audiogram 发表于 2025-3-21 19:09:07
书目名称Computational Collective Intelligence. Technologies and Applications影响因子(影响力)<br> http://impactfactor.cn/if/?ISSN=BK0232190<br><br> <br><br>书目名称Computational Collective Intelligence. Technologies and Applications影响因子(影响力)学科排名<br> http://impactfactor.cn/ifr/?ISSN=BK0232190<br><br> <br><br>书目名称Computational Collective Intelligence. Technologies and Applications网络公开度<br> http://impactfactor.cn/at/?ISSN=BK0232190<br><br> <br><br>书目名称Computational Collective Intelligence. Technologies and Applications网络公开度学科排名<br> http://impactfactor.cn/atr/?ISSN=BK0232190<br><br> <br><br>书目名称Computational Collective Intelligence. Technologies and Applications被引频次<br> http://impactfactor.cn/tc/?ISSN=BK0232190<br><br> <br><br>书目名称Computational Collective Intelligence. Technologies and Applications被引频次学科排名<br> http://impactfactor.cn/tcr/?ISSN=BK0232190<br><br> <br><br>书目名称Computational Collective Intelligence. Technologies and Applications年度引用<br> http://impactfactor.cn/ii/?ISSN=BK0232190<br><br> <br><br>书目名称Computational Collective Intelligence. Technologies and Applications年度引用学科排名<br> http://impactfactor.cn/iir/?ISSN=BK0232190<br><br> <br><br>书目名称Computational Collective Intelligence. Technologies and Applications读者反馈<br> http://impactfactor.cn/5y/?ISSN=BK0232190<br><br> <br><br>书目名称Computational Collective Intelligence. Technologies and Applications读者反馈学科排名<br> http://impactfactor.cn/5yr/?ISSN=BK0232190<br><br> <br><br>美色花钱 发表于 2025-3-21 22:32:27
http://reply.papertrans.cn/24/2322/232190/232190_2.pngIngratiate 发表于 2025-3-22 02:04:14
http://reply.papertrans.cn/24/2322/232190/232190_3.pngpulse-pressure 发表于 2025-3-22 07:39:42
Partiality, Pursuit and Practicea new approach with a model presented with definitions and operations. The proposed algorithm based on this model finds out the sequential patterns with quadratic time to solve absolutely problems in Sequential Pattern Mining and significantly improve the speed of calculation and data analysis.收集 发表于 2025-3-22 12:35:35
Trends in the Foundations of Physicsdard HOG features description. This method is also efficient with different resolution and gesture poses under a variety of backgrounds, lighting, as well as individual human in crowds, and partial occlusions.WAG 发表于 2025-3-22 14:22:08
Structures and Structure Determinatione stabilizes soon and behave homogenously throughout the entire process operation based on the collective intelligence algorithms. Results indicated that type-2 FLS had better performance for the case of dataset with large data points (782-dataset) while SBLLM performed better for the small datasetWAG 发表于 2025-3-22 19:19:31
Integrating Multiple Experts for Correction Process in Interactive Recommendation Systemsence and find out a set of experts. Next, we measure a minimal inconsistency interval (MinIncInt) that might contain incorrect ratings. Finally, we propose solutions to correct the incorrect rating based on ratings from multiple experts.灯泡 发表于 2025-3-22 23:19:08
A New Approach for Problem of Sequential Pattern Mininga new approach with a model presented with definitions and operations. The proposed algorithm based on this model finds out the sequential patterns with quadratic time to solve absolutely problems in Sequential Pattern Mining and significantly improve the speed of calculation and data analysis.Optometrist 发表于 2025-3-23 01:55:36
Robust Human Detection Using Multiple Scale of Cell Based Histogram of Oriented Gradients and AdaBoodard HOG features description. This method is also efficient with different resolution and gesture poses under a variety of backgrounds, lighting, as well as individual human in crowds, and partial occlusions.广口瓶 发表于 2025-3-23 05:57:46
Modeling PVT Properties of Crude Oil Systems Based on Type-2 Fuzzy Logic Approach and Sensitivity Bae stabilizes soon and behave homogenously throughout the entire process operation based on the collective intelligence algorithms. Results indicated that type-2 FLS had better performance for the case of dataset with large data points (782-dataset) while SBLLM performed better for the small dataset