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Oulad Si Omar, Marouan (author)
In this thesis a new efficient model has been developed in the thermal analysis of Laser Powder Bed Fusion, an Additive Manufacturing (or: 3D-printing) method that is used to manufacture metal products. During this process, a laser is used as a heat source to melt metal powder grains to each other, that are solidified when cooled down. In Laser...
master thesis 2024
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de Zeeuw, Quirine (author)
In their Distribution Centre (DC) in Maasdam, FrieslandCampina (FC) uses a four-crew shift schedule to prepare all necessary orders for their clients, 24 hours of each Monday to Saturday. Their large automated warehouse is home to 10 000 pallet places, containing fresh dairy products. From here, orders are either prepared as full pallets,...
master thesis 2024
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Pimpalkar, Adhiraj (author)
Wire arc additive manufacturing (WAAM) is attributed to higher material deposition rates and medium to large build volumes. Integration of multi-axis (more than three) material deposition kinematics in WAAM can bring a paradigm shift in the metal additive manufacturing industry. The material build-up mechanism employing directed energy...
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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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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Tanmeet Kaur, Tanmeet (author)
This thesis describes the implementation of a phase-domain readout system for a thermal-diffusivity (TD) based temperature sensor. Such sensors measure the phase shift of an electro-thermal filter (ETF), which exhibits a near-linear dependency on absolute temperature. The phase shift is measured by a phase-domain delta-sigma modulator (PD-DSM)....
master 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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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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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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Shokolarov, Aleksandar (author)
The estimation of optical flow, which determines the movement of objects in a visual scene, is a crucial problem in computer vision. It is essential for applications such as autonomous navigation, where precise motion estimation is critical for performance and safety.<br/><br/>Frame-based cameras capture sequences of still images at regular...
master thesis 2024
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