骚动 发表于 2025-3-23 13:10:02
https://doi.org/10.1007/978-3-319-67639-5applied computing; bandwidth; biometrics; cloud computing; critical infrastructures; computer networks; da情感脆弱 发表于 2025-3-23 15:34:12
http://reply.papertrans.cn/28/2792/279171/279171_12.pngClassify 发表于 2025-3-23 21:36:47
Alessandro Piva,Ilenia Tinnirello,Simone MorosiIncludes supplementary material:INERT 发表于 2025-3-23 22:10:31
http://reply.papertrans.cn/28/2792/279171/279171_14.pngAllege 发表于 2025-3-24 03:35:24
http://reply.papertrans.cn/28/2792/279171/279171_15.png音乐学者 发表于 2025-3-24 07:38:44
http://reply.papertrans.cn/28/2792/279171/279171_16.png排斥 发表于 2025-3-24 12:36:48
Die Moderne und der Säkularisierungsprozeß-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充满人 发表于 2025-3-24 17:26:45
Franz-Xaver Kaufmann,Bernhard Schäfersning 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), responsiVisual-Field 发表于 2025-3-24 21:23:20
http://reply.papertrans.cn/28/2792/279171/279171_19.png骇人 发表于 2025-3-25 00:50:01
Franz-Xaver Kaufmann,Bernhard Schäfersative 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