Searched for: subject%3A%22Embedded%22
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Makrodimitris, S. (author), Pronk, I.B. (author), Abdelaal, T.R.M. (author), Reinders, M.J.T. (author)
Multi-omic analyses are necessary to understand the complex biological processes taking place at the tissue and cell level, but also to make reliable predictions about, for example, disease outcome. Several linear methods exist that create a joint embedding using paired information per sample, but recently there has been a rise in the...
review 2024
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Zimmerling, J.T. (author), Druskin, Vladimir (author), Guddati, Murthy (author), Cherkaev, Elena (author), Remis, R.F. (author)
We present a reduced-order model (ROM) methodology for inverse scattering problems in which the ROMs are data-driven, i.e. they are constructed directly from data gathered by sensors. Moreover, the entries of the ROM contain localised information about the coefficients of the wave equation. We solve the inverse problem by embedding the ROM in...
journal article 2024
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Cavalcante, Túlio de M. (author), Castiel Reis de Souza, A. (author), Hajibeygi, H. (author), Carvalho, Darlan K.E. (author), Lyra, Paulo R.M. (author)
The modeling of fluid flow in heterogeneous, anisotropic and fractured porous media is relevant in many applications, including hydrocarbon and groundwater extraction, dispersion of contaminants, hydrogen or carbon dioxide (CO<sub>2</sub>) storage. Thus, accurate and scalable simulation of fluid flow through these formations continues to be a...
journal article 2024
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de Winkel, J. (author)
The ecological impact of today’s battery-powered Internet of Things (IoT) is troubling. Technology advancements that reduce the reliance on batteries could blunt the environmental impact of the projected billions of IoT devices. With the emergence of low-cost, small, and high-performance microcontrollers, along with more efficient micro-energy...
doctoral thesis 2023
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Kortbeek, V. (author)
The Internet of Things (IoT) is taking the world by storm, from smart lights to smart plant monitoring. This revolution is not only present in consumers’ homes, but companies are also looking for more and more ways to monitor every aspect of their production process. This transition to ubiquitous monitoring is made possible by extremely low...
doctoral thesis 2023
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Xiao, Y. (author), Rans, C.D. (author), Zarouchas, D. (author), Benedictus, R. (author)
Embedding fiber optic sensors (FOSs) within parts for strain measurement is attracting widespread interest due to its great potential in the field of structural health monitoring (SHM). This work proposes a novel method of embedding FOSs using capillaries within solid structures and investigates fiber positions and orientation uncertainties...
journal article 2023
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Crevels, Eric (author), Mejia Hernandez, J.A. (author)
The study of built objects has always played a key role in the education of the architect. At the earliest stages of training most of us sat in front of buildings and drew them, trying to capture their overall features and minute details. What appears simple is, in fact, an extremely meaningful exercise. It presumes that drawing an existing...
report 2023
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Dow, Alan (author), Hart, K.P. (author), van Mill, J. (author), Vermeer, J. (author)
We present examples of realcompact spaces with closed subsets that are C*-embedded but not C-embedded, including one where the closed set is a copy of N. <br/>
journal article 2023
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Riccioli, F. (author), Huijer, A.J. (author), Grasso, Nicola (author), Rizzo, Cesare M. (author), Pahlavan, Lotfollah (author)
Measurement of transient pressure distribution on maritime structures is important for the assessment of the hydrodynamic loads applied. The commonly used pressure sensors are mostly bulky, need to be bolted to the structure, and/or only provide point-wise measurements. In this paper, an elastic matrix layer with a network of embedded...
journal article 2023
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Tepeli, Y.I. (author), Seale, C.F. (author), P. Gonçalves, Joana (author)
Motivation<br/><br/>Anti-cancer therapies based on synthetic lethality (SL) exploit tumour vulnerabilities for treatment with reduced side effects, by targeting a gene that is jointly essential with another whose function is lost. Computational prediction is key to expedite SL screening, yet existing methods are vulnerable to prevalent selection...
