加冕
发表于 2025-3-21 17:19:24
书目名称Recent Advances on Soft Computing and Data Mining影响因子(影响力)<br> http://impactfactor.cn/if/?ISSN=BK0823079<br><br> <br><br>书目名称Recent Advances on Soft Computing and Data Mining影响因子(影响力)学科排名<br> http://impactfactor.cn/ifr/?ISSN=BK0823079<br><br> <br><br>书目名称Recent Advances on Soft Computing and Data Mining网络公开度<br> http://impactfactor.cn/at/?ISSN=BK0823079<br><br> <br><br>书目名称Recent Advances on Soft Computing and Data Mining网络公开度学科排名<br> http://impactfactor.cn/atr/?ISSN=BK0823079<br><br> <br><br>书目名称Recent Advances on Soft Computing and Data Mining被引频次<br> http://impactfactor.cn/tc/?ISSN=BK0823079<br><br> <br><br>书目名称Recent Advances on Soft Computing and Data Mining被引频次学科排名<br> http://impactfactor.cn/tcr/?ISSN=BK0823079<br><br> <br><br>书目名称Recent Advances on Soft Computing and Data Mining年度引用<br> http://impactfactor.cn/ii/?ISSN=BK0823079<br><br> <br><br>书目名称Recent Advances on Soft Computing and Data Mining年度引用学科排名<br> http://impactfactor.cn/iir/?ISSN=BK0823079<br><br> <br><br>书目名称Recent Advances on Soft Computing and Data Mining读者反馈<br> http://impactfactor.cn/5y/?ISSN=BK0823079<br><br> <br><br>书目名称Recent Advances on Soft Computing and Data Mining读者反馈学科排名<br> http://impactfactor.cn/5yr/?ISSN=BK0823079<br><br> <br><br>
Harpoon
发表于 2025-3-21 21:28:51
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GULLY
发表于 2025-3-22 01:01:01
978-3-319-07691-1Springer International Publishing Switzerland 2014
Palter
发表于 2025-3-22 06:18:28
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发微光
发表于 2025-3-22 09:58:13
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针叶树
发表于 2025-3-22 15:35:07
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opalescence
发表于 2025-3-22 20:58:19
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津贴
发表于 2025-3-22 23:12:10
An Artificial Intelligence Technique for Prevent Black Hole Attacks in MANET,opose an intelligent preventing technique for AODV to prevent black hole attacks, which is called Shortest Secure Path for AODV (SSP-AODV). This intelligent technique is integrated A* and Floyd-Warshall’s algorithms. The simulation is conducted in Network Simulator 2. The results indicate that the p
Obstacle
发表于 2025-3-23 04:56:18
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有毛就脱毛
发表于 2025-3-23 08:20:51
CSLMEN: A New Cuckoo Search Levenberg Marquardt Elman Network for Data Classification,ity and Iris classification datasets are used. The simulation results show that the computational efficiency of the proposed CSLMEN training process is highly enhanced when coupled with the Cuckoo Search method.