LH941
发表于 2025-3-21 18:43:11
书目名称Security with Intelligent Computing and Big-data Services影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0863619<br><br> <br><br>书目名称Security with Intelligent Computing and Big-data Services影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0863619<br><br> <br><br>书目名称Security with Intelligent Computing and Big-data Services网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0863619<br><br> <br><br>书目名称Security with Intelligent Computing and Big-data Services网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0863619<br><br> <br><br>书目名称Security with Intelligent Computing and Big-data Services被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0863619<br><br> <br><br>书目名称Security with Intelligent Computing and Big-data Services被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0863619<br><br> <br><br>书目名称Security with Intelligent Computing and Big-data Services年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0863619<br><br> <br><br>书目名称Security with Intelligent Computing and Big-data Services年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0863619<br><br> <br><br>书目名称Security with Intelligent Computing and Big-data Services读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0863619<br><br> <br><br>书目名称Security with Intelligent Computing and Big-data Services读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0863619<br><br> <br><br>
Acetabulum
发表于 2025-3-22 00:18:39
Security with Intelligent Computing and Big-data Services978-3-319-76451-1Series ISSN 2194-5357 Series E-ISSN 2194-5365
Narrative
发表于 2025-3-22 03:55:29
Sheng-Lung Peng,Shiuh-Jeng Wang,Ming ZhaoPresents the latest research results and development activities regarding information security and Intelligent Computing..Includes the Proceedings of the 2017 International Conference on Information S
扩张
发表于 2025-3-22 07:03:14
Advances in Intelligent Systems and Computinghttp://image.papertrans.cn/s/image/863619.jpg
进步
发表于 2025-3-22 10:26:46
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老巫婆
发表于 2025-3-22 12:52:35
A Social Tagging Recommendation Model Based on Improved Artificial Fish Swarm Algorithm and Tensor Dmposition algorithm with dynamic incremental updating. Finally, a comparative analysis between the proposed FTA algorithm and the two classical tag recommendation algorithms is conducted based on two sets of empirical data. The experimental results show that the FTA algorithm has better performance
争议的苹果
发表于 2025-3-22 17:51:57
A Noise Generation Scheme Based on Huffman Coding for Preserving Privacyre noise. The paper presents a noise matrix, a set of noise, which is based on this concept. Although this scheme may lead to data distortion by replace original value, but does not affect to data analysis. In the section of experiments, we consider running time of noise generation with integer numb
厌烦
发表于 2025-3-23 00:12:47
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manifestation
发表于 2025-3-23 04:36:47
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CRACY
发表于 2025-3-23 09:08:45
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