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Zolfaghari, Mehrad (author), Kani, Alireza (author), Azarsina, Farhood (author)
conference paper 2024
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Duda, Dominik Felix (author), Fuest, Hendrik (author), Islam, Tobias (author), Moormann, Dieter (author)
conference paper 2024
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Castro-Fernández, Iván (author), Cini, Andrea (author), Cavallaro, Rauno (author), Iboleón-Azcona, Álvaro (author), Gisbert-Calvo, Miguel (author), Sánchez-Arriaga, Gonzalo (author)
conference paper 2024
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Elhesasy, Mohamed (author), Dief, Tarek N. (author), Kamra, Mohamed (author), Okasha, Mohamed (author), Alnuaimi, Saeed K. (author), Schmehl, Roland (author)
conference paper 2024
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Moino, Andrea (author), Trebbi, Andrea (author), Trombini, Sofia (author)
conference paper 2024
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Veers, Paul (author)
conference paper 2024
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Ringelhan, Franz (author)
conference paper 2024
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Diab Montero, H.A. (author)
In this dissertation, I explore ensemble data assimilation methods to enhance our capability to forecast earthquakes and slow slip events, focusing on the critical challenge posed by limited information on the current stress state of faults. <br/>At the outset, the research acknowledges the inherent limitations in our current understanding of...
doctoral thesis 2024
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Hesam Mahmoudi Nezhad, N. (author)
The design of electrostatic charged particle lenses involves changing many geometrical parameters of the lens electrodes as well as changing the voltages at each lens electrodes. The objective of the design is often to get the electrons passing through the lens system to be focused at a specific point and to minimize the aberrations of the lens....
doctoral thesis 2024
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Splitthoff, L.J. (author)
Superconducting circuits in cryogenic environments form an excellent material platform for the realization and study of quantum systems. <br/>In this thesis, we continue the exploration of novel types of circuit elements which expand the circuit quantum electrodynamics toolbox to enable exotic, and potentially better circuit implementations. To...
doctoral thesis 2024
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Abbady, Hnady (author)
Expansion microscopy (ExM) is a new approach to super-resolution that relies on the physical isotropic expansion of a sample in a swellable polymer network. We developed a novel ExM method termed Sevenfold Post-labelling Expansion Microscopy (SP-ExM) that enables sevenfold expansion in a single step of thick cerebellar mouse brain and human...
master thesis 2024
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Dawe, Alon (author)
master thesis 2024
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van der Ham, Grianne (author)
The main focus of this thesis is on a thin glass sandwich panel combined with a three-dimensional printed core pattern. The core pattern provides stiffness to the panel, but it also influences the daylight transmission. The goal of this research is to design a façade system which can dynamically improve the daylight performance, effectively...
master thesis 2024
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Wang, W. (author)
This thesis explores advanced computational techniques in super-resolution microscopy (SRM), with the primary goal of pushing the limits of achievable resolution towards the 1 nm scale. It includes developments in particle fusion algorithms, data analysis of complex biological structures, and exploration of the impact of molecular dipole...
doctoral thesis 2024
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Nanhekhan, Kevin (author)
Amidst the rampant spread of misinformation, fact-checking of diverse claims made on the internet has become a pertinent task to mitigate this problem. Manual fact-checking cannot scale up with this demand and is very cumbersome, therefore instead automated fact-checking can be used. However, existing work has primarily focused on the fact...
master thesis 2024
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van der Ende, Dyon (author)
The internet is a system that was introduced over 30 years ago and has taken over the world since then. Connecting over 5 billion people is possible thanks to the global scale that the internet operates at. While the advantages are unmistakable, we must also acknowledge that the internet is a large contributor to the emission of greenhouse...
master thesis 2024
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Anton, Mihai (author)
In large-scale ML, data size becomes a critical variable, especially in the context of large companies, where models already exist and are hard to change and fine-tune. Time to market and model quality are essential metrics, thus looking for ways to select, prune and augment the input data while treating the model as a black box can speed up the...
master thesis 2024
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Dundulis, Tomas (author)
The concept of Distributed Electric Propulsion (DEP) aircraft holds great promise in achieving the goals outlined in Flightpath 2050. This involves utilizing electricity to power propellers and enhancing overall flight performance through interactions between the wings and propellers. This thesis investigates the stability and control aspects of...
master thesis 2024
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Long, Youyuan (author)
In Inverse Optimization (IO), it is hypothesized that experts, when making decisions, implicitly engage in solving an optimization problem. If we can reconstruct this optimization problem using the decision data of the expert, then the behavior of the expert can be emulated. In this thesis, a novel inverse optimization model, Kernel Inverse...
master thesis 2024
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van Kleef, Emma (author)
This research examines the resilience of the water sector after a societal collapse, defined by a significant loss of societal complexity. Through Exploratory Modeling and Analysis, this research evaluates how interconnected infrastructures respond to cascading failures caused by disruptions resulting from a societal collapse. The investigation...
master thesis 2024
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