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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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發(fā)表于 2025-3-21 19:29:50 | 只看該作者 |倒序瀏覽 |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/621/620601/620601.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 refereedproceedings 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 networks; computer science; computer security; computer systems; comput
版次1
doihttps://doi.org/10.1007/978-3-031-20096-0
isbn_softcover978-3-031-20095-3
isbn_ebook978-3-031-20096-0Series 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)




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




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Conference proceedings 2023g 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..
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https://doi.org/10.1007/978-3-031-20096-0artificial intelligence; computer networks; computer science; computer security; computer systems; comput
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Swarm Intelligence for Multi-objective Portfolio Optimization,at multi-objective evolutionary algorithm based on decomposition (MOEA/D) and weighted optimization framework (WOF) perform significantly better than the other four in solving the high-dimensional objective problem, and WOF obtains a more uniform solution to the high-dimensional problem.
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Conference proceedings 2023g 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..
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Visualized Analysis of the Emerging Trends of Automated Audio Description Technology,ription, facilitated by deep learning, such as CNN, RNN, LSTM and their improvements. Knowledge-guided and data-driven learning methods may be possible solutions for computer understanding and generation of human-like description of videos.
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