Abeyance
发表于 2025-3-21 17:16:19
书目名称Complex, Intelligent and Software Intensive Systems影响因子(影响力)<br> http://impactfactor.cn/2024/if/?ISSN=BK0242231<br><br> <br><br>书目名称Complex, Intelligent and Software Intensive Systems影响因子(影响力)学科排名<br> http://impactfactor.cn/2024/ifr/?ISSN=BK0242231<br><br> <br><br>书目名称Complex, Intelligent and Software Intensive Systems网络公开度<br> http://impactfactor.cn/2024/at/?ISSN=BK0242231<br><br> <br><br>书目名称Complex, Intelligent and Software Intensive Systems网络公开度学科排名<br> http://impactfactor.cn/2024/atr/?ISSN=BK0242231<br><br> <br><br>书目名称Complex, Intelligent and Software Intensive Systems被引频次<br> http://impactfactor.cn/2024/tc/?ISSN=BK0242231<br><br> <br><br>书目名称Complex, Intelligent and Software Intensive Systems被引频次学科排名<br> http://impactfactor.cn/2024/tcr/?ISSN=BK0242231<br><br> <br><br>书目名称Complex, Intelligent and Software Intensive Systems年度引用<br> http://impactfactor.cn/2024/ii/?ISSN=BK0242231<br><br> <br><br>书目名称Complex, Intelligent and Software Intensive Systems年度引用学科排名<br> http://impactfactor.cn/2024/iir/?ISSN=BK0242231<br><br> <br><br>书目名称Complex, Intelligent and Software Intensive Systems读者反馈<br> http://impactfactor.cn/2024/5y/?ISSN=BK0242231<br><br> <br><br>书目名称Complex, Intelligent and Software Intensive Systems读者反馈学科排名<br> http://impactfactor.cn/2024/5yr/?ISSN=BK0242231<br><br> <br><br>
远足
发表于 2025-3-21 21:19:08
,Assessment of WMN-CS Intelligent Simulation System for Uniform, Weibull and Chi-Square Distribution performance of WMN-CS. In case of Uniform distribution of mesh clients, the convergence speed is faster than the Weibull and Chi-square distributions, but the converged value of NCMC is the lowest among these three distributions. In the case of Weibull distribution, the convergence speed is slower
cruise
发表于 2025-3-22 02:29:37
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落叶剂
发表于 2025-3-22 04:40:09
Complex, Intelligent and Software Intensive SystemsProceedings of the 1
地壳
发表于 2025-3-22 10:13:29
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BINGE
发表于 2025-3-22 13:45:29
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BINGE
发表于 2025-3-22 19:09:40
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休闲
发表于 2025-3-22 23:04:19
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BROOK
发表于 2025-3-23 02:06:51
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Optimum
发表于 2025-3-23 07:47:05
,Child Abuse Behaviors Identification from Surveillance Videos,amined in this study were pinching, kicking, slapping, and choking. Experimental results on the dataset of 12666 images related to these four behaviors and extracted from videos showed that the model built by YOLOv8 is better than the other. It obtained the IoU measure of 80.9% and the F1-score measure of 97%.