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den Hartog, D.D.G. (author), Harlaar, J. (author), Smit, G. (author)
Stumbling during gait is commonly encountered in patients who suffer from mild to serious walking problems, e.g., after stroke, in osteoarthritis, or amputees using a lower leg prosthesis. Instead of self-reporting, an objective assessment of the number of stumbles in daily life would inform clinicians more accurately and enable the evaluation...
journal article 2021
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Doan, Nguyen Anh Khoa (author), Polifke, W. (author), Magri, L. (author)
We propose a physics-constrained machine learning method - based on reservoir computing - to time-accurately predict extreme events and long-term velocity statistics in a model of chaotic flow. The method leverages the strengths of two different approaches: empirical modelling based on reservoir computing, which learns the chaotic dynamics...
journal article 2021
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van Dijk, M.P. (author), Kok, M. (author), Berger, Monique A.M. (author), Hoozemans, Marco J.M. (author), Veeger, H.E.J. (author)
In sports, inertial measurement units are often used to measure the orientation of human body segments. A Madgwick (MW) filter can be used to obtain accurate inertial measurement unit (IMU) orientation estimates. This filter combines two different orientation estimates by applying a correction of the (1) gyroscope-based estimate in the...
journal article 2021
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Sellevold, R. (author), Vizcaino, M. (author)
Future Greenland ice sheet (GrIS) melt projections are limited by the lack of explicit melt calculations within most global climate models and the high computational cost of dynamical downscaling with regional climate models (RCMs). Here, we train artificial neural networks (ANNs) to obtain relationships between quantities consistently...
journal article 2021
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El-Taliawi, Ola G. (author), Goyal, N. (author), Howlett, Michael (author)
While the emergence of big data raises concerns regarding governance and public policy, it also creates opportunities for diversifying the toolkit for analysis for the policy sciences as a whole, i.e., research concerning policy analysis as well as policy studies. Further, it opens avenues for practice, which together with research requires...
journal article 2021
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Nakayama, Shotaro (author), Blacquière, G. (author)
Acquisition of incomplete data, i.e., blended, sparsely sampled, and narrowband data, allows for cost-effective and efficient field seismic operations. This strategy becomes technically acceptable, provided that a satisfactory recovery of the complete data, i.e., deblended, well-sampled, and broadband data, is attainable. Hence, we explore a...
journal article 2021
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Goyal, N. (author), Howlett, Michael (author)
Although understanding initial responses to a crisis such as COVID-19 is important, existing research on the topic has not been systematically comparative. This study uses topic modeling to inductively analyze over 13,000 COVID-19 policies worldwide. This technique enables the COVID-19 policy mixes to be characterized and their cross-country...
journal article 2021
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Virgolin, M. (author), Wang, Ziyuan (author), Alderliesten, T. (author), Bosman, P.A.N. (author)
Purpose: Current phantoms used for the dose reconstruction of long-term childhood cancer survivors lack individualization. We design a method to predict highly individualized abdominal three-dimensional (3-D) phantoms automatically. Approach: We train machine learning (ML) models to map (2-D) patient features to 3-D organ-at-risk (OAR)...
journal article 2020
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Kwakkel, J.H. (author)
Even though real options analysis (ROA) is often thought as the best tool available for evaluating flexible strategies, there are profound problems with the assumptions underpinning ROA rendering it unsuitable for use in supporting planning and decision-making on climate adaptation. In the face of dynamic and deep uncertainty about the future...
journal article 2020
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Rushdi, Mostafa A. (author), Rushdi, Ahmad A. (author), Dief, Tarek N. (author), Halawa, Amr M. (author), Yoshida, Shigeo (author), Schmehl, R. (author)
Kites can be used to harvest wind energy at higher altitudes while using only a fraction of the material required for conventional wind turbines. In this work, we present the kite system of Kyushu University and demonstrate how experimental data can be used to train machine learning regression models. The system is designed for 7 kW traction...
journal article 2020
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van de Kerkhof, B. (author), Pankratius, Victor (author), Chang, Ling (author), Van Swol, Rob (author), Hanssen, R.F. (author)
Satellite-based persistent scatterer satellite radar interferometry facilitates the monitoring of deformations of the earth's surface and objects on it. A challenge in data acquisition is the handling of large numbers of coherent radar scatterers. The behavior of each scatterer is time dependent and is influenced by changes in deformation and...
