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Intriago Zambrano, J.C. (author)
Recently, there has been a growing need for sustainable agriculture to increase food security, alleviate poverty, and contribute to climate change mitigation. Smallholder farmers (SFs) play a key role in this endeavor as they are a considerable segment of the global farming population. Despite their relevance, SFs face several challenges that...
doctoral thesis 2024
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Ghiasi, S.K. (author)
The increasing number of portable electronics and Internet of Things (IoT) devices demand scalable, low-power, and versatile networks. The Radio Frequency (RF) band has long been the main carrier for communication technologies. For instance, Bluetooth, Wi-Fi, and LoRa are assigned specific RF bands and use matured techniques to avoid infringing...
doctoral thesis 2024
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Srinivasa Raja, A. (author)
Correlative light-electron microscopy (CLEM) combines the molecular specificity of fluorescence microscopy (FM) with the ultrastructural resolution of electron microscopy (EM) to provide functional information in the context of structural detail. However, the correlation between the two modalities is hindered by a 100-fold resolution gap....
doctoral 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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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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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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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
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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
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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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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
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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
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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
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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
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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
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Santing, Matthias (author)
The transport sector is the Netherlands’ second highest emitting sector, with 19% of the total energy demand. Where other sectors are becoming more sustainable, the transport sector is one of the most difficult to decarbonise despite the many studies in this field. This research aims to gather a list of potential measures and combine them to...
master thesis 2024
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Cussen, Kai (author)
Thermo-responsive hydrogels are a class of smart material that show increasing promise and applications in the biomedical engineering industry. This thesis investigated a thermo-responsive hydrogel for 4D printing applications. A poly(N-isopropylacrylamide) (&gt;97%) (pNIPAM) based hydrogel was developed and the concentration of NIPAM, as well...
master thesis 2024
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Li, Z. (author)
Over many decades, intensive studies have been performed towards safe and sustainable substitutes for chromate corrosion inhibitors in active corrosion protection coatings for aerospace aluminium alloys. The proposed candidates must provide similar corrosion protection as compared to that of chromate-based compounds and be cost-effective for...
doctoral thesis 2024
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Barth, R. (author)
Genetic information encoded in the DNA sequences is maintained, replicated, and transcribed across the tree of life. Organisms evolved multiple hierarchical layers of chromosome organization which ensure that DNA can be contained but also processed within individual cells. This thesis focuses on SMC (Structural Maintenance of Chromosomes)...
doctoral thesis 2024
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Siemers, Wander (author)
Poor battery life is one of smartphone users’ top frustrations about their devices. This fact, in combination with the limited supply of battery minerals, the working<br/>conditions of mining, and its environmental impact, has led to high interest in reducing smartphone energy consumption. Smartphone manufacturers have introduced power-saving...
master thesis 2024
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