Searched for: subject:"Data%5C+driven"
(1 - 16 of 16)
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de Boer, M.H.T. (author), Verhoosel, J.P.C. (author)
Creating ontologies is an expensive task. Our vision is that we can automatically generate ontologies based on a set of relevant documents to create a kick-start in ontology creating sessions. In this paper, we focus on enhancing two often used methods, OpenIE and cooccurrences. We evaluate the methods on two document sets, one about pizza and...
conference paper 2020
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Diran, D.D.D. (author), van Veenstra, A.F.E. (author)
conference paper 2020
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Poort, J.P. (author), Shoeibi Omrani, P.S. (author), Vecchia, A.L. (author), Visser, G. (author), Janzen, M. (author), Koenes, J. (author)
Detection of production and well events is crucial for planning of production and operational strategies. Event detection is especially challenging in mature fields in which various off-normal events might occur simultaneously. Manual detection of these events by an engineer is a tedious task and prone to errors. On the other hand, abundance of...
conference paper 2020
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Tronci, S. (author), van Neer, P.L.M.J. (author), Giling, E.J.M. (author), Stelwagen, U. (author), Piras, D. (author), Mei, R. (author), Corominas, F. (author), Grosso, M. (author)
article 2019
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Shoeibi Omrani, P. (author), Dobrovolschi, I. (author), Belfroid, S.P.C. (author), Kronberger, P. (author), Munoz, E. (author)
In this study we have investigated a fully data-driven approach (artificial neural networks) for real-time back-allocation and virtual flow metering in oil and gas production wells. The main goal of this study is to develop computationally efficient data-driven models to determine the multiphase production rates of individual phases (gas and...
conference paper 2019
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Neumann, N.M.P. (author), Knegjens, R. (author), Den Hollander, R. (author), Oggero, S. (author), Burghouts, G.J. (author), Van Den Broek, S.P. (author)
Algorithms for the detection and tracking of objects can be combined into a system that automatically extracts relevant events from a large amount of video data. Such a system , can be particularly useful in video surveillance applications, notably to support analysts in retrieving information from hours of video while working under strict time...
conference paper 2018
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Pertl, M. (author), Douglass, P.J. (author), Heussen, K. (author), Kok, J.K. (author)
The installation of measurements in distribution grids enables the development of data driven methods for the power system. However, these methods have to be validated in order to understand the limitations and capabilities for their use. This paper presents a systematic validation of a neural network approach for voltage estimation in active...
article 2018
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Hillerström, F.H.J. (author), Kruithof, M.C. (author), Oggero, S. (author)
The Port of Rotterdam is an important hub in international maritime supply chains. Efficient functioning of the port requires accurate planning of the processes, thus reducing waiting times and costs for all parties. Therefore, predictions should be incorporated in the planning of all logistic processes. In particular, uncertainty information is...
conference paper 2018
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van Veenstra, A.F.E. (author), Kotterink, B. (author)
conference paper 2017
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Calvert, S.C. (author), Snelder, M. (author), Bakri, T. (author), Heijligers, B. (author), Knoop, V.L. (author)
Heavily used urban networks remain a challenge for travel time prediction because traffic flow is rarely homogeneous and is also subject to a wide variety of disturbances. Various models, some of which use traffic flow theory and some of which are data driven, have been developed to predict traffic flow and travel times. Many of these perform...
article 2015
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Eckartz, S. (author), Hofman, W.J. (author), van Veenstra, A.F. (author)
Data-driven innovation has great potential for the development of innovative services that not only have economic value, but that help to address societal challenges. Many of these challenges can only be addressed by data sharing of public and privately owned data. These public-private data sharing collaborations require data governance rules....
conference paper 2014
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Zhang, X. (author), Brouwer, J.H. (author), Meekes, J.A.C. (author), Arts, R.J. (author)
Passive seismic imaging during CO2 injection in geological formations gains more and more interest as part of an integrated monitoring approach. For two EU CO2 storage project sites, RECOPOL - Enhanced Coal-Bed Methane pilot site in Kaniów (Poland) and CO2SINK- CO2 injection in a saline aquifer in Ketzin (Germany), the Netherlands Geological...
conference paper 2011
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Doelman, N.J. (author), Fraanje, P.R. (author), Houtzager, I. (author), Verhaegen, M. (author), TNO Industrie en Techniek (author)
An optimal control method to reject turbulence-induced wavefront distortions in an Adaptive Optics system is discussed. Details of a data-driven control approach are presented where the emphasis is put on the estimation of the optimal predictor of the wavefront disturbance. Several algorithms capable of finding the predictor parameters from the...
conference paper 2009
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Hinnen, K. (author), Verhaegen, M. (author), Doelman, N.J. (author), TNO Industrie en Techniek (author)
Adaptive optics (AO) is used in ground-based astronomical telescopes to improve the resolution by counteracting the effects of atmospheric turbulence. Most AO systems are based on a simple control law that neglects the temporal evolution of the distortions introduced by the atmosphere. This paper presents a data-driven control design approach...
article 2008
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Ooi, S.K. (author), Krutzen, M.P.M. (author), Weyer, E. (author)
In this paper we test the St. Venant equations against real data in order to examine their accuracy and capability to describe the relevant dynamics of an irrigation channel. The St. Venant equations are simulated using the Preissmann scheme, and the simulated and real measured water levels are compared. Some of the parameters in the St. Venant...
article 2005
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Hinnen, K.J.G. (author), Verhaegen, M. (author), Doelman, N.J. (author), TNO Industrie en Techniek (author)
Even though the wavefront distortion introduced by atmospheric turbulence is a dynamic process, its temporal evolution is usually neglected in the adaptive optics (AO) control design. Most AO control systems consider only the spatial correlation in a separate wavefront reconstruction step. By accounting for the temporal evolution of the...
conference paper 2005
Searched for: subject:"Data%5C+driven"
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