Searched for: subject%3A%22Data%255C%2Bquality%22
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Noardo, F. (author), Wu, T. (author), Arroyo Ohori, G.A.K. (author), Krijnen, T.F. (author), Stoter, J.E. (author)
To support building permit issuing with automatic digital tools, the reuse of models produced by designers would make the process quicker and more objective. However, current studies and pilots often leave a gap with respect to the models as actually provided by architects, having varying quality and content. In this study, rather than taking...
journal article 2022
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Fang, Zigeng (author), Liu, Y. (author), Lu, Qiuchen (author), Pitt, Michael (author), Hanna, Sean (author), Tian, Zhichao (author)
A building's strategic asset management (SAM) capability has traditionally been limited by its site-based management. With the emergence of needs from clients about delivering a long-term portfolio-based building asset management plan that minimizes the asset risk and optimizes the value of their asset portfolios, SAM Units have emerged as a...
journal article 2022
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Vermeer, Lukas (author), Anderson, K.S. (author), Acebal, Mauricio (author)
Background: Sample Ratio Mismatch (SRM) checks can help detect data quality issues in online experimentation [3]. Not all experimentation platforms provide these checks as part of their solution. Users of these platforms must therefore manually check for SRM, or rely on additional processes—such as checklists [2]—or automation. Objective: To...
conference paper 2022
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Shome, A. (author), Cruz, Luis (author), van Deursen, A. (author)
The adoption of Artificial Intelligence (AI) in high-stakes domains such as healthcare, wildlife preservation, autonomous driving and criminal justice system calls for a data-centric approach to AI. Data scientists spend the majority of their time studying and wrangling the data, yet tools to aid them with data analysis are lacking. This...
conference paper 2022
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Zappalá, D. (author), Tavner, Peter J. (author)
Wind turbine technologies are evolving rapidly in terms of complexity and size and there is an urgent need for cost-effective Operations and Maintenance (O&amp;M) strategies to increase the profitability of wind power assets.<br/><br/>Component reliability as well as maintenance strategies have the greatest effect on O&amp;M planning and costs,...
book chapter 2022
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Clemens, F.H.L.R. (author), Lepot, M.J. (author), Blumensaat, Frank (author), Leutnant, Dominik (author), Gruber, Guenter (author)
Once data have been recorded, data validation procedures have to be conducted to assess the quality of the data, i.e. give a confidence grade. Furthermore, gaps may occur in time series and, depending on the purposes, these can be given values by application of e.g. interpolation. Since both aspects are strongly correlated, this chapter gives an...
book chapter 2021
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Chen, Jieyu (author), Saunders, K.R. (author), Whan, Kirien (author)
Wind observations collected at citizen weather stations (CWSs) could be an invaluable resource in climate and meteorology studies, yet these observations are underutilised because scientists do not have confidence in their quality. These wind speed observations have systematic biases, likely caused by improper instrumentation and station...
journal article 2021
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Draws, T.A. (author), Rieger, A. (author), Inel, O. (author), Gadiraju, Ujwal (author), Tintarev, N. (author)
Recent research has demonstrated that cognitive biases such as the confirmation bias or the anchoring effect can negatively affect the quality of crowdsourced data. In practice, however, such biases go unnoticed unless specifically assessed or controlled for. Task requesters need to ensure that task workflow and design choices do not trigger...
conference paper 2021
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Hofman, Wout (author), Migeotte, Jonathan (author), Labare, Mathieu L.M. (author), Rukanova, B.D. (author), Tan, Y. (author)
With the rise of data analytics use in government, government organizations are starting to explore the possibilities of using business data to create further public value. This process, however, is far from straightforward: key questions that governments need to address relate to the quality of this external data and the value it brings. In the...
conference paper 2021
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Dukai, B. (author), Peters, R.Y. (author), Vitalis, S. (author), van Liempt, J.N.H. (author), Stoter, J.E. (author)
Fully automated reconstruction of high-detail building models on a national scale is challenging. It raises a set of problems that are seldom found when processing smaller areas, single cities. Often there is no reference, ground truth available to evaluate the quality of the reconstructed models. Therefore, only relative quality metrics are...
journal article 2021
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Reinoso Rondinel, R. (author), Schleiss, M.A. (author)
Conventionally, Micro Rain Radars (MRRs) have been used as a tool to calibrate reflectivity from weather radars, estimate the relation between rainfall rate and reflectivity, and study microphysical processes in precipitation. However, limited attention has been given to the reliability of the retrieved drop size distributions (DSDs) from...
journal article 2021
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Brous, Paul (author), Janssen, M.F.W.H.A. (author)
Organizations are increasingly introducing data science initiatives to support decision-making. However, the decision outcomes of data science initiatives are not always used or adopted by decision-makers, often due to uncertainty about the quality of data input. It is, therefore, not surprising that organizations are increasingly turning to...
journal article 2020
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Brous, P.A. (author), Janssen, M.F.W.H.A. (author), Krans, Rutger (author)
More and more, asset management organizations are introducing data science initiatives to support predictive maintenance and anomaly detection. Asset management organizations are by nature data intensive to manage their assets like bridges, dykes, railways and roads. For this, they often implement data lakes using a variety of architectures...
conference paper 2020
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Purwanto, A. (author), Zuiderwijk-van Eijk, A.M.G. (author), Janssen, M.F.W.H.A. (author)
Previous research assumes that poor quality of Open Government Data (OGD), OGD portals, and the services provided for OGD may result in reduced trust of citizens in OGD. However, studies that empirically test this assumption are scarce. Using the Information Systems (IS) Success Model as a theoretical basis, this study aims to examine the...
conference paper 2020
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Ledoux, H. (author)
IndoorGML datasets allow us to represent both (1) the geometry of the interior of a building, which is subdivided into <i>cells</i> (eg rooms, corridors, staircases); and (2) the navigation graph between these cells, which also acts as a mechanism to store the topological relationships between the cells. To be used in applications such as...
journal article 2020
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Srinivasan, Aditya Vasan (author)
The increasing availability of data, computing power &amp; advances in the algorithms has really driven the development of Artificial Intelligence (AI) in recent years. However, many industries &amp; societies despite realizing the value of AI are still skeptical in accepting AI, especially when several controversial incidents have come into our...
master thesis 2019
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Bebelaar, Niek (author)
Low-cost air quality sensors can fill gaps between the sparse measurements done with high-quality national monitoring grids and might contribute to creating a more complete understanding of air pollution in an urban area. However, until there is no agreement on what degree of sensor accuracy is acceptable, the sensor data quality should be...
master thesis 2019
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Tapaneya-Olarn, Tanya (author)
master thesis 2018
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A. Petrovsky, A. (author), Doole, M.M. (author), Ellerbroek, J. (author), Hoekstra, J.M. (author), Tomasello, F. (author)
The objective of this paper is to raise awareness about the significance of collecting and ensuring the quality of the obstacle data required for the safety of air navigation for both manned and unmanned aviation. This information could be of importance to geodetic, CityGML, 3D model and Building Information Management (BIM) community. With the...
conference paper 2018
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Ledoux, H. (author)
The validity of 3D primitives in 3D GIS datasets is often a prerequisite for using them in simulation and decision-making software, e.g. visibility analysis, noise pollution assessment, and energy estimation. However, while agreed definitions exist (in the international standard ISO19107), most software vendors ignore them and implement simpler...
journal article 2018
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