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Titlebook: Machine Learning for Cyber Security; 4th International Co Yuan Xu,Hongyang Yan,Jin Li Conference proceedings 2023 The Editor(s) (if applica

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樓主
發(fā)表于 2025-3-21 17:36:01 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Machine Learning for Cyber Security
副標(biāo)題4th International Co
編輯Yuan Xu,Hongyang Yan,Jin Li
視頻videohttp://file.papertrans.cn/621/620604/620604.mp4
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Machine Learning for Cyber Security; 4th International Co Yuan Xu,Hongyang Yan,Jin Li Conference proceedings 2023 The Editor(s) (if applica
描述The three-volume proceedings set LNCS 13655,13656 and 13657 constitutes the refereed.proceedings of the 4th International Conference on Machine Learning for Cyber Security, ML4CS 2022, which taking place during December 2–4, 2022, held in Guangzhou, China.. .The 100 full papers and 46 short papers were included in these proceedings were carefully reviewed and selected from 367 submissions..
出版日期Conference proceedings 2023
關(guān)鍵詞artificial intelligence; computer hardware; computer networks; computer science; computer security; compu
版次1
doihttps://doi.org/10.1007/978-3-031-20099-1
isbn_softcover978-3-031-20098-4
isbn_ebook978-3-031-20099-1Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

書目名稱Machine Learning for Cyber Security影響因子(影響力)




書目名稱Machine Learning for Cyber Security影響因子(影響力)學(xué)科排名




書目名稱Machine Learning for Cyber Security網(wǎng)絡(luò)公開度




書目名稱Machine Learning for Cyber Security網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Machine Learning for Cyber Security被引頻次




書目名稱Machine Learning for Cyber Security被引頻次學(xué)科排名




書目名稱Machine Learning for Cyber Security年度引用




書目名稱Machine Learning for Cyber Security年度引用學(xué)科排名




書目名稱Machine Learning for Cyber Security讀者反饋




書目名稱Machine Learning for Cyber Security讀者反饋學(xué)科排名




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發(fā)表于 2025-3-21 23:30:48 | 只看該作者
Conference proceedings 2023ng for Cyber Security, ML4CS 2022, which taking place during December 2–4, 2022, held in Guangzhou, China.. .The 100 full papers and 46 short papers were included in these proceedings were carefully reviewed and selected from 367 submissions..
板凳
發(fā)表于 2025-3-22 02:24:41 | 只看該作者
地板
發(fā)表于 2025-3-22 05:25:00 | 只看該作者
978-3-031-20098-4The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
5#
發(fā)表于 2025-3-22 09:43:38 | 只看該作者
Machine Learning for Cyber Security978-3-031-20099-1Series ISSN 0302-9743 Series E-ISSN 1611-3349
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發(fā)表于 2025-3-22 15:54:30 | 只看該作者
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發(fā)表于 2025-3-22 17:51:30 | 只看該作者
0302-9743 ine Learning for Cyber Security, ML4CS 2022, which taking place during December 2–4, 2022, held in Guangzhou, China.. .The 100 full papers and 46 short papers were included in these proceedings were carefully reviewed and selected from 367 submissions..978-3-031-20098-4978-3-031-20099-1Series ISSN 0
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發(fā)表于 2025-3-22 21:53:11 | 只看該作者
Conference proceedings 2023ng for Cyber Security, ML4CS 2022, which taking place during December 2–4, 2022, held in Guangzhou, China.. .The 100 full papers and 46 short papers were included in these proceedings were carefully reviewed and selected from 367 submissions..
9#
發(fā)表于 2025-3-23 03:13:46 | 只看該作者
,Highway: A Super Pipelined Parallel BFT Consensus Algorithm for?Permissioned Blockchain,ized high-performance BFT consensus algorithm that supports decentralized management. Our algorithm is a state machine replication protocol based on a partial synchrony model. Our approach has an 18.–50. throughput improvement over HotStuff and can reach millions of throughput at 1000 Mbps networks.
10#
發(fā)表于 2025-3-23 05:36:04 | 只看該作者
,Bipolar Picture Fuzzy Graph Based Multiple Attribute Decision Making Approach–Part I,ulated in the bipolar picture fuzzy graph framework, and decision making algorithms are designed to characterize the relationships among attributes. The numerical example is introduced in this paper to show how to handle the MADM problem in terms of bipolar picture graph model.
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