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Titlebook: Wired/Wireless Internet Communications; 16th IFIP WG 6.2 Int Kaushik Roy Chowdhury,Marco Di Felice,Bo Sheng Conference proceedings 2018 IFI

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樓主: Body-Mass-Index
21#
發(fā)表于 2025-3-25 07:16:05 | 只看該作者
22#
發(fā)表于 2025-3-25 07:49:31 | 只看該作者
23#
發(fā)表于 2025-3-25 14:29:30 | 只看該作者
Emilio Ancillotti,Simone Bolettieri,Raffaele Bruno the Air Force,” its original and still-primary sponsor. How RAND has managed this and what the most noteworthy particular aspects of its independence have been are the subsidiary questions to which Smith devotes the bulk of his study..
24#
發(fā)表于 2025-3-25 19:52:12 | 只看該作者
Theofanis P. Raptis,Andrea Passarella,Marco Conti aforementioned states plus principalities in what is today Italy, Germany, Denmark, and Hungary. Toward the end of the century, in 1870, the Paris Commune represented yet another attempt by disenfranchised and exploited urban poor to take over the ruling institutions of France..
25#
發(fā)表于 2025-3-25 21:16:41 | 只看該作者
Riham Elhabyan,Wei Shi,Marc St-Hilaireot . but were the product of efforts to mediate between the systemic realities confronting the new republic—notably geographic isolation/insularity and the threat posed by British hegemony—and the Whig anti-statism and republicanism that had guided the Revolution and the construction of the Republic’s architecture of limited government.
26#
發(fā)表于 2025-3-26 03:09:06 | 只看該作者
27#
發(fā)表于 2025-3-26 04:26:54 | 只看該作者
28#
發(fā)表于 2025-3-26 09:48:08 | 只看該作者
29#
發(fā)表于 2025-3-26 15:07:01 | 只看該作者
Ranged Name Retrieval: Design and Evaluation of a Flexible Data Retrieval Approach for ICNimproves the bandwidth utilization efficiency 16-fold when retrieving data with unknown names, and even decreases the average end-to-end (E2E) delay for data delivery, while only adding 2% overhead for the processing of ranged-names.
30#
發(fā)表于 2025-3-26 17:57:32 | 只看該作者
Machine Learning-Based Real-Time Indoor Landmark Localizationdividual machine learning algorithms and it achieves the best indoor landmark localization accuracy of 94% in office-like environments. This work provides a coarse-grained indoor room recognition and landmark localization within rooms, which can be envisioned as a basis for accurate indoor positioning.
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