significant transformations, transitioning from traditional generation methods to those incorporating renewable energy sources and power electronic interfaces (PEI)....master thesis 2024
- document
-
Cosma, Bianca (author)<b>Motivation:</b> Imbalances in the human gut microbiome have been linked to various conditions, including inflammatory bowel disease (IBD), diabetes, and mental health disorders. While metagenomics and amplicon sequencing are the most commonly used technologies to characterize microbial communities, they do not capture all layers of functional...master thesis 2024
- document
-
Dondera, Alin (author)Masked Autoencoders (MAEs) represent a significant shift in self-supervised learning (SSL) due to their independence from augmentation techniques for generating positive (and/or negative) pairs as in contrastive frameworks. Their masking and reconstruction strategy also aligns well with SSL approaches in natural language processing. Most MAEs...master thesis 2024
- document
-
Bhuradia, Mehul (author)Proteins are fundamental biological macromolecules essential for cellular structure, enzymatic catalysis, and immune defense, making the generation of novel proteins crucial for advancements in medicine, biotechnology, and material sciences. This study explores protein design using deep generative models, specifically Denoising Diffusion...master thesis 2024
- document
-
Martens, Yoeri (author)In light of the energy transition and resulting electrification of the energy systems in the Netherlands, Distribution System Operators (DSOs) need to rapidly expand their operations to facilitate consumers. At the same time, their own activities need to become more sustainable as well. One of the important methods for this is integrating the...master thesis 2024
- document
-
Blagoev, Nikolay (author)Motivated by the emergence of Large Language Models (LLMs) and the importance of democratizing their training, we propose Go With The Flow, the first practical decentralized training framework for LLMs. Differently from existing distributed and federated training frameworks, Go With The Flow enables the collaborative training of an LLM on a set...master thesis 2024
- document
-
Rogers, Eben (author)When writing functional code that composes multiple recursive functions that operate on a datastrcuture, we often incur a lot of computational overhead allocating memory, only to later read, use, and discard this information.<br/>This can be alleviated using fusion, a technique that combines these multiple recursive datastructure traversals into...master thesis 2024
- document
-
Rocour, Koen (author)The demand for hydrogen is expected to increase significantly in the coming years due to its critical role in decarbonizing industrial processes. Offshore wind presents a viable energy source for powering electrolyzers, though it leads to intermittent production. While underground salt caverns are acknowledged as a promising solution for large...master thesis 2024
- document
-
Jaldevik, Albin (author)Over the last decade, there have been significant advances in model-based deep reinforcement learning. One of the most successful such algorithms is AlphaZero which combines Monte Carlo Tree Search with deep learning. AlphaZero and its successors commonly describe a unified framework for tree construction and acting. For instance, build the tree...master thesis 2024
- document
-
van Kessel, Sylvana (author)The evaluation process of tender bids in area development by Ontwikkelingsmaatschappij het Nieuwe Westland (ONW) is addressed, which currently uses non-quantified selection criteria to find developers, one of them being 'Vision of Sustainability'. With sustainability gaining importance, this research aims to enhance the tender process by...master thesis 2024
- document
-
Makridis, Pavlos (author)Recovering the appearance and physical parameters of elastic objects from multi-view video is essential for many applications that require simulation of the real world. Past methods for this task have provided accurate results in recovering physical properties; however, their re- liance on Neural Radiance Fields (NeRFs) for novel view synthesis...master thesis 2024
- document
-
van Dorst, Carlijn (author)Amidst ongoing climate change, communities worldwide face increasing frequency and severity of floods, which cause extensive destruction and pose significant health threats. Post-flood effects include drowning, injuries, and both communicable and non-communicable diseases, varying by context. This study addresses a critical knowledge gap by...master thesis 2024
- document
-
Lupău, Cătălin (author)Passage re-ranking is a fundamental problem in information retrieval, which deals with reordering a small set of passages based on their relevancy to a query. It is a crucial component in various web information systems, such as search engines or question-answering systems. Modern approaches for building re-ranking systems rely on neural...master thesis 2024