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Joshi, Anuj (author)
When designing mechanical components, they commonly undergo multiple modeling phases for stress determination using analytical or numerical methods like the Finite Element Method (FEM). This is followed by experimental validation performed via stress mapping to identify and account for possible mechanical failure within the design phase. Among...
master thesis 2024
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Wang, Chenliangge (author)
Against the backdrop of the increasing maturity of connected automatic driving technologies and the gradually expanding market share of CAVs, this thesis explores the optimal traffic management strategies to cope with road closures in the context of Connected and Automated Vehicles (CAVs) and Intelligent Transportation Systems (ITS). <br/>A...
master thesis 2024
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Datta, Vijit (author)
The exponential growth in maritime trade during the 21st century has posed notable challenges for container terminals, resulting in congestion and operational inefficiencies. This study delves into the efficacy of Amphibious Automated Guided Vehicles (AGVs) as an innovative remedy to tackle these issues and facilitate the shift towards...
master thesis 2024
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Brouwer, Lucie (author)
master thesis 2024
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Gielisse, Eveline (author)
The study emphasises the importance of understanding individuals' mode choice between train and car to reduce CO2 emissions. It addresses two significant gaps in the existing literature, focusing on the impact of detailed attitudes towards mode use over time and the impact of train travel time components on actual mode use. The study reveals...
master thesis 2024
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Iacoban, Paula (author)
Federated Learning (FL) is a decentralized machine learning approach that provides a privacy-friendly way of training models by keeping the datasets of participating parties private. Some challenges FL faces are the lack of incentives to encourage participation in the learning process, as well as preventing potential cyber attacks that tamper...
master thesis 2024
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Upadhyay, Pankaj (author)
Deep Neural Networks (DNNs) have revolutionized numerous computational fields, from image and speech recognition to autonomous driving and natural language processing. Yet, the substantial computational and energy requirements of DNNs, particularly Convolutional Neural Networks (CNNs), pose significant obstacles to their deployment on resource...
master thesis 2024
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Hogervorst, Eva (author)
Recently, the deficiency present in female-specific health has been emphasized.Knowledge and consequently treatments with regards to female-specific symptoms and chronic deceases have been lacking. Previous research has shown the opportunity of female health apps to decrease this discrepancy.<br/>Female health apps simultaneously contribute to...
master thesis 2024
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van der Wal, Nienke (author)
Introduction- The global incidence of thyroid cancer has risen significantly, prompting the development of innovative surgical techniques. Transoral thyroidectomy offers a scarless alternative, with the transoral endoscopic thyroidectomy vestibular approach (TOETVA) showing promising results. However, CO2 insufflation during TOETVA can lead to...
master thesis 2024
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Suresh, Aswin (author)
Wire arc additive manufacturing (WAAM) can create large parts, due to its high deposition rate. WAAM can be used to create functionally graded materials (FGMs) such as a strong core of high strength low alloy (HSLA) steel and corrosion-resistant cladding of austenitic stainless (AUS) steel. However, HSLA and AUS steel are dissimilar metals with...
master thesis 2024
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Walinga, Hielke (author)
The behavior of software systems can be modeled as state machines by looking at the log data from these systems. Conventional algorithms, such as L∗, however, require too much memory to process log data when it gets too large. These algorithms must first load all available data into memory, which is often way too much.<br/>The approach...
master thesis 2024
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de Haas, Lyanne (author)
master thesis 2024
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Koorn, Nathalie (author)
Dementia, characterized by a significant decline in cognitive abilities, encompasses various neurodegenerative disorders. This includes Alzheimer's disease (AD), frontotemporal dementia (FTD) and their clinical manifestation named primary progressive aphasia (PPA), mainly involving language difficulties. In general these diseases exhibit some...
master thesis 2024
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Frijlink, Tenzin (author)
The installation rate of offshore wind energy has to be quadrupled by 2030 to meet the green climate ambitions of European countries, but this growth is hindered by logistical challenges. Therefore, this study explores how two transportation and installation strategies, shuttling and feedering, affect the installation rate with the inclusion of...
master thesis 2024
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Kuipers, Seppe (author)
The Shack-Hartmann wavefront sensor is a widely-used device to measure the light wavefront. Cur- rently, the sensor is used as a gradient sensor, which is achieved by placing the microlens array in the plane conjugate to the deformable mirror and the aberration. The resulting spot pattern is then transformed into a gradient through the use of...
master thesis 2024
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Opstal, Anton (author)
The yachting industry is embracing sustainable practices in response to global environmental concerns, particularly those outlined in the Paris Agreement, which aim to reduce greenhouse gas emissions and limit global temperature increases. Although diesel engines are most commonly used in yachts and are a major contributor to greenhouse gas...
master thesis 2024
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Liu, Jingxian (author)
Dysarthric speech, characterized by articulation problems and a slower speech rate, shows lower automatic speech recognition (ASR) performance compared to normal speech. To improve performance, researchers often try to enhance dysarthric speech to be more like normal speech before passing it through an ASR trained on normal speech. In this...
master thesis 2024
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Agrawal, Tanuj (author)
Designing lightweight aircraft parts to improve fuel efficiency is crucial to meet the aviation sector’s goals of reducing CO2 emissions. However, it is also important to ensure that these lightweight parts have a lower CO2 footprint over their entire lifetime. Previous studies have successfully achieved this using topology optimization and low...
master thesis 2024
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Follis, Patrick (author)
Maximum Power Point Tracking (MPPT) is commonly used to optimize the power output of solar arrays for LEO satellites. Traditional MPPT techniques such as Perturb &amp; Observe often struggle when the satellite is rotating and the temperature and incident irradiance are rapidly changing. This scenario frequently occurs with miniaturized...
master thesis 2024
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Venkatesh, Vijay (author)
The global shift towards low-carbon and renewable energy sources, driven by climate concerns associated with fossil fuels, has positioned solar photovoltaics (PV) as a major alternative. With the increasing adoption of PV technologies, it is crucial to study various PV module types. This thesis focuses on the HyET Powerfoil, an amorphous silicon...
master thesis 2024
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