乳钵 发表于 2025-3-21 16:50:14
书目名称Computational Collective Intelligence影响因子(影响力)<br> http://impactfactor.cn/if/?ISSN=BK0232183<br><br> <br><br>书目名称Computational Collective Intelligence影响因子(影响力)学科排名<br> http://impactfactor.cn/ifr/?ISSN=BK0232183<br><br> <br><br>书目名称Computational Collective Intelligence网络公开度<br> http://impactfactor.cn/at/?ISSN=BK0232183<br><br> <br><br>书目名称Computational Collective Intelligence网络公开度学科排名<br> http://impactfactor.cn/atr/?ISSN=BK0232183<br><br> <br><br>书目名称Computational Collective Intelligence被引频次<br> http://impactfactor.cn/tc/?ISSN=BK0232183<br><br> <br><br>书目名称Computational Collective Intelligence被引频次学科排名<br> http://impactfactor.cn/tcr/?ISSN=BK0232183<br><br> <br><br>书目名称Computational Collective Intelligence年度引用<br> http://impactfactor.cn/ii/?ISSN=BK0232183<br><br> <br><br>书目名称Computational Collective Intelligence年度引用学科排名<br> http://impactfactor.cn/iir/?ISSN=BK0232183<br><br> <br><br>书目名称Computational Collective Intelligence读者反馈<br> http://impactfactor.cn/5y/?ISSN=BK0232183<br><br> <br><br>书目名称Computational Collective Intelligence读者反馈学科排名<br> http://impactfactor.cn/5yr/?ISSN=BK0232183<br><br> <br><br>Nutrient 发表于 2025-3-22 00:00:31
http://reply.papertrans.cn/24/2322/232183/232183_2.pngFibrinogen 发表于 2025-3-22 03:52:33
An Architecture for Enabling Collective Intelligence in IoT Networksto malicious attacks similar to other networks. Additionally, physical tampering, injection and capturing of the nodes are more probable in IoT networks. Therefore, conventional security practices require substantial re-engineering for IoT networks. Here we present an architecture that enables colle聋子 发表于 2025-3-22 04:35:12
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Agent Based Model of Elementary School Group Learning – A Case Studymost frequently found in pedagogical literature about active and group learning. The model main objective is to forecast the change in the student’s knowledge. We simulated and compared knowledge changes during individual learning and cooperative learning with different group composition. The observPepsin 发表于 2025-3-22 14:47:09
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Automatic Quantization of Convolutional Neural Networks Based on Enhanced Bare-Bones Particle SwarmHowever, their large number of parameters makes them impractical for deployment on limited-resource devices. To address this issue, we propose a neural network quantization (NNQ) method that reduces the complexity of CNNs for X-ray image classification, while maintaining their original accuracy. Ou