journal article 2020
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Xenochristou, Maria (author), Kapelan, Z. (author)
Water demand forecasting is an essential task for water utilities, with increasing importance due to future societal and environmental changes. This paper suggests a new methodology for water demand forecasting, based on model stacking and bias correction that predicts daily demands for groups of ~120 properties. This methodology is compared...
journal article 2020
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Betting, J.L.F. (author), Romano, Vincenzo (author), Al-Ars, Z. (author), Bosman, L.W.J. (author), Strydis, C. (author), De Zeeuw, Chris I. (author)
Rodents engage in active touch using their facial whiskers: they explore their environment by making rapid back-and-forth movements. The fast nature of whisker movements, during which whiskers often cross each other, makes it notoriously difficult to track individual whiskers of the intact whisker field. We present here a novel algorithm,...
journal article 2020
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Li, H. (author), Mehul, A. (author), Kernec, J. Le (author), Gurbuz, S. Z. (author), Fioranelli, F. (author)
This paper presents different information fusion approaches to classify human gait patterns and falls in a radar sensors network. The human gaits classified in this work are both individual and sequential, continuous gait collected by a FMCW radar and three UWB pulse radar placed at different spatial locations. Sequential gaits are those...
journal article 2020
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Baireuther, P.S. (author), Caio, M. D. (author), Criger, D.B. (author), Beenakker, C. W.J. (author), O'Brien, T.E. (author)
A quantum computer needs the assistance of a classical algorithm to detect and identify errors that affect encoded quantum information. At this interface of classical and quantum computing the technique of machine learning has appeared as a way to tailor such an algorithm to the specific error processes of an experiment - without the need...
journal article 2019
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Konstantelos, Ioannis (author), Sun, Mingyang (author), Tindemans, Simon H. (author), Issad, Samir (author), Panciatici, Patrick (author), Strbac, Goran (author)
The increasing uncertainty that surrounds electricity system operation renders security assessment a highly challenging task; the range of possible operating states expands, rendering traditional approaches based on heuristic practices and ad hoc analysis obsolete. In turn, machine learning can be used to construct surrogate models...
journal article 2019
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Abdelaal, T.R.M. (author), van Unen, Vincent (author), Höllt, T. (author), Koning, Frits (author), Reinders, M.J.T. (author), Mahfouz, A.M.E.T.A. (author)
Mass cytometry by time-of-flight (CyTOF) is a valuable technology for high-dimensional analysis at the single cell level. Identification of different cell populations is an important task during the data analysis. Many clustering tools can perform this task, which is essential to identify “new” cell populations in explorative experiments....
journal article 2019
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Sarasua, Alvaro (author), Urbano, Julián (author), Gómez, Emilia (author)
Metaphors are commonly used in interface design within Human-Computer Interaction (HCI). Interface metaphors provide users with a way to interact with the computer that resembles a known activity, giving instantaneous knowledge or intuition about how the interaction works. A widely used one in Digital Musical Instruments (DMIs) is the conductor...
journal article 2019
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Bouts, Mark J.R.J. (author), van der Grond, Jeroen (author), Vernooij, Meike W. (author), Koini, Marisa (author), Schouten, T.M. (author), de Vos, Frank (author), Feis, Rogier A. (author), Lechner, Anita (author), Niessen, W.J. (author)
Early and accurate mild cognitive impairment (MCI) detection within a heterogeneous, nonclinical population is needed to improve care for persons at risk of developing dementia. Magnetic resonance imaging (MRI)-based classification may aid early diagnosis of MCI, but has only been applied within clinical cohorts. We aimed to determine the...
journal article 2019
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Bessa, M.A. (author), Głowacki, Piotr (author), Houlder, Michael (author)
Designing future-proof materials goes beyond a quest for the best. The next generation of materials needs to be adaptive, multipurpose, and tunable. This is not possible by following the traditional experimentally guided trial-and-error process, as this limits the search for untapped regions of the solution space. Here, a computational data...
journal article 2019
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