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Titlebook: Digital Communication. Towards a Smart and Secure Future Internet; 28th International T Alessandro Piva,Ilenia Tinnirello,Simone Morosi Con

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樓主: Enlightening
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發(fā)表于 2025-3-23 13:10:02 | 只看該作者
https://doi.org/10.1007/978-3-319-67639-5applied computing; bandwidth; biometrics; cloud computing; critical infrastructures; computer networks; da
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發(fā)表于 2025-3-23 15:34:12 | 只看該作者
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發(fā)表于 2025-3-23 21:36:47 | 只看該作者
Alessandro Piva,Ilenia Tinnirello,Simone MorosiIncludes supplementary material:
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發(fā)表于 2025-3-23 22:10:31 | 只看該作者
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發(fā)表于 2025-3-24 03:35:24 | 只看該作者
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發(fā)表于 2025-3-24 07:38:44 | 只看該作者
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發(fā)表于 2025-3-24 12:36:48 | 只看該作者
Die Moderne und der S?kularisierungsproze?-level fusion, score-level fusion as well as decision-level fusion approaches are applied in a biometric system exploiting patterns of palm veins for user recognition, and both local binary pattern and local derivative pattern features for template generation. The obtained results show that a signif
18#
發(fā)表于 2025-3-24 17:26:45 | 只看該作者
Franz-Xaver Kaufmann,Bernhard Sch?fersning virtualized network elements. In particular, NFV is suited to boost the deployment flexibility of Service Function Chains (SFCs). In this paper, we address an availability evaluation of a chain of network nodes implementing a SFC managed by the Virtualized Infrastructure Manager (VIM), responsi
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發(fā)表于 2025-3-24 21:23:20 | 只看該作者
20#
發(fā)表于 2025-3-25 00:50:01 | 只看該作者
Franz-Xaver Kaufmann,Bernhard Sch?fersative Multi-Seasonal Model (MSMM) relies on a time series decomposition including multiple multiplicative seasonal profiles and a trend component. The method and its underlying model have been specifically designed to be computationally lightweight to scale to big-data scenarios envisaged in upcomin
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