Grievous 发表于 2025-3-21 18:24:59
书目名称Computational Intelligence in Recent Communication Networks影响因子(影响力)<br> http://impactfactor.cn/if/?ISSN=BK0232532<br><br> <br><br>书目名称Computational Intelligence in Recent Communication Networks影响因子(影响力)学科排名<br> http://impactfactor.cn/ifr/?ISSN=BK0232532<br><br> <br><br>书目名称Computational Intelligence in Recent Communication Networks网络公开度<br> http://impactfactor.cn/at/?ISSN=BK0232532<br><br> <br><br>书目名称Computational Intelligence in Recent Communication Networks网络公开度学科排名<br> http://impactfactor.cn/atr/?ISSN=BK0232532<br><br> <br><br>书目名称Computational Intelligence in Recent Communication Networks被引频次<br> http://impactfactor.cn/tc/?ISSN=BK0232532<br><br> <br><br>书目名称Computational Intelligence in Recent Communication Networks被引频次学科排名<br> http://impactfactor.cn/tcr/?ISSN=BK0232532<br><br> <br><br>书目名称Computational Intelligence in Recent Communication Networks年度引用<br> http://impactfactor.cn/ii/?ISSN=BK0232532<br><br> <br><br>书目名称Computational Intelligence in Recent Communication Networks年度引用学科排名<br> http://impactfactor.cn/iir/?ISSN=BK0232532<br><br> <br><br>书目名称Computational Intelligence in Recent Communication Networks读者反馈<br> http://impactfactor.cn/5y/?ISSN=BK0232532<br><br> <br><br>书目名称Computational Intelligence in Recent Communication Networks读者反馈学科排名<br> http://impactfactor.cn/5yr/?ISSN=BK0232532<br><br> <br><br>偶然 发表于 2025-3-21 22:49:26
http://reply.papertrans.cn/24/2326/232532/232532_2.pnglarder 发表于 2025-3-22 02:40:01
Deep Learning-Based Non-orthogonal Multiple Access for 5G and Beyond Networks,se many key technologies to achieve new levels of performance and efficiency. Some of the potential innovations in the 5G physical layer include Non-orthogonal Multiple Access (NOMA). The users are superimposed in the power domain, and the decoding mode is based on the Successive Interference Cancel萤火虫 发表于 2025-3-22 07:44:00
http://reply.papertrans.cn/24/2326/232532/232532_4.pngtooth-decay 发表于 2025-3-22 09:19:24
A Novel Unsupervised Learning Method for Intrusion Detection in Software-Defined Networks,he existing unsupervised ML/DL techniques suffer from high false positive rates since they consider any deviation from the normal behavior as intrusion. To alleviate this issue, IDS-IF isolates intrusions instead of profiling normal data samples. The proposed solution not only enhances the detectionJIBE 发表于 2025-3-22 15:34:38
Mining Electronic Health Records of Patients Using Linked Data for Ranking Diseases, well as their relations. Finally, we rank disease by calculating the similarity between vector representations of medical record of patients and vectors of the diseases identified labels. Our system achieved promising results that demonstrate the effectiveness of our approach.JIBE 发表于 2025-3-22 17:09:12
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http://reply.papertrans.cn/24/2326/232532/232532_8.pngresuscitation 发表于 2025-3-23 02:00:08
http://reply.papertrans.cn/24/2326/232532/232532_9.png使增至最大 发表于 2025-3-23 08:44:12
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