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Zoutendijk, M. (author)
The aerospace industry annually provides transport for billions of passengers along trillions of kilometers. The industry is continuously aiming to provide these services in a more efficient and sustainable way. One possibility is to consider improving airside airport operations, both current types and those expected in the near future....
doctoral thesis 2024
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Yousefzadeh, B. (author)
Temperature greatly affects the performance of integrated circuits, and so temperature sensors are often necessary to ensure reliable operation and stable performance. The goal of the work described in this thesis is to realize a temperature sensor in CMOS technology that can be produced at low cost. In the first step, a temperature sensor is...
doctoral thesis 2024
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de Haas, Lyanne (author)
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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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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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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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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Kuhm, T.I. (author)
doctoral thesis 2024
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Goel, Saransh (author)
This research investigates the impact of multipath signals in UWB communications and explores their potential to improve localization accuracy of tags using the additional information captured in the Channel Impulse Response (CIR). While traditional localization typically relies on multiple anchors, this study focuses on using a single anchor...
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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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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Singh, A. (author)
Conventional computing systems involve physically separated storing and processing units. To perform the processing, data is shuttled from the storing unit to the processing unit followed by the actual processing, and the processed data is shuttled back into the storing unit. Unfortunately, this data shuffling contributes significantly to the...
doctoral thesis 2024
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van Dijk, M.P. (author)
From the perspective of wheelchair sports practice, there is a growing need to provide feedback on power output. Power can be used to monitor athletes' fitness and fatigue levels, thereby preventing overtraining and potential injuries, to individualize and analyze training programs, and it is also an objective measure of effort or intensity....
doctoral thesis 2024
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Wang, R. (author)
Federated Learning (FL) is a revolutionary approach to machine learning that enables collaborative model training among multiple parties without exposing sensitive data. Introduced by Google in 2016, FL taps into the wealth of data generated by edge devices while prioritizing user privacy and minimizing communication costs. Its applications span...
doctoral 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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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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Bollen, C.J.M. (author)
We have a general idea of what the term empathy refers to. We typically use the concept in a normative way - to express appreciation, concern, value, risks, etc, - with regard to how we relate to one another. However, the exact meaning of the concept is far from agreed upon. As such, it actually is unclear whether and how we can fairly use this...
doctoral thesis 2024
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Yin, Ying (author)
Transpiration is a crucial flux in greenhouses that directly affects plant growth. However, there are currently no direct measurements available. Sap flow is the most widely used method for quantifying transpiration, and calibration can enhance the accuracy of these estimates. Despite the existence of numerous recommendations for applying sap...
master thesis 2024
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