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Titlebook: Advances in Model and Data Engineering in the Digitalization Era; MEDI 2021 Internatio Ladjel Bellatreche,George Chernishev,Jüri Vain Confe

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https://doi.org/10.1007/BFb0057337solution and therefore, compute the improved deployment of the sensor nodes within the target area. The simulation results demonstrate that the proposed algorithm provides a noteworthy initial coverage enhancement.
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Constantinos M. Paleos,Dimitris Tsiourvassensitive data to be protected in an Resource Description Framework (RDF) triple. Subsequently the application of the policy on the graph will allow their replacement by their encryption, thus ensuring a balance between confidentiality and utility of data.
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1865-0929 ata Engineering, MEDI 2021, held in Tallinn, Estonia, in June 2021: Workshop on moDeling, vErification and Testing of dEpendable CriTical systems, DETECT 2021; Symposium on Intelligent and Autonomous Systems, SIAS 2021; Worjshop on Control Software: Methods, Models, and Languages, CSMML 2021; Blockc
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https://doi.org/10.1057/9781137297242refinement proof obligations must be considered. Here we describe a record structuring syntax that includes notions of extension and inheritance that can be used in a refinement-based formal method. We illustrate the approach using extensions to the Event-B formal method.
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https://doi.org/10.1007/3-540-36408-0d show an improvement of 28% compared to using the default parametrization. The conducted evaluation reveals a negligible overhead of our auto-tuner when running in production and a significant resilience for parallel use on a high-traffic HPC cluster.
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