Searched for: subject%3A%22Big%255C%2Bdata%22
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van Rooij, M. (author), van Rooij, S.B. (author), Bouma, H. (author), Pimentel, A. (author)
Federated Learning allows multiple parties to train a model collaboratively while keeping data locally. Two main concerns when using Federated Learning are communication costs and privacy. A technique proposed to significantly reduce communication costs and increase privacy is Partial Weight Sharing (PWS). However, this method is insecure due to...
conference paper 2022
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Albers, T. (author), Lazovik, E. (author), Yousefi, M.H.N. (author), Lazovik, A. (author)
Distributed data processing systems have become the standard means for big data analytics. These systems are based on processing pipelines where operations on data are performed in a chain of consecutive steps. Normally, the operations performed by these pipelines are set at design time, and any changes to their functionality require the...
article 2021
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Timan, T. (author), Oirsouw, C. (author), Hoekstra, M. (author)
In recent debates around the regulation of artificial intelligence, its foundations, being data, are often overlooked. In order for AI to have any success but also for it to become transparent, explainable and auditable where needed, we need to make sure the data regulation and data governance around it is of the highest quality standards in...
bookPart 2021
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Quantumfysica is voor gewone stervelingen een ongrijpbaar fenomeen. Toch weten knappe koppen het te vertalen naar quantumtechnologie die de belofte van concrete ‘gamechanging’ toepassingen in zich heeft. Het Delftse onderzoeksinstituut QuTech ontwikkelt er demonstrators voor. Zo heeft de toekomstige quantumcomputer een ongelooflijke...
article 2019
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Brederode, L. (author), Pots, M. (author), Fransen, R.W. (author), Brethouwer, J.T. (author)
Ever more observed data on destination and mode choices made by travelers is becoming available from e.g. GSM and ANPR data. For strategic transport demand modelling, this means that instead of estimating synthetic models and calibrating them on the limited set of available observations for a single study period definition, different data...
conference paper 2019
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Snijders, R. (author), de Jong, A.P.J. (author), Albers, T. (author), van Waaij, B.D. (author), Vonder, M.R. (author)
The vast amount of livestock (sensor) data collected everyday, offers a huge potential to improve model prediction and therefore decision support for farmers. However, the prediction performance of these models depends highly on the availability and quality of the data. Careful dataset preparation is therefore important. Nowadays, selecting and...
conference paper 2019
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Nadi, A. (author), Snelder, M. (author), Tavasszy, L.A. (author), Sharma, S. (author), van Lint, H. (author)
Bluetooth technology is receiving more and more attention to support travel time measurement for intelligent transportation systems (ITS) applications. Bluetooth receivers are used to time-stamp passing identical vehicles at different locations based on their unique MAC addresses. This information is useful to predict travel times and estimate...
conference paper 2019
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Veeningen, M. (author), Chatterjea, S. (author), Horváth, A.Z. (author), Spindler, G. (author), Boersma, E. (author), van der Spek, P. (author), van der GaliËn, O. (author), Gutteling, J. (author), Kraaij, W. (author), Veugen, P.J.M. (author)
conference paper 2018
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de Wind, A. (author), Scharn, M. (author), Geuskens, G.A. (author), van der Beek, A.J. (author), Boot, C.R.L. (author)
Background An increasing number of retirees continue to work beyond retirement despite being eligible to retire. As the prevalence of chronic disease increases with age, working beyond retirement may go along with having a chronic disease. Working beyond retirement may be different for retirees with and without chronic disease. We aim to...
article 2018
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van den Homberg, M.J.C. (author), Monné, R. (author), Spruit, M. (author)
Natural disasters are chaotic and disruptive events, with compressed timelines and high levels of uncertainty. Comprehensive data on the impact becomes only available well into the response phase and data is scattered across organizations. Data heterogeneity issues are common. Consequently, responding organizations have difficulties finding data...
article 2018
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de Boer, M. (author), Nouwt, B. (author), van Bekkum, M. (author)
Big Data Applications (BDAs) are used to support a decision making process, but their developers and users are often unaware of the exact uncertainties that underlie the output of BDAs. In this paper we present a System for Uncertainty Decision Support (SUDS) as a generic plug-in for BDAs that aims to give both developers and users more insight...
conference paper 2017
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Stroet, C.T. (author), Zwaan, J. (author), de Jager, G. (author), Montijn, R. (author), Schuren, F. (author)
conference paper 2017
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van den Broek, T.A. (author), van Veenstra, A.F.E. (author)
Big data is an important driver of disruptive innovation that may increase organizations' competitive advantage. To create innovative data combinations and decrease investments, big data is often shared among organizations, crossing organizational boundaries. However, these big data collaborations need to balance disruptive innovation and...
article 2017
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Lazovik, E. (author), Medema, M. (author), Albers, T. (author), Langius, E.A.F. (author), Lazovik, A. (author)
Distributed data processing systems are the standard means for large-scale data analysis in the Big Data field. These systems are based on processing pipelines where the processing is done via a composition of multiple elements or steps. In current distributed data processing systems, the code and parameters that create the pipeline are set at...
conference paper 2017
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TNO, in collaboration with the Big Data Value Center, presents the fourth Small Big Data Congress! Our congress aims at providing an overview of practical and innovative applications based on big data. Do you want to know what is happening in applied research with big data? And what can already be achieved through big data? This booklet rapidly...
book 2017
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Verhoosel, J.P.C. (author), Spek, J.C. (author)
In the Dutch SmartDairyFarming project, main dairy industry organizations like FrieslandCampina, AgriFirm and CRV work together on better decision support for the dairy farmer on daily questions around feeding, insemination, calving and milk production processes. This paper is concerned with the inherent semantic interoperability problem in...
conference paper 2016
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van der Weerdt, C.A. (author), de Boer, J. (author)
Big Data has a lot of potential for PLF as it allows for monitoring on a constant and real-time basis and can show connections between different data sources, which results in insights on the level of the individual cow that cannot be detected by the human eye. Technical implementation hereof is however not the only hurdle to take for data...
conference paper 2016
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van Leeuwen, C.J. (author), van Huis, J.R. (author), Baan, J. (author)
Wide Area Motion Imagery (WAMI) enables image based surveillance of areas that can cover multiple square kilometers. Interpreting and analyzing information from such sources, becomes increasingly time consuming as more data is added from newly developed methods for information extraction. Captured from a moving Unmanned Aerial Vehicle (UAV), the...
conference paper 2016
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Verhoosel, J.P.C. (author), Spek, J.C. (author)
In the Dutch SmartDairyFarming project, better decision support for the dairy farmer on daily questions around feeding, insemination, calving and milk production processes is made possible using a variety of big data sources containing static and dynamic sensor data of individual cows. This paper is concerned with the inherent semantic...
conference paper 2016
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Kruithof, M.C. (author), Bouma, H. (author), Fischer, N.M. (author), Schutte, K. (author)
Object recognition is important to understand the content of video and allow flexible querying in a large number of cameras, especially for security applications. Recent benchmarks show that deep convolutional neural networks are excellent approaches for object recognition. This paper describes an approach of domain transfer, where features...
conference paper 2016
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