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Thimmapa, Pradeepthi (author)
Contemporary project-based organisations recognise the importance of leveraging past project knowledge for competitive advantage. By leveraging the lessons learned from previous and ongoing projects, organisations can benefit from managing learning within and across projects effectively. Despite these benefits, challenges persist in effectively...
master thesis 2024
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Kirilov, Konstantin (author)
The post-war architectural and urban design paradigm’s characteristic trait of spatial and functional determination limits the possibility for spatial adaptation and flexibility in urban spaces, struggling to face ever-steadily occurring social, economic, and climate challenges. In Droixhe - the largest post-war social housing ensemble in Liège,...
master thesis 2024
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van Zanten, Jimmy (author)
Hydrogen is an interesting and promising alternative for fuels. Currently, most hydrogen is produced via a process called steam reforming, where a reaction between methane and water occurs, with carbon monoxide and carbon dioxide as waste products and released in the atmosphere. This work presents a study on the sustainable production of...
master thesis 2024
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Piccoli, Francesco (author)
Recent advancements in machine learning (ML) have shown promise in accelerating polymer discovery by aiding in tasks such as virtual screening via property prediction, and the design of new polymer materials with desired chemical properties. However, progress in polymer ML is hampered by the scarcity of high-quality, labelled datasets, which are...
master thesis 2024
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Corte Vargas, Fernando (author)
How can robots without expressive faces or bodies convey emotions? Why would it be useful if robots could express emotion? In the context of human-robot interaction, could emotional expression lead to a greater comprehension of robotic behaviors and intents? These are questions addressed by the field of affective robotics, which seeks to develop...
master thesis 2024
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Snoeij, Corné (author)
This research explores the use of Artificial Intelligence (AI), specifically Large Language Models (LLMs), into the operationalization of Government Technology (GovTech) benchmarks to increase their utility for policymakers. Research and practice consistently highlight persistent challenges in GovTech benchmarking, such as resource-intensive...
master thesis 2024
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van Hal, Xander (author)
This report discusses urban air quality measurements carried out in a park in Aigaleo (Athens), located adjacent to a busy road. The measurements were taken using the Sniffer4D Mini 2 sensor box with a drone to investigate how Urban Air Mobility can aid in measuring urban air quality. CO, NO<sub>2</sub>, O<sub>3</sub>, SO2, PM<sub>2.5</sub> and...
master thesis 2024
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Nieuwschepen, Berend (author)
Governments are increasingly dependent on GovTech, which is the technology that facilitates processes in the public sector. Benchmarking the state of GovTech is done by governments and yields indispensable insights, which are used for optimising resource utilisation, identifying areas for improvement, and facilitating evidence-based policy...
master thesis 2024
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Okto Fenno, Okto (author)
The global transportation sector's heavy reliance on fossil fuels poses significant environmental challenges. In response, many countries, including Indonesia, are exploring sustainable alternatives like electric vehicles (EVs). With abundant nickel reserves, Indonesia aims to reduce greenhouse gas emissions through the adoption of EVs,...
master thesis 2024
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Bakkenes, Mechteld (author)
The adoption of artificial intelligence (AI) in performance management, particularly among knowledge workers in traditional organizational settings, is the focal point of this thesis. The study aims to understand the current state of AI adoption, anticipated benefits, challenges, and effective strategies for adoption, considering the critical...
master thesis 2024
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Vives Massana, Marc (author)
An unintended yaw is a persistent accident characterised by an unexpected helicopter rotation around the yaw axis without the pilot’s intention and any technical malfunctions. Unintended yaw accidents are one of the top operational causes of helicopter accidents, causing serious damages and fatalities each year. This thesis in collaboration with...
master thesis 2024
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Tóth, Dani (author)
This paper presents an encoder-decoder-style convolutional neural network (CNN) for the purpose of improving monocular and stereo depth estimation (SDE) estimates, by combining them with the corresponding monocular estimates through a fusion network, assisted by prior information to provide context for the fusion. Video cameras are commonly used...
master thesis 2024
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van den Elshout, Coen (author)
To prevent the worst dangers of climate change, the EU has committed to net zero by fully decarbonizing the European energy sector by 2050. While most energy sectors can be decarbonized by electrification, some “hard-to-abate” sectors need other solutions to lower their emission output. The EU has chosen green hydrogen to replace fossil fuels in...
master thesis 2024
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Westert, Dorien (author)
Deliberately mutilated weapons and other objects are repeatedly discovered in ancient burials from the Iron Age. This research is focused on the Early Iron Age bent swords from the Hallstatt C period (800-600 BC) found in archaeological sites in the Netherlands. Metallographic research methods are used to investigate how these swords were bent,...
master thesis 2024
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Novajra, Lorenzo (author)
This thesis undertakes an extensive examination of the Ligurian and Maritime Alps region, deeply intertwined with its distinctive landscape features and closely tied to its identity. Its objective is to illuminate critical aspects of this territory through meticulous observation.<br/>Drawing from a solid theoretical foundation grounded in local...
master thesis 2024
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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
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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
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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
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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
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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
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