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van Eijs, Quinten (author)Decentralized learning (DL) leverages edge devices for collaborative model training while enhancing data privacy, as training data never leaves the device. In this paper, we present "BeyondFederated: Truly Decentralised Edge AI," a novel approach to overcoming the limitations of traditional Federated Learning (FL) by eliminating reliance on...master thesis 2024
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Theijse, Bouwe (author)This research explores the opportunities and limitations of image-based AI tools for industrial design. In collaboration with designers at Royal Gazelle, several tools were tested. AI tools can broaden and speed up the creative processes but also lack control for the user. AI models and designers use different terms to articulate perceptions and...master thesis 2024
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Rijpkema, Gerben (author)Forensic microtrace investigation relies on a time- and labour-intensive process of manually analysing samples via microscopy. To aid forensic experts in their investigations, an image recognition model for microtrace localisation and classification is needed. This work investigates the trace recognition accuracy that can be achieved by...master thesis 2024
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Ahrens, B.P. (author), Matthes, Ralph (author), van der Weide, N.J. (author), Wullaert, K.F. (author)We present a formalization of different categorical structures used to interpret linear logic. Our formalization takes place in UniMath, a library of univalent mathematics based on the Coq proof assistant. All the categorical structures we formalize are based on monoidal categories. As such, one of our contributions is a practical, usable...conference paper 2024
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Dai, Zhicheng (author), Li, Dewei (author), Feng, Y. (author), Yang, Yuming (author), Sun, Long (author)Understanding pedestrian wayfinding behavior is crucial for traffic management and building design. The use of virtual reality technology presents an efficient approach for investigating pedestrian wayfinding behavior in large public spaces, offering numerous advantages for data collection. However, the impact of different scenario dimensions on...journal article 2024
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Gu, Lipeng (author), Yan, Xuefeng (author), Nan, L. (author), Zhu, Dingkun (author), Chen, Honghua (author), Wang, Weiming (author), Wei, Mingqiang (author)The conventional wisdom in point cloud analysis predominantly explores 3D geometries. It is often achieved through the introduction of intricate learnable geometric extractors in the encoder or by deepening networks with repeated blocks. However, these methods contain a significant number of learnable parameters, resulting in substantial...journal article 2024
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Polyportis, Athanasios (author), Mugge, R. (author), Magnier, L.B.M. (author)Despite their environmental benefits, products made from recycled materials are not readily adopted. Prior studies focused on improving consumer adoption via product attributes and marketing elements, but the impact of product appearance remains a gap in the literature. This research contributes by investigating how observability of the recycled...journal article 2024
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Viswanathan, V. (author), Mohania, Mukesh (author), Goyal, Vikram (author)Online learning systems have multiple data repositories in the form of transcripts, books and questions. To enable ease of access, such systems organize the content according to a well defined taxonomy of hierarchical nature (subject - chapter -topic). The task of categorizing inputs to the hierarchical labels is usually cast as a flat multi...journal article 2024
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Koster, Gabriela (author)Lowering energy demand in buildings is high on the political agenda considering household energy consumption accounts for 22% of the total final energy usage in the Netherlands. Tools that can run these types of simulations for an entire city are required for effective policy design to lower energy consumption within the built environment. This...master thesis 2024
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van Leeuwen, Sander (author)Language is an intuitive and effective way for humans to communicate. Large Language Models (LLMs) can interpret and respond well to language. However, their use in deep reinforcement learning is limited as they are sample inefficient. State-of-the-art deep reinforcement learning algorithms are more sample efficient but cannot understand...master thesis 2023
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van der Vliet, Willem (author)Digital twins (DTs) are a common way for city planners and citizens alike to visualize the impact of new policy decisions, simulate scenarios, and plan for disasters. The more detail these DTs have, the more useful they can be. Windows and doors, also known as building openings, are a critical detail missing in Amsterdam’s DT. While previous...master thesis 2023
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Alaka, Shaad (author)Virtual worlds are rapidly increasing in size, enabled by advancements in computing technology, which puts a large burden on designers creating them.<br/>Procedural Content Generation can help alleviate this burden, though lacks precise control, to the detriment of designer intent. Some PCG algorithms, such as Wave Function Collapse (WFC), known...master thesis 2023
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Panagiotidou, Ioanna (author)This thesis introduces a Learned-Based Multi-View Semantic Stereo method, addressing the limitations of traditional and learned-based Multi-View Stereo (MVS) techniques in reconstructing reflective and low-textured regions, particularly prevalent in 3D models of buildings. Traditional methods lack completeness, while learned-based methods...master thesis 2023
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Tilro, Jesse (author)Reusable tools for engineering software languages can bridge the gap between formal specification and implementation, lowering the bar for engineers to design and implement programming languages. Among such tools belong NaBL2 and its successor Statix, which are meta-languages for declaratively specifying the static semantics of programming...master thesis 2023
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Therias, Adele (author)The production of cocoa beans contributes to 7.5% of European Union (EU) driven deforestation. For this reason, the recent European Union Deforestation-free Regulation (EUDR) requires producers to perform comprehensive tracking of cocoa farm extents. However, cocoa crops present unique detection challenges due to their complex canopy structure,...master thesis 2023
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Wei, Wei (author)Active learning has been proposed as a solution to mitigate the expensive and time-consuming process of annotating large-scale autonomous driving datasets. The process typically involves a model initialization phase, followed by multiple iterations aiming at selecting the most informative data based on the initial model. However, we find two...master thesis 2023
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Lemaire, Chris (author)For algebraic effects and handlers, we know both small-step and big-step operational semantics and we are familiar with denotational semantics. But, what is missing is a structured showing that one is equivalent to the other. On top of this, most efficient implementations of algebraic effects and handlers closely resemble their denotational...master thesis 2023
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Bruggink, Daan (author)Traversability estimation is a key component in autonomous driving tasks. In many applications, semantic segmentation is used to pixel-wise classify a visual scene. The pixel-wise segmented map is used to estimate the traversability of different environments. The semantic segmentation accuracy can drop if environmental conditions change. The...master thesis 2023
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Pena Pereira, Simon (author)Transforming the global energy sector from fossil-fuel based to renewable energy sources is key to limiting global warming and efficiently achieving climate neutrality. The decentralized nature of the renewable energy system allows private households to install photovoltaic (PV) systems on their rooftops. In this context, planning an efficient...master thesis 2023
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Kurteva, A.K. (author), Pandit, Harshvardhan J. (author)Protecting and preserving individuals’ personal data is a legal obligation set out by the European Union’s General Data Protection Regulation (GDPR). However, the process of implementing data governance to support that, in a decentralised ecosystem, is still vague. Motivated by the need for lawful decentralised data processing, this paper...conference paper 2023