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Titlebook: M?nnerschnupfen; Peter Buchenau,Ina Lackerbauer Book 20161st edition Springer Fachmedien Wiesbaden 2016 Emanzipation.Gender.Geschlechterro

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21#
發(fā)表于 2025-3-25 05:51:07 | 只看該作者
tions", held in Cetraro, Italy, during the first two weeks of July 1990. This Institute focused on three topics that are considered of particular interest and rich of i‘p.novation by researchers in the fields of speech recognition and understanding: Advances in Hidden Markov modeling, connectionist
22#
發(fā)表于 2025-3-25 10:47:54 | 只看該作者
Online Packet Scheduling Under Adversarial Jamming,and errors are modelled by an adversary. We focus on estimating competitive throughput of online scheduling algorithms. We design an online algorithm for scheduling packets of arbitrary lengths, achieving optimal competitive throughput in . (the exact value depends on packet lengths). Another algori
23#
發(fā)表于 2025-3-25 15:00:00 | 只看該作者
Towards a Digital Infrastructure for Illustrated Handwritten Archives,ritten in hard-to-read historical handwriting and are often interspersed with illustrations. Such collections are weakly structured and largely inaccessible to a wider public and scholars. Traditionally, humanities researchers treat text and images separately. This separation extends to traditional
24#
發(fā)表于 2025-3-25 18:22:36 | 只看該作者
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發(fā)表于 2025-3-25 21:40:00 | 只看該作者
26#
發(fā)表于 2025-3-26 02:30:18 | 只看該作者
27#
發(fā)表于 2025-3-26 06:47:08 | 只看該作者
https://doi.org/10.1007/978-3-642-56806-0 digitalen Zukunft fürchten? Anhand vieler Anwendungsbeispiele werden Sie verstehen, was das aktuelle Schlagwort Digitalisierung für das Privatleben bedeutet, und anhand zweier ausgew?hlter Technologien wird Ihnen ein kleiner Einblick hinter die Kulissen der technischen Entwicklung er?ffnet.
28#
發(fā)表于 2025-3-26 11:32:20 | 只看該作者
29#
發(fā)表于 2025-3-26 15:38:16 | 只看該作者
30#
發(fā)表于 2025-3-26 19:00:35 | 只看該作者
Stephen Loftus PhD,Diane Tasker PhDr. It uses a proof of data possession technique to guarantee that the cloud storage service possess the particular file and estimates its location(s) in a distributed manner without requiring the collaboration of the data controller or cloud provider. Empirical evaluations demonstrate that DLoc prov
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