Searched for: subject:"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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Davis, D.J. (author)
doctoral thesis 2019
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de Nijs, F. (author)
Intelligent autonomous agents, designed to automate and simplify many aspects of our society, will increasingly be required to also interact with other agents autonomously. Where agents interact, they are likely to encounter resource constraints. For example, agents managing household appliances to optimize electricity usage might need to share...
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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van Bruggen, Anne (author), Nikolic, I. (author), Kwakkel, J.H. (author)
Coherent responses to important problems such as climate change require involving a multitude of stakeholders in a transformative process leading to development of policy pathways. The process of coming to an agreement on policy pathways requires critical reflection on underlying system conceptualizations and commitment to building capacity...
journal article 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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Wognum, P.M. (author), Bil, Cees (author), Elgh, Fredrik (author), Peruzzini, Margherita (author), Stjepandić, Josip (author), Verhagen, W.J.C. (author)
Transdisciplinary processes have been the subject of research since several decades already. Transdisciplinary processes are aimed at solving ill-defined and socially relevant problems. Many researchers have studied transdisciplinary processes and have tried to understand the essentials of transdisciplinarity. Many engineering problems can be...
journal article 2019
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Duives, D.C. (author), Wang, Guangxing (author), Kim, Jiwon (author)
Currently, effective crowd management based on the information provided by crowd monitoring systems is difficult as this information comes in at the moment adverse crowd movements are already occurring. Up to this moment, very little forecasting techniques have been developed that predict crowd flows a longer time period ahead. Moreover, most...
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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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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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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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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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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Lavidas, G. (author)
The study quantifies socio-economic benefits by the integration of wave energy in Greece, through resource examination, availability and deployment considerations. Greece has a large number of inhabited islands that mostly utilise conventional fuels for power generation, inclusion of wave energy will contribute both in terms of energy...
journal article 2019
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Hudson, Lorraine (author), Wolff, A (author), Gooch, Daniel (author), Van Der Linden, Janet (author), Kortuem, G.W. (author), Petre, Marian (author), ten Veen, Rianne (author), O'Connor-Gotra, Sinead (author)
Smart cities try to use technology and data to improve the efficiency of city services, to address societal challenges and to improve collaboration between citizens and government. Driving such social change requires a deep socio-ecological transition with both organisations and individual's lifestyles needing to change. This has led to an...
journal article 2019
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Gama, F. (author), Marques, Antonio G. (author), Leus, G.J.T. (author), Ribeiro, Alejandro (author)
Two architectures that generalize convolutional neural networks (CNNs) for the processing of signals supported on graphs are introduced. We start with the selection graph neural network (GNN), which replaces linear time invariant filters with linear shift invariant graph filters to generate convolutional features and reinterprets pooling as a...
journal article 2019
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van de Ruit, M.L. (author), Grey, Michael J. (author)
Motor learning has been linked with increases in corticospinal excitability (CSE). However, the robustness of this link is unclear. In this study, changes in CSE associated with learning a visuomotor tracking task were mapped using transcranial magnetic stimulation (TMS). TMS maps were obtained before and after training with the first dorsal...
journal article 2019
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Kim, J.H. (author), Urbano Merino, Julián (author), Liem, C.C.S. (author), Hanjalic, A. (author)
Inspired by the success of deploying deep learning in the fields of Computer Vision and Natural Language Processing, this learning paradigm has also found its way into the field of Music Information Retrieval. In order to benefit from deep learning in an effective, but also efficient manner, deep transfer learning has become a common approach...
journal article 2019
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Pane, Yudha P. (author), Nageshrao, Subramanya P. (author), Kober, J. (author), Babuska, R. (author)
Smart robotics will be a core feature while migrating from Industry 3.0 (i.e., mass manufacturing) to Industry 4.0 (i.e., customized or social manufacturing). A key characteristic of a smart system is its ability to learn. For smart manufacturing, this means incorporating learning capabilities into the current fixed, repetitive, task-oriented...
journal article 2019
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de Vries, P. (author), Moropoulou, Antonia (author)
Cultural heritage preservation has developed from an insular vocation into a field of innovative scientific methodologies characterized by a holistic approach combining a range of scientific fields. Unfortunately, preservation education has not been able to keep pace with all these developments. In this paper authentic learning is analyzed as...
conference paper 2019
Searched for: subject:"Learning"
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