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Titlebook: Lerntest Chemie; Allgemeine Anorganis Volkmar Hölig Textbook 1987Latest edition Dr. Dietrich Steinkopff Verlag, GmbH & Co. KG, Darmstadt 19

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发表于 2025-3-21 17:15:33 | 显示全部楼层 |阅读模式
书目名称Lerntest Chemie
副标题Allgemeine Anorganis
编辑Volkmar Hölig
视频video
图书封面Titlebook: Lerntest Chemie; Allgemeine Anorganis Volkmar Hölig Textbook 1987Latest edition Dr. Dietrich Steinkopff Verlag, GmbH & Co. KG, Darmstadt 19
出版日期Textbook 1987Latest edition
关键词Avogadro-Konstante; Dissoziation; Elektrolyse; Elektronegativität; Löslichkeitsprodukt; Lösungen; Massenwi
版次2
doihttps://doi.org/10.1007/978-3-642-72394-0
isbn_softcover978-3-7985-0703-6
isbn_ebook978-3-642-72394-0
copyrightDr. Dietrich Steinkopff Verlag, GmbH & Co. KG, Darmstadt 1987
The information of publication is updating

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Volkmar Höligof both the sender’s identity and message, thus only designated receivers can extract and verify the message. The proposed scheme can be applied to tiny and short signature requirements for lightweight message authentication in wireless sensor networks.
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Volkmar Höligion of a post based on its text using refined language models that are learned from massive corpora of social media content. Using a large benchmark collection, we demonstrate the improvements in geotagging accuracy as a result of the proposed refinements.
发表于 2025-3-22 17:34:00 | 显示全部楼层
n subsystem, the BFID verification subsystem, the source tracing subsystem, and the flow-direction tracking subsystem. When a BFID is verified, it is scratched out, inputted to a mobile phone, and sent to the unified verification platform which works in a cloud computing mode, and is bound to a mobi
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Volkmar Hölige illustrate an attack example using augmented lagrange multiplier (ALM) method approach. These attacks remain hidden in the existing bad data detection modules and affect the operation of the physical energy grid. IEEE benchmark test systems, different attack scenarios and state-of-the-art detectio
发表于 2025-3-23 05:25:57 | 显示全部楼层
Volkmar Höligsyntactic-based approach using the well-known string matching Smith-Waterman algorithm can successfully detect the known polymorphic variants of JS.Cassandra virus. Our string-matching approach may revolutionize our understanding of polymorphic variant generation and may lead to a new phase of synta
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