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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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Câmara, Arthur (author)
At the core of Search-as-Learning (SAL), as a sub-field of Interactive Information Retrieval (IIR), is exploring how people use search engines to acquire knowledge. Inherently interactive, the knowledge acquisition process via a search system involves learners posing queries, analyzing content, and incorporating novel knowledge. Being this...
doctoral thesis 2024
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Yu, W. (author)
We are surrounded by all kinds of sounds at all times. What we hear varies with the physical environment and our position. Room impulse responses (RIRs) characterize the effect of the environment on a sound produced by a source. A first goal of this dissertation is to analyze RIRs and investigate how to extract environmental information from...
doctoral thesis 2024
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Hejderup, J.I. (author)
Developers strategically reuse code to expedite project development and lower maintenance costs. With the advent of software supply chains, integrating open-source libraries into projects has transitioned from a cumbersome, manual task to an automated, streamlined process. However, this ease of integration has downsides; adding just one library...
doctoral thesis 2024
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Nefs, Merten (author)
By combining different perspectives and methods of empirical research, this PhD thesis<br/>generates multi-disciplinary insights into the rise of the logistics complex and its planning<br/>discourse whilst focusing specifically on XXL distribution centres (DCs) in the Netherlands.<br/>Since the 1980s, the building footprint of this complex has...
doctoral thesis 2024
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Siebinga, O. (author)
Automated driving technologies offer significant societal benefits but face challenges, particularly in interactions between automated and human-driven vehicles during lane changes and merging on highways. This thesis addresses this issue by focusing on joint driver efforts and proposes a new Communication-Enabled Interaction (CEI) model...
doctoral thesis 2024
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Swart, Mik (author)
Climate change is a pressing issue. Hydrogen aircraft are an excellent alternative to current kerosene aircraft, and appear to be the most viable long-term solution for net-zero flight. One of the main challenges for hydrogen aircraft is to sustain a low boil-off rate. This research explores the solution of active cooling of the LH2 mixture in...
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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Floris, Mihnea (author)
<br/>This research contributes to addressing climate change challenges through the examination of hydrogen combustion. It investigates the flow dynamics within a simplified model of Ansaldo Energia's GT36 reheat combustor using Large Eddy Simulation (LES) at a high pressure of 20 bar, focusing on the autoignition flashback phenomena observed....
master thesis 2024
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van den Berg, Kees (author)
Steerable medical instruments are used to reach difficult locations in the body during minimally invasive surgery (MIS). Researching these instruments helps to further improve their performance and reduce their size making them even less invasive. However, developing new technology can be expensive and often complete custom test rigs are build...
master thesis 2024
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Chung, Chris (author)
Loss-of-Control (LoC) is the primary cause of drone crashes, necessitating efficient onboard prevention systems that are effective in terms of sensor requirements, computing power, and memory. This study introduces a data-driven approach for detecting LoC in quadrotors, using Critical Slowing Down (CSD) theory as an Early Warning Signal (EWS) of...
master thesis 2024
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Kulaksızoğlu, Efe (author)
master thesis 2024
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Ren, Yining (author)
Recent advancements in artificial intelligence (AI), particularly in deep learning, have significantly enhanced AI capabilities but have also led to more complex and less interpretable algorithms. This research addresses the challenge of Explainable AI (XAI) by focusing on enhancing the interpretability of AI decisions through the use of...
master thesis 2024
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Ali, W. (author)
Deep-sea mining Industry and academia are presently investigating the potential of deep-seamining for valuable resources such as poly-metallic nodules. Nevertheless, the process of manoeuvring, excavating, and processing these resources poses a threat to the deep-sea environment through the generation of plumes of suspended fine-grained solids,...
doctoral thesis 2024
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Koetzier, Lennart (author)
Motivation: Effective management of liver tumors through thermal ablation requires precise monitoring of the ablation zone to ensure successful treatment outcomes. Computed tomography (CT) thermometry offers a promising non-invasive solution to monitor if tumor cells have been heated to the lethal temperature threshold. However, achieving...
master thesis 2024
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Kalender, Deniz (author)
Research on hangar parking is scarce and either neglects or oversimplifies towing considerations. In this paper, a novel approach is presented that integrates towing operations as a fundamental aspect of the hangar parking optimization, and uniquely focuses on minimizing towing operations. For the method, two A* adaptations, Dynamic State A* and...
master thesis 2024
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Haaksman, V.A. (author)
The development of the aerobic granular sludge (AGS) technology for the retrofit of existing continuous-flow reactors (CFRs) of wastewater treatment plants (WWTPs) using conventional activated sludge (CAS) has garnered increasing interest over the past decade, following the worldwide adoption of AGS technology in sequencing batch reactors (SBRs)...
doctoral thesis 2024
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Liu, X. (author)
Deep learning is the core algorithmic tool for automatically processing large amounts of data. Deep learning models are defined as a stack of functions (called layers) with millions of parameters, that are updated during training by fitting them to data. Deep learning models have show remarkable accuracy gains on visual problems in video and...
doctoral thesis 2024
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Thielen, Jaimy (author)
The aviation industry requires continuous reductions in greenhouse gas and noise emissions, which is resulting in a shift towards hybrid and fully electric aircraft. The propeller is an attractive form of propulsion system for electric aircraft as it can achieve high efficiencies and has excellent scalability potential. However, a major concern...
master thesis 2024
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Stam, Noah (author)
Neglecting actuator dynamics in nonlinear control and control allocation can lead to performance degradation, especially when considering fast dynamic systems. This thesis provides a novel method to account for actuator dynamics in the control allocation solution, dynamic incremental nonlinear control allocation, or D-INCA. The incremental...
master thesis 2024
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