Searched for: subject%3A%22Networking%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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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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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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Krijgsman, Floris (author)
Supercritical CO<sub>2</sub> (SCO<sub>2</sub>) is a promising alternative to traditional working fluids in heat pumps and power cycles due to its high density, thermal efficiency, and stability. These properties allow for the design of more compact and efficient equipment. However, accurately modeling supercritical heat transfer, especially near...
master thesis 2024
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Usa, Lyana (author)
Olfactory learning in <i>Drosophila </i>larvae exemplifies efficient neural processing in a small-scale network with minimal power consumption. This system enables larvae to anticipate important outcomes based on new and familiar odor stimuli, a process crucial for survival and adaptation. Central to this learning mechanism is the olfactory...
master thesis 2024
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Schilder, Connor (author)
Background: Genetic information is shared between different bacteria through mobile genetic elements, among which plasmids. Some plasmids are able to transfer and spread genetic information between different species. Understanding which genes allow plasmids to replicate in different species is useful in containing the antibiotic resistance...
master thesis 2024
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Corvi, Giovanni (author)
The rapidly growing volume of parcel shipments is straining transportation and logistics sectors, highlighting the need for innovative solutions to optimize packing and loading processes. The online bin packing problem (BPP), an NP-hard computational problem, finds practical applications in numerous sectors, including modern packaging and...
master thesis 2024
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Nair, Ruben (author)
Mixed-integer optimization problems, incorporating both discrete and continuous variables, present unique challenges across various domains such as computer science, finance, logistics, and healthcare. Evolutionary Algorithms (EAs) have emerged as powerful optimization techniques capable of tackling such complex problems in either the discrete...
master thesis 2024
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Cisneros Acevedo, Daniel (author)
Recent advancements in deep learning for aircraft engine fault detection have been predominantly focused on research using simulated datasets. Despite significant progress, the gap between simulated and real-world data underscores a pressing need for models that are more applicable and adaptable to the aerospace industry. This discrepancy stems...
master thesis 2024
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Raftopoulou, M. (author)
Following the trend of previous years, the number of devices, and hence the traffic in cellular networks is increasing. Moreover, new applications with stringent requirements are envisioned. Examples of such applications include collaborative learning and coverage extension with drones. To accommodate the traffic with its respective Quality of...
doctoral thesis 2024
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Zdziarska, Kika (author)
This project presents a response to the pressing issue of women's safety in public spaces, particularly in Latin American cities. Women worldwide are disproportionately affected by safety issues and fear in urban environments. I explore ways in which public spaces can enhance perceptions of safety and freedom instead. Based on extensive four...
master thesis 2024
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Rubio Agulló, Carlota (author)
The Dutch government's 2050 initiative to transition all buildings from natural gas to sustainable heat systems underscores the critical role of stakeholder alignment in energy transition projects. Despite its importance, existing literature lacks a comprehensive analysis of the mechanisms required for effective stakeholder collaboration in heat...
master thesis 2024
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Budel, G.J.A. (author)
Networks are becoming ever more important in today's highly interconnected society, from telecommunication networks and social networks to power grids and the Internet. The field of Network Science seeks to uncover structure within the complex topologies of networks and the processes that govern their link formation. Many methods and models in...
doctoral thesis 2024
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Potter, George (author)
Learning new concepts is a difficult task for autonomous robots. These robots can adapt to changes in the situations. To adapt to a situation, they should be able to determine the usefulness of objects around them. The usefulness of objects is highly dependent on situational context, making pre-programming of adaptation behaviour to all possible...
master thesis 2024
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Poggione Garcia, A. (author), van der Meer, Brenda (author), van der Meer, Harma (author), Bange, Rein (author), Klootwijk, R. (author)
The emission of CO2 is a significant contributor to global warming, with the mobility sector being a major source. The EU has set a goal to achieve climate neutrality by 2050, requiring substantial CO2 reduction efforts, particularly in densely populated regions like the Rhine-Delta (RDR). This region’s extensive mobility network, serving both...
student report 2024
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Stokkink, Q.A. (author)
The digital world is evolving toward representing - and serving the interconnection of - natural persons. Instead of depending on the intrastructure of Big Tech companies and governments, users can cooperate and use their hardware to form public infrastructure. Instead of existing by virtue of a reference in some institution's database, users...
doctoral thesis 2024
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