Searched for: subject:"machine%5C+learning"
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Bliek, L. (author)
Beamforming is a signal processing technique used in highly directional antennas. An array of antenna elements transmits the same signal, but with a different time delay for each element. By providing the right time delays for each antenna element, the whole array transmits a high-powered signal in one desired direction. This technique can be...
doctoral thesis 2019
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Zhang, Y. (author)
Among all the contributors to fatal accidents, in-flight loss of control (LOC-I) remains one of the largest categories, as indicated by statistics of investigations into past civil aircraft accidents. In flight LOC generally refers to accidents in which the flight crew was unable to maintain control of the aircraft in flight, resulting in an...
doctoral thesis 2019
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Baireuther, P.S. (author), Caio, M. D. (author), Criger, D.B. (author), Beenakker, CWJ (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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Cremer, Jochen L. (author), Konstantelos, Ioannis (author), Tindemans, S.H. (author), Strbac, Goran (author)
Supervised machine learning has been successfully used in the past to infer a system's security boundary by training classifiers (also referred to as security rules) on a large number of simulated operating conditions. Although significant research has been carried out on using classifiers for the detection of critical operating points, using...
journal article 2019
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Sarasua, A (author), Urbano Merino, 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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de Kok, Roos E. (author), Mauri, A. (author), Bozzon, A. (author)
Understanding and improving the energy consumption behavior of individuals is considered a powerful approach to improve energy conservation and stimulate energy efficiency. To motivate people to change their energy consumption behavior, we need to have a thorough understanding of which energy-consuming activities they perform and how these...
journal article 2019
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Dubost, Florian (author), Yilmaz, Pinar (author), Adams, Hieab H (author), Bortsova, Gerda (author), Ikram, Mohammad A. (author), Niessen, W.J. (author), Vernooij, Meike W. (author), de Bruijne, Marleen (author)
Enlarged perivascular spaces (PVS) are structural brain changes visible in MRI, are common in aging, and are considered a reflection of cerebral small vessel disease. As such, assessing the burden of PVS has promise as a brain imaging marker. Visual and manual scoring of PVS is a tedious and observer-dependent task. Automated methods would...
journal article 2019
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Konstantelos, Ioannis (author), Sun, Mingyang (author), Tindemans, S.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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Peternel, L. (author), Fang, Cheng (author), Tsagarakis, Nikolaos G. (author), Ajoudani, Arash (author)
In this paper, we propose a method for selective monitoring and management of human muscle fatigue in human-robot co-manipulation scenarios. The proposed approach uses a machine learning technique to learn the complex relationship between individual human muscle forces, arm configuration and arm endpoint force that are provided by a...
journal article 2019
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Liu, S. (author), Oosterlee, C.W. (author), Bohte, Sander M. (author)
This paper proposes a data-driven approach, by means of an Artificial Neural Network (ANN), to value financial options and to calculate implied volatilities with the aim of accelerating the corresponding numerical methods. With ANNs being universal function approximators, this method trains an optimized ANN on a data set generated by a...
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), More Authors (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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Bijl, H.J. (author)
Wind turbines are growing bigger to becomemore cost-efficient. This does increase the severity of the vibrations that are present in the turbine blades, both due to predictable effects like wind shear and tower shadow, and due to less predictable effects like turbulence and flutter. If wind turbines are to become bigger and more cost-efficient,...
doctoral thesis 2018
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Kouw, W.M. (author)
Artificial intelligence, and in particular machine learning, is concerned with teaching computer systems to perform tasks. Tasks such as autonomous driving, recognizing tumors in medical images, or detecting suspicious packages in airports. Such systems learn by observing examples, i.e. data, and forming a mathematical description of what types...
doctoral thesis 2018
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Ruiz Arenas, S. (author)
Typically, emerging system failures have a strong impact on the performance of industrial systems as well as on the efficiency of their operational and servicing processes. Being aware of these, maintenance and repair researchers have developed multiple failure detection and diagnosis techniques that allow early recognition of system or...
doctoral thesis 2018
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Reale, C. (author), Gavin, K. (author), Librić, Lovorka (author), Jurić-Kaćunić, Danijela (author)
Soil classification is a means of grouping soils into categories according to a shared set of properties or characteristics that will exhibit similar engineering behaviour under loading. Correctly classifying site conditions is an important, costly, and time-consuming process which needs to be carried out at every building site prior to the...
journal article 2018
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Tajalizadehkhoob, S. (author)
In theory, hosting providers can play an important role in fighting cybercrime and misuse. This is because many online threats, be they high-profile or mundane, use online storage infrastructure maintained by hosting providers at the core of their criminal operations.
However, in practice, we see large differences in the security measures...
doctoral thesis 2018
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Neerincx, M.A. (author), Koldijk, Saskia (author), Kraaij, Wessel (author)
Employees often report the experience of stress at work. In the SWELL project we investigate how new context aware pervasive systems can support knowledge workers to diminish stress. The focus of this paper is on developing automatic classifiers to infer working conditions and stress related mental states from a multimodal set of sensor data ...
journal article 2018
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Pezzotti, N. (author), Hollt, T. (author), van Gemert, J.C. (author), Lelieveldt, B.P.F. (author), Eisemann, E. (author), Vilanova Bartroli, A. (author)
Deep neural networks are now rivaling human accuracy in several pattern recognition problems. Compared to traditional classifiers, where features are handcrafted, neural networks learn increasingly complex features directly from the data. Instead of handcrafting the features, it is now the network architecture that is manually engineered. The...
journal article 2018
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Suryanarayana, Gowri (author), Lago Garcia, J. (author), Geysen, Davy (author), Aleksiejuk, Piotr (author), Johansson, Christian (author)
Recent research has seen several forecasting methods being applied for heat load forecasting of district heating networks. This paper presents two methods that gain significant improvements compared to the previous works. First, an automated way of handling non-linear dependencies in linear models is presented. In this context, the paper...
journal article 2018
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Celemin Paez, C.E. (author), Ruiz-del-Solar, Javier (author), Kober, J. (author)
Reinforcement Learning agents can be supported by feedback from human teachers in the learning loop that guides the learning process. In this work we propose two hybrid strategies of Policy Search Reinforcement Learning and Interactive Machine Learning that benefit from both sources of information, the cost function and the human corrective...
journal article 2018
Searched for: subject:"machine%5C+learning"
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