journal article 2023
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Onat, N.B. (author), Roldan Montero, I. (author), Fioranelli, F. (author), Yarovoy, Alexander (author), Aslan, Y. (author)
Efficient prediction of embedded element patterns (EEPs) is including the mutual coupling (MC) effects in the optimization of irregular planar arrays is studied for the first time in the literature. An ANN-based methodology is used to predict the pattern of each element in the whole visible space for a flexible planar array topology in...
conference paper 2023
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Qin, Xi (author), Zhong, Cheng (author), Lin, H.X. (author)
Influence maximization (IM) is a very important issue in social network diffusion analysis. The topology of real social network is large-scale, dynamic, and heterogeneous. The heterogeneity, and continuous expansion and evolution of social network pose a challenge to find influential users. Existing IM algorithms usually assume that social...
journal article 2023
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Volakos, Efstratios (author), Davis, Chris (author), Teich, Martien (author), Lenk, Peter (author), Overend, M. (author)
Embedded load-bearing laminated glass connections have gained popularity in recent years due to their mechanical performance and aesthetic appeal. However, there is a paucity of data on their structural behaviour across a range of temperatures that may arise in building applications and there is also no simplified mechanics-based model for...
journal article 2023
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van der Lans, Daan (author), Amoozandeh, A. (author), Radaelli, G. (author)
This paper presents a novel shape morphing concept, which exploits neutral stability to achieve reversible shape morphing. The concept is based on actively changing the material stiffness on a local level in order to perturb the neutral stability and thus induce the shell to deform. This concept is realized by embedding Ni-Ti wires in a...
journal article 2023
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Hutiri, Wiebke (author), Ding, Aaron Yi (author), Kawsar, Fahim (author), Mathur, Akhil (author)
Billions of distributed, heterogeneous, and resource constrained IoT devices deploy on-device machine learning (ML) for private, fast, and offline inference on personal data. On-device ML is highly context dependent and sensitive to user, usage, hardware, and environment attributes. This sensitivity and the propensity toward bias in ML makes...
journal article 2023
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Jiang, Weiwei (author), Wang, C.W. (author), Sarsenbayeva, Zhanna (author), Irlitti, Andrew (author), Wei, Jing (author), Knibbe, Jarrod (author), Dingler, Tilman (author), Goncalves, Jorge (author), Kostakos, Vassilis (author)
We present a fully-printable method to embed interactive information inside 3D printed objects. The information is invisible to the human eye and can be read using thermal imaging after temperature transfer through interaction with the objects. Prior methods either modify the surface appearance, require customized devices or not commonly used...
journal article 2023
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Liu, C. (author), Xu, Y. (author), van Kampen, E. (author), de Croon, G.C.H.E. (author)
In this paper, we propose an obstacle avoidance solution for a 34-gram quadcopter equipped with a monocular camera. The perception of obstacles is tackled by a lightweight convolutional neural network predicting a dense depth map from a captured grey-scale image. The depth network performs self-supervised learning and thus requires no ground...
journal article 2023
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Hosseinimehr, S.M. (author), Piguave Tomala, Janio (author), Vuik, Cornelis (author), Al Kobaisi, Mohammed (author), Hajibeygi, H. (author)
We present the projection-based embedded discrete fracture model (pEDFM) for hexahedral corner-point grid (CPG) geometries, for the simulation of hydrothermal processes in fractured porous media. Unlike the previously-developed pEDFM for structured box grids, our new development allows for the modeling of complex geometries defined with...
journal article 2022
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Fernández Robledo, O. (author), Zhan, X. (author), Hanjalic, A. (author), Wang, H. (author)
Multiple network embedding algorithms have been proposed to perform the prediction of missing or future links in complex networks. However, we lack the understanding of how network topology affects their performance, or which algorithms are more likely to perform better given the topological properties of the network. In this paper, we...
journal article 2022
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van Iersel, L.J.J. (author), Jones, M.E.L. (author), Weller, Mathias (author)
Given a rooted, binary phylogenetic network and a rooted, binary phylogenetic tree, can the tree be embedded into the network? This problem, called Tree Containment, arises when validating networks constructed by phylogenetic inference methods. We present the first algorithm for (rooted) Tree Containment using the treewidth t of the input...
conference paper 2022
Searched for: subject%3A%22Embedded%22
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