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Egberts, G. (author), Vermolen, F.J. (author), van Zuijlen, Paul (author)Severe burn injuries often lead to skin contraction, leading to stresses in and around the damaged skin region. If this contraction leads to impaired joint mobility, one speaks of contracture. To optimize treatment, a mathematical model, that is based on finite element methods, is developed. Since the finite element-based simulation of skin...journal article 2023
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Ayala-Romero, Jose A. (author), Garcia-Saavedra, Andres (author), Costa-Perez, Xavier (author), Iosifidis, G. (author)Future mobile networks need to support intelligent services which collect and process data streams at the network edge, so as to offer real-time and accurate inferences to users. However, the widespread deployment of these services is hindered by the unprecedented energy cost they induce to the network, and by the difficulties in optimizing...journal article 2023
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Nadeem, A. (author), Verwer, S.E. (author), Yang, Shanchieh Jay (author)The evolving nature of the tactics, techniques, and procedures used by cyber adversaries have made signature and template based methods of modeling adversary behavior almost infeasible. We are moving into an era of data-driven autonomous cyber defense agents that learn contextually meaningful adversary behaviors from observables. In this chapter...book chapter 2023
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Kruse, N.C. (author), Fioranelli, F. (author), Yarovoy, Alexander (author)Due to numerous benefits, radar is considered as an important sensor for human activity classification. The problem of classifying continuous sequences of activities of unconstrained duration has been studied in this work. To tackle this challenge, a radar data processing method utilizing point transformer networks has been proposed. The method...conference paper 2023
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Alfrink, Kars (author), Keller, A.I. (author), Doorn, N. (author), Kortuem, Gerd (author)Local governments increasingly use artificial intelligence (AI) for automated decision-making. Contestability, making systems responsive to dispute, is a way to ensure they respect human rights to autonomy and dignity. We investigate the design of public urban AI systems for contestability through the example of camera cars: human-driven...conference paper 2023
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Kim, J. (author), Jonoski, Andreja (author), Solomatine, D.P. (author)Cyanobacterial blooms appear by complex causes such as water quality, climate, and hydrological factors. This study aims to present the machine learning models to predict occurrences of these complicated cyanobacterial blooms efficiently and effectively. The dataset was classified into groups consisting of two, three, or four classes based on...journal article 2022
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Overwater, R.W.J. (author), Babaie, M. (author), Sebastiano, F. (author)Quantum error correction (QEC) is required in quantum computers to mitigate the effect of errors on physical qubits. When adopting a QEC scheme based on surface codes, error decoding is the most computationally expensive task in the classical electronic back-end. Decoders employing neural networks (NN) are well-suited for this task but their...journal article 2022
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Bij de Vaate, I. (author), Martin, Ericka (author), Slobbe, D.C. (author), Naeije, M.C. (author), Verlaan, M. (author)In the Arctic Ocean, obtaining water levels from satellite altimetry is hampered by the presence of sea ice. Hence, water level retrieval requires accurate detection of fractures in the sea ice (leads). This paper describes a thorough assessment of various surface type classification methods, including a thresholding method, nine supervised-,...journal article 2022
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Hajee, Bram (author), Wisse, Kees (author), Mohajerin Esfahani, P. (author)Multi-sensor networks are becoming more and more popular in order to assess the post-occupancy performance of smart buildings, since they enable continuous monitoring with a high spatial resolution of the occupancy, thermal comfort and indoor air quality. An urgent, but poorly attended topic in this field is the automated detection of sensor...conference paper 2022
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Nicoletti, L.A. (author), Sirenko, M. (author), Verma, T. (author)Disparity in spatial accessibility is strongly associated with growing inequalities among urban communities. Since improving levels of accessibility for certain communities can provide them with upward social mobility and address social exclusion and inequalities in cities, it is important to understand the nature and distribution of spatial...journal article 2022
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Richardson, Benjamin A. (author), Vardar, Y. (author), Wallraven, Christian (author), Kuchenbecker, Katherine J. (author)Whenever we touch a surface with our fingers, we perceive distinct tactile properties that are based on the underlying dynamics of the interaction. However, little is known about how the brain aggregates the sensory information from these dynamics to form abstract representations of textures. Earlier studies in surface perception all used...journal article 2022
