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Sun, Bingrong (author), Gong, Lin (author), Shim, J. (author), Jang, Kitae (author), Park, B. Brian (author), Wang, Hongning (author), Hu, Jia (author)
Real-world route navigation data indicate that nontrivial portion of drivers do not prefer the system-recommended best routes. Current navigation systems have simplified assumptions about drivers’ route choice preferences and do not adequately accommodate drivers’ heterogeneous route choice preferences, mainly because of: (i) difficulty in...
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
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Chen, Peiran (author), Calis, Metin (author), Wijkstra, Hessel (author), Huang, Pintong (author), Hunyadi, Borbala (author), Mischi, Massimo (author)
A cost-effective, widely available, and practical diagnostic imaging tool for prostate cancer (PCa) localization is still lacking. Recently, the contrast-ultrasound dispersion imaging (CUDI) technique has been developed for PCa localization by quantifying dynamic contrast-enhanced ultrasound (DCE-US) acquisitions. Tissue stiffness is an...
conference paper 2022
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De Carvalho Filho, L.M. (author), Sulis, P. (author)
Void street interfaces (VSIs) – building plinths with restricted visual interaction, accessibility, and public use – constitute an urban feature often associated with undermining the public domain, limiting free access and preventing interaction between social groups. Moreover, VSIs have been described as products of inequality designed to...
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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Bogaards, Fatih A. (author), Gehrmann, Thies (author), Beekman, Marian (author), van den Akker, E.B. (author), van de Rest, Ondine (author), Hangelbroek, Roland W.J. (author), Noordam, Raymond (author), Mooijaart, Simon P. (author), Reinders, M.J.T. (author)
The response to lifestyle intervention studies is often heterogeneous, especially in older adults. Subtle responses that may represent a health gain for individuals are not always detected by classical health variables, stressing the need for novel biomarkers that detect intermediate changes in metabolic, inflammatory, and immunity-related...
journal article 2022
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Alves Beirigo, B. (author), Schulte, F. (author), Negenborn, R.R. (author)
Current mobility services cannot compete on equal terms with self-owned mobility products concerning service quality. Because of supply and demand imbalances, ridesharing users invariably experience delays, price surges, and rejections. Traditional approaches often fail to respond to demand fluctuations adequately because service levels are,...
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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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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Verduzco, Alejandro (author), Páramo Balsa, Paula (author), Gonzalez-Longatt, Francisco (author), Andrade, Manuel A. (author), Acosta Montalvo, Martha Nohemi (author), Rueda, José L. (author), Palensky, P. (author)
This research paper presents a method that uses measurements of voltages angles, as provided by phasor measurement units (PMU), to accurately detect the sudden disconnection of a generation unit from a power grid. Results in this research paper have demonstrated, in a practical fashion, that a multi-layer perceptron (MLP) neural network (NN) can...
conference paper 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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Prakoso, 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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Köylü, T.C. (author), Hamdioui, S. (author), Taouil, M. (author)
Artificial neural networks (ANNs) are used to accomplish a variety of tasks, including safety critical ones. Hence, it is important to protect them against faults that can influence decisions during operation. In this paper, we propose smart and low-cost redundancy schemes that protect the most vulnerable ANN parts against fault attacks....
conference paper 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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Verhoeven, Gijs (author), Vergara Barrios, P.P. (author), Salazar Duque, Edgar Mauricio (author), Kok, Koen (author)
To guarantee a successful deployment of a droop-based control strategy to mitigate overvoltage problems caused by solar photovoltaic (PV) generation, Distribution System Operators (DSOs) will need to estimate the amount of active power curtailed by the PV inverters for billing purposes. This paper provides a structural elaboration on the...
conference paper 2022
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Han, Y. (author), Yarovoy, Alexander (author), Fioranelli, F. (author)
This research aims to develop a contactless, radar-based sleep apnea detection method. A novel identification approach for this is proposed, based on the envelope of UWB radar spectrograms and machine learning. The envelope of the spectrogram is extracted by an image-based method, followed by signal smoothing via variational mode decomposition ...
conference paper 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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