Searched for: subject%3A%22Networks%22
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Xu, J. (author)
Deep Neural Networks (DNNs) have found extensive applications across diverse fields, such as image classification, speech recognition, and natural language processing. However, their susceptibility to various adversarial attacks, notably the backdoor attack, has repeatedly been demonstrated in recent years. <br/>The backdoor attack aims to...
doctoral thesis 2025
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Huber, Katharina T (author), van Iersel, L.J.J. (author), Moulton, Vincent (author), Scholz, Guillaume E. (author)
In evolutionary biology, networks are becoming increasingly used to represent evolutionary histories for species that have undergone non-treelike or reticulate evolution. Such networks are essentially directed acyclic graphs with a leaf set that corresponds to a collection of species, and in which non-leaf vertices with indegree 1 correspond...
journal article 2025
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Schijvenaars, Sofie (author)
Globally, coastal communities face increasing risks from climate-related hazards such as flooding, shoreline erosion, and salt intrusion. These hazards pose threats to both people and their environment, with extreme sea level events increasing these risks. Satellite altimetry allows for global observation of the sea level, reaching remote...
master thesis 2024
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Jaspers, Jesse (author)
During this research, we investigate if there exists a k(n)-core in the scale-free configuration model, this is a commonly used null model to simulate networks. The scale-free configuration model produces a random graph, where the degree of every vertex is determined using a random variable. In this thesis, the discrete Pareto variable is used...
bachelor thesis 2024
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Verhoef, Willem (author)
Renewable hydrogen is seen as an important element of a future decarbonized European Union. To reach the European Union’s ambitious goals for renewable hydrogen, a framework for regulating its hydrogen transmission infrastructures has been proposed, shaping how hydrogen transmission capacity via pipelines should be made available throughout the...
master thesis 2024
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Koursiounis, Giorgos (author)
<div>Security researchers and industry firms employ Internet-wide scanning for information collection, vulnerability detection and security evaluation, while cybercriminals make use of it to find and attack unsecured devices. Internet scanning plays a considerable role in threat detection &amp; response, and cyber threat intelligence. We adopt a...
master thesis 2024
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Oude Elferink, Rens (author)
The autonomous vehicle industry has the potential to revolutionize the future of driving, making the understanding of vehicle-driver interactions crucial as we progress towards fully autonomous systems. Advanced Driver Assistance Systems (ADAS) are integral in this evolution, bridging the gap between automated and manual driving. Research...
master thesis 2024
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Ketelaar, Bas (author)
Artificial intelligence has a strong need for faster and more energy-efficient solutions, especially for computation performed at the sensor edge. On-chip photonic neural networks (PNNs) offer a promising solution for high speeds and energy efficiency. A less explored side of PNNs is their application to time-series data, which is often the case...
master thesis 2024
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O'Dwyer Wha Binda, Jahson (author)
With the increasing popularity of Large Language Models (LLMs), fine-tuning them has become increasingly computationally expensive. Parameter Efficient Fine-Tuning (PEFT) methods like LoRA and Adapters, introduced by Microsoft and Google, respectively, aim to reduce the number of trainable parameters, with the current state-of-the-art combining...
master thesis 2024
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Maćkowiak, Pawel (author)
The inability to check how our Internet traffic is being handled and routed poses all kinds of security and privacy risks. Yet, for the typical end-user, the Internet indeed is such a black box. This thesis, adheres to the call for an Internet that is more transparent, and as a step forward proposes a mechanism that carefully balances the desire...
master thesis 2024
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Irazoqui Ahlig, Diego (author)
Decarbonizing industrial processes by transitioning to carbon-neutral energy sources poses significant challenges for industrial operations. The integration of technologies such as Power-To-Heat (PtH) with electric boilers and furnaces, Power-To-Gas (PtG) facilities employing electrolyzers, variable speed drives for energy-intensive machinery,...
master thesis 2024
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Goudkuil, Bram (author)
The Overhead Catenary Line System (OCLS) is crucial for continuous electrical supply to trains in electrified railway networks. This article outlines the research conducted on the exploration of the sustainable design space of the Overhead Contact Line support structure on the main Dutch rail network. The research began with a comprehensive...
master thesis 2024
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Zou, L. (author)
Communications networks such as opportunistic mobile networks, vehicle networks, and social contact networks can be represented as temporal networks, where two cars or individuals are connected at a discrete time step if they are close to each other or interact with each other at that time step. These networks facilitate the propagation of...
doctoral thesis 2024
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Vos, Geert (author)
This research has aimed to investigate the possibility of applying a neural network algorithm into the structural design process of bascule bridge leaves, by creating a workflow in Grasshopper. The demand for this tool, originates from the fact that the current design process is experienced as linear and slow, and does not fit the dynamic design...
master thesis 2024
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Mathoera, Winand (author)
Amsterdam Airport Schiphol characterises itself as a major hub in Europe. Its network is not sustainable with only the Dutch catchment area. Instead, it relies on transfer passengers. When new tax regimes and policies are implemented to combat the environmental impacts of the airport, a change in passenger flows could affect Schiphol’s network...
master thesis 2024
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Keulen, D. (author)
Vaccination is a strong and effective way to prevent spreading of infectious diseases and promotes global health. In the future, the importance of vaccines is expected only to increase, driven by factors such as increased international traveling, higher healthcare expenditures, and a growing population. To meet the growing demands, it is...
doctoral thesis 2024
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Determan, Brendan (author)
The inspection of extensive and hard-to-access sewer systems is a challenging and expensive task. As these networks age and need to comply with stricter health and environmental regulations, the demand for effective inspection solutions has increased. The introduction of technologies like CCTV (closed-circuit television) and SSET (sewer scanner...
master thesis 2024
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Potijk, Emma (author)
Selecting the optimal stability framework for high-rise steel buildings is a critical decision that impact both economic efficiency and sustainability. This decision is not easy since there are many stability frameworks to choose from, such as tube, concrete shear-wall, and outrigger system. Designers and clients aspire to compare multiple...
master thesis 2024
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Gonzalez Martinez, Pablo (author)
This thesis explores the use of physics-informed neural networks (PINNs) to reconstruct the flow fields in a pool fire flame, a canonical configuration in non-premixed combustion. Due to the difficulty in obtaining adequate experimental characterizations of such flows, reacting flows like pool fires stand in need of novel methods capable of...
master thesis 2024
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Pasini, M. (author)
A large-scale quantum network, where many nodes are connected via entanglement and can share and process quantum information, will allow applications that are now unattainable. While some are known, ranging from distributed quantum computing to enhanced quantum sensing and quantum communication, the full potential of such a fundamentally new...
doctoral thesis 2024
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