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Warringa, Bob (author)
Modern manufacturing operations rely on accurate, real time data for efficient operation and control of the production process. Many small and medium sized enterprises (SMEs) still operate with legacy assets, limiting their access to a clear data picture. This thesis research and its design solutions help SMEs gain real time insights into their...
master thesis 2023
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Agahari, W. (author)
Data sharing through data marketplaces, which rely on a Trusted Third Party (TTP), can benefit businesses and society. However, many companies and consumers are increasingly reluctant to share data due to mounting concerns over data control and privacy. Emerging privacy-enhancing technologies (PETs) like Multi-Party Computation (MPC), which...
doctoral thesis 2023
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van Assen, Jorrit (author)
Recent developments in the capability and availability of small internet of things devices has meant that networked medical devices, like networked implants and wearable monitors, have become more widespread. This data is invaluable for solving pressing global healthcare concerns, like eectively monitoring and treating heart patients. The...
master thesis 2023
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Sitaram, Arnish (author)
Unsteady numerical simulation has been proven to be an essential tool for research. The quality of the results can be improved by using mesh adaptation. Mesh adaptation uses error indicators to refine the mesh in regions with high errors. The error indicators used are output errors with the most accurate output error estimation method being...
master thesis 2023
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GANAPATHY SUBRAMANIAN SANKARAN, RISHAB (author)
In the current environmental conditions, with the rise of sustainable finance concepts like Environmental, Societal and Governance (ESG), firms in the financial sector have found new ways to drive sustainable change. Banks in particular play a key role in promoting sustainable practices both within their organization and also have a significant...
master thesis 2023
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Karnani, Simran (author)
In recent years, there has been a growing interest among researchers in the explainability, fairness, and robustness of Computer Vision models. While studies have explored the usability of these models for end users, limited research has delved into the challenges and requirements faced by researchers investigating these requirements. This study...
master thesis 2023
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Wundsam, Alina (author)
There are more and more women who participate in sports on a professional level. The Olympic games in 1964, in Japan, have been the first ones where almost half of the athletes participating were female. But still, a lot of female athletes train based on what has worked for men. As in many other fields, there is a research data gap because...
master thesis 2023
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Stunnenberg, Kenneth (author)
Brain disorders in children pose significant challenges to their development, impacting cognition, speech, movement, and behavior. The uncertainty surrounding prognostic information at the time of diagnosis leaves families with numerous questions about the future. The Child Brain Lab at Erasmus MC Sophia Children's Hospital conducts IQ,...
master thesis 2023
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Lende, Knut Roar (author)
Linear Parameter-Varying (LPV) systems can be used as a bridge to extend the well studied model based control methods of Linear Time-Invariant systems to certain nonlinear systems. Despite significant attention in literature over the last two decades, finding an efficient global state space identification algorithm remains an open problem....
master thesis 2023
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Sharma, Anirvin (author)
Image data augmentation has been regarded as a reliable and effective way to increase the data available for training. With the advent and rise of Generative AI, generative data augmentation has been shown to realize even better gains in performance for downstream tasks. However, these performance gains are often the cause of "extra information"...
master thesis 2023
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van Laarhoven, Menno (author)
<br/>We expand on the framework by Korda and Mezic (2020) to construct eigenfunctions directly from data by exploiting the eigenfunction PDE, guaranteeing closure and eliminating the need for a prior data dictionary. <br/>The constructed models are extended to forced systems through the multi-step prediction error of a linear state-space model....
master thesis 2023
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de Fuijk, Dirk (author)
Adequate modeling of the unsteady aerodynamics during flow separation is critical for effective pilot training in Flight Simulation Training Devices. Over the years, a stall modeling method rooted in Kirchhoff's theory of flow separation has gained popularity due to its relative simplicity and suitability for parameter identification from flight...
master thesis 2023
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Vinatselas, Theodoros (author)
This thesis discusses the characterization of the undrained shear strength, S_u from the net cone resistance, q_net of clay in Dutch sites using Hierarchical Bayesian Modelling (HBM). The performance of the HBM is compared with the current practice methods of the site characterization which propose either the use of only site–specific...
master thesis 2023
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Bettini, Andrea (author)
This thesis presents an energy-conservative data-driven approach in modelling the closure terms of the Navier-Stokes equations casted through the Variational Multiscale (VMS) framework. For context, the VMS framework is applied in designing stabilised finite element methods for multiscale phenomena in which stability is not guaranteed. Under...
master thesis 2023
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Rahmani, kamran (author)
Navigating consequential decisions is a difficult task in and of itself, especially when they have a significant impact on one's life. This is especially true in the complex world of healthcare, where the importance of choices is magnified. The complexities of these issues can make it difficult for patients and their loved ones to effectively...
master thesis 2023
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Boonstra, Nils (author)
Hydropower is currently the largest renewable energy generation method worldwide, being the third overall after coal and natural gas, and providing 15% of global electricity. However, generation data regarding hydropower is scarce. If available, it mostly exists at national and annual level. Only limited generation data is available at plant...
master thesis 2023
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Will, Nicolas (author)
The transport sector is one of the most significant contributors to European GHG emissions and is expected to grow even further in the coming years. The target of the European Union to reduce transport-related GHG emissions by 55% by 2030 seems to be a challenging task, keeping in mind the projected growth rates of the sector. In order to...
master thesis 2023
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van Ede, Matthijs (author)
Classical RANS (Reynolds-Averaged Navier-Stokes) turbulence models have limited accuracy in the prediction of the flow over the wing-body geometry. Therefore, this work focuses on improving the prediction accuracy of the classical k-ω SST turbulence model for the junction flow by means of the data-driven method SpaRTA. In the SpaRTA methodology...
master thesis 2023
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Alonso Candau, Jaime (author)
One of the crucial aspects of BIM is the data rich environment connecting project information from different sub-sectors. (Mesároš et al., 2020). Therefore, developing models with consistent and trustworthy building data has gained significant importance in the industry. In contrast, incorrect or incomplete building data in a model could result...
master thesis 2023
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Caporalini, Luisa (author)
Digital Twin (DT) technology has transformed construction by creating virtual counterparts of real-world objects for improved project design and management. Integrating Building Information Modelling (BIM) with Game Engines (GEs) like Unity3D is crucial for effective DT implementation in construction. However, research in this area is limited,...
master thesis 2023
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