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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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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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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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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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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 der Lingen, Kevin (author)
The emergence of innovative construction materials is dawning a new era of ambition within the civil engineering community. Among these innovative materials, Basalt Fibre Reinforced Polymer (BFRP) has recently surfaced with promising potential as a reinforcing material in concrete. Currently, in the Dutch concrete construction industry, the...
master thesis 2024
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Bal, Lennard (author)
In October 2023 congestion is issued in the HIC Rotterdam. As a result businesses can no longer establish, expand or electrify. A potential solution to free up grid capacity is that of an energy hub. This study evaluates future scenarios for the development of an industrial energy hub by utilising the EMA method. A study is done on the details...
master thesis 2024
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Plămădeală, Dan (author)
Software development often relies on dependencies managed by package managers to simplify the integration of external libraries and frameworks, reducing development time. However, developers sometimes choose to bundle dependencies directly within their software packages. Bundling dependencies means including all necessary third-party frameworks...
master thesis 2024
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Mortier, Lucas (author)
Re-refined Engine Oil Bottoms (REOB) are a waste product from the re-refining process of waste engine oil. There is a large incentive in the world to produce recycled engine oil and the production of REOB in this process is increasing. On the other hand refineries are going through transitions due to economic and regulatory reasons (i.e. IMO...
master thesis 2024
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van Velden, Joran (author)
In this study, a promising design for a compact, ultra-linear Compliant Torsion Reinforced Sarrus mechanism (CORS), capable of achieving ultra-linear motion is presented. The CORS prototype, made entirely of aluminum, is produced monolithically using electric discharge machining (EDM). The design incorporates four torsion-reinforced folded leaf...
master thesis 2024
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Loeffen, Betsie (author)
Dutch municipalities are striving for a better connection with their residents and increased mutual trust. Nevertheless, the voice of youth is often overlooked in this process, despite their right to be heard in policies and decisions that affect their lives. This is reinforced by bureaucratic institutions primarily focusing on executing tasks,...
master thesis 2024
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Gupta, Pranshul (author)
Composite materials have revolutionized the world as we know it, but along the way, we have transformed that world, which is changing and suffering from global warming. This thesis explores the potential of bio-based resins for high-performance composite applications, focusing on a bio-based epoxy derived from brown algae, PHTE. The research...
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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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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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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