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Roy, E.I. (author), Pronk, Maarten (author), Agugiaro, G. (author), Ledoux, H. (author)Data on the number of floors is required for several applications, for instance, energy demand estimation, population estimation, and flood response plans. Despite this, open data on the number of floors is very rare, even when a 3D city model is available. In practice, it is most often inferred with a geometric method: elevation data is used...journal article 2022
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Janssens, M. (author), Hulshoff, S.J. (author)Data-driven parameterizations offer considerable potential for improving the fidelity of General Circulation Models. However, ensuring that these remain consistent with the governing equations while still producing stable simulations remains a challenge. In this paper, we propose a combined Variational-Multiscale (VMS) Artificial Neural...journal article 2022
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Dematties, Dario (author), Wen, C. (author), Zhang, Shi Li (author)Pulse-like signals are ubiquitous in the field of single molecule analysis, e.g., electrical or optical pulses caused by analyte translocations in nanopores. The primary challenge in processing pulse-like signals is to capture the pulses in noisy backgrounds, but current methods are subjectively based on a user-defined threshold for pulse...journal article 2022
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Barber, Sarah (author), Lima, Luiz Andre Moyses (author), Sakagami, Yoshiaki (author), Quick, Julian (author), Latiffianti, Effi (author), Liu, Y. (author), Ferrari, Riccardo M.G. (author), Letzgus, Simon (author), Zhang, Xujie (author), Hammer, Florian (author)In the next decade, further digitalisation of the entire wind energy project lifecycle is expected to be a major driver for reducing project costs and risks. In this paper, a literature review on the challenges related to implementation of digitalisation in the wind energy industry is first carried out, showing that there is a strong need for...journal article 2022
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Karkalousos, D. (author), Noteboom, S. (author), Hulst, H. E. (author), Vos, F.M. (author), Caan, M.W.A. (author)Objective. Machine Learning methods can learn how to reconstruct magnetic resonance images (MRI) and thereby accelerate acquisition, which is of paramount importance to the clinical workflow. Physics-informed networks incorporate the forward model of accelerated MRI reconstruction in the learning process. With increasing network complexity,...journal article 2022
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Chotkan, S.A. (author), van der Meij, Raymond (author), Klerk, Wouter Jan (author), Vardon, P.J. (author), Aguilar Lopez, J.P. (author)In this paper, we aim to identify factors affecting susceptibility to drought-induced cracking in levees and use them to build a machine learning model that can identify crack-prone levees on a regional scale. By considering the key relationship between the size of cracks and the moisture content, we observed that low moisture contents act as...journal article 2022
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Rittig, J. (author), Ritzert, Martin (author), Schweidtmann, A.M. (author), Winkler, Stefanie (author), Weber, J.M. (author), Morsch, Philipp (author), Heufer, Karl Alexander (author), Grohe, Martin (author), Mitsos, Alexander (author), Dahmen, Manuel (author)Fuels with high-knock resistance enable modern spark-ignition engines to achieve high efficiency and thus low CO<sub>2</sub> emissions. Identification of molecules with desired autoignition properties indicated by a high research octane number and a high octane sensitivity is therefore of great practical relevance and can be supported by...journal article 2022
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A Predictive–Proactive Approach for Slot Management of a Loading Facility With Truck ETA InformationPrakoso, Emanuel Febrianto (author), Maknoon, M.Y. (author), Pel, A.J. (author), Tavasszy, Lorant (author), Vanga, R. (author)Due to the uncertain and dynamic environment around scheduling systems, timely revisions or reschedules of the master plans are essential for achieving optimal utilization. With the recent development of Industry 4.0 technologies, many researchers perceive the creation of cyber-physical systems as a solution for managing systems under...journal article 2022
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Mohammadkarimi, M. (author), Dobre, Octavia A. (author), Win, Moe Z. (author)Existing wireless communication systems have been mainly designed to provide substantial gain in terms of data rates. However, 5G and Beyond will depart from this scheme, with the objective not only to provide services with higher data rates. One of the main goals is to support massive machine-type communications (mMTC) in the Internet-of-Things...journal article 2022