Searched for: subject%3A%22Regularity%22
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Weitzner, Eli (author)
This work seeks to expand on the research done previously by the WOODY group on the ability of vegetation as a form of wave damping. Specifically in this work, we are looking at pollard willow trees (Salix Alba) and the relationship between the motion of the object and the forces it can induce on the wave flow. This was done by testing a range...
master thesis 2023
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Verseput, Marien (author)
Magnetic resonance imaging (MRI) is a non-invasive tool to image the body’s anatomy and physiology, but suffers from long scan times. Compressed Sensing (CS) is used to accelerate MRI scans by incoherently taking fewer measurements and using a nonlinear optimization algorithm to image the undersampled data. Convex optimization techniques are...
master thesis 2023
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Scheer, Matthijs (author)
Across the Netherlands close to 70 prestressed concrete T-beam bridges with cast-in-between slabs and transverse prestressing built in the 60's and are still in service. The current code NEN-EN 1992-1-1+C2:2011 assesses the shear capacity more conservatively. In addition, the NEN-EN 1991-2+C1:2015 prescribes an increased traffic load. This...
master thesis 2023
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Van Houdenhoven, Robyn (author)
The intellectual disability population increased from 65.545 people in 2011 to 116.200 people in 2020. In other words, the population almost doubled in less than ten years' time. Interventions are required to be able to make sure everyone receives the needed care. Therefore, the causes for the growth should be further examined before any...
master thesis 2023
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Talsma, Lars (author)
Quantum computers can solve certain problems faster than classical computers, but they require many qubits to solve valuable problems. Distributed quantum computing provides a scalable approach to increasing the number of qubits by interconnecting small-capacity quantum devices, or quantum nodes. Entangled states shared between nodes, so-called...
master thesis 2023
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Thorpe, Matthew (author), van Gennip, Y. (author)
Neural networks have been very successful in many applications; we often, however, lack a theoretical understanding of what the neural networks are actually learning. This problem emerges when trying to generalise to new data sets. The contribution of this paper is to show that, for the residual neural network model, the deep layer limit...
journal article 2023
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Agresti, Antonio (author), Lindemulder, N. (author), Veraar, M.C. (author)
In this paper, we consider traces at initial times for functions with mixed time-space smoothness. Such results are often needed in the theory of evolution equations. Our result extends and unifies many previous results. Our main improvement is that we can allow general interpolation couples. The abstract results are applied to regularity...
journal article 2023
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Xu, Y. (author), Zhang, Xiao Zheng (author), Casalino, D. (author), Bi, Chuan Xing (author)
An inverse acoustic method is presented in this work, which allows to determine the spatial and temporal distribution of unsteady rotating forces from microphone array measurements. The method is based on the usage of a space–time regularization with a mixed norm. The proposed method can take advantage of a prior knowledge of the space–time...
journal article 2023
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Czechowski, A.T. (author), Piliouras, Georgios (author)
Non-convergence is an inherent aspect of adaptive multi-agent systems, and even basic learning models, such as the replicator dynamics, are not guaranteed to equilibriate. Limit cycles, and even more complicated chaotic sets are in fact possible even in rather simple games, including variants of the Rock-Paper-Scissors game. A key challenge...
journal article 2023
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Erol, A. (author), Generowicz, Bastian (author), Kruizinga, P. (author), Hunyadi, Borbala (author)
Functional ultrasound (fUS) is an emerging neuroimaging modality that indirectly measures neural activity by detecting fluctuations in local blood dynamics. fUS acquisitions typically rely on the use of a 1D array transducer, which records hemodynamic activity in a single plane. A new technique named swept-3D fUS imaging obtains a full 3D...
conference paper 2023
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Marino, Enzo (author), Flaschel, Moritz (author), Kumar, Siddhant (author), De Lorenzis, Laura (author)
We extend EUCLID, a computational strategy for automated material model discovery and identification, to linear viscoelasticity. For this case, we perform a priori model selection by adopting a generalized Maxwell model expressed by a Prony series, and deploy EUCLID for identification. The methodology is based on four ingredients: i. full...
journal article 2023
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Jansen, J.D. (author)
This note provides unregularized and regularized closed-form analytical expressions for the depletion-induced or injection-induced pre-slip Coulomb stresses in two-dimensional displaced dip-slip faults. The regularization serves to remove logarithmic singularities and jump-discontinuities in the unregularized formulation. The expressions are...
report 2023
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Agresti, A. (author)
This paper is concerned with the problem of regularization by noise of systems of reaction–diffusion equations with mass control. It is known that strong solutions to such systems of PDEs may blow-up in finite time. Moreover, for many systems of practical interest, establishing whether the blow-up occurs or not is an open question. Here we...
journal article 2023
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Chandrashekar, Rohan (author)
Humans make decisions when presented with choices based on influences. The Internet today presents people with abundant choices to choose from. Recommending choices with an emphasis on people's preferences has become increasingly sought. Grundy (1979), the first computer librarian Recommender System (RS), provided users with book recommendations...
master thesis 2022
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Madi, Mohamed (author)
High level decision making in Autonomous Driving (AD) is a challenging task due to the presence of multiple actors and complex driving interactions. Multi-Agent Reinforcement Learning (MARL) has been proposed to learn multiple driving policies concurrently to solve AD tasks. In the literature, multi-agent algorithms have been shown to outperform...
master thesis 2022
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Thalhammer, Marlene (author)
The active layer thickness has become an important indicator in climate change research as permafrost degradation has long been documented. The thawing of permafrost causes the release of greenhouse gases accelerating Arctic warming. Monitoring and quantifying spatial and temporal changes of the active layer are challenging but crucial for...
master thesis 2022
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Glasbeek, Arnoud (author)
In agricultural studies it is often important to predict the performance of genetically different plants. To make sure predictions are done well, it is necessary to make sure they are not influenced by effects of the field on which they are planted. These field effects or spatial effects are in practice often quite complicated and can be due to...
bachelor thesis 2022
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Koper ook geschreven Jansen, Melle (author)
A recommendation algorithm aims to predict the quality of a user's future interaction with certain items based on their previous interactions. As research progresses, these algorithms are becoming increasingly more complicated with the use of machine learning and neural networks. This paper looks into a more simple solution. The recommendation...
bachelor thesis 2022
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Zijlema, M. (author)
This paper provides a rationale for the commonly observed numerical efficiency of staggered C-grid discretizations for solving the inviscid shallow water equations. In particular, using the key concepts of nonstandard calculus, we aim to show that the grid staggering of the primitive variables (surface elevation and normal velocity components)...
journal article 2022
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Qian, N. (author), Chang, Guobin (author), Ditmar, P.G. (author), Gao, Jingxiang (author), Wei, Zhengqiang (author)
High-frequency and correlated noise filtering is one of the important preprocessing steps for GRACE level-2 products before calculating mass anomaly. Decorrelation and denoising kernel (DDK) filters are usually considered as such optimal filters to solve this problem. In this work, a sparse DDK filter is proposed. This is achieved by...
journal article 2022
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