HAND 发表于 2025-3-21 16:51:50
书目名称Collaborative Computing: Networking, Applications and Worksharing影响因子(影响力)<br> http://impactfactor.cn/2024/if/?ISSN=BK0229417<br><br> <br><br>书目名称Collaborative Computing: Networking, Applications and Worksharing影响因子(影响力)学科排名<br> http://impactfactor.cn/2024/ifr/?ISSN=BK0229417<br><br> <br><br>书目名称Collaborative Computing: Networking, Applications and Worksharing网络公开度<br> http://impactfactor.cn/2024/at/?ISSN=BK0229417<br><br> <br><br>书目名称Collaborative Computing: Networking, Applications and Worksharing网络公开度学科排名<br> http://impactfactor.cn/2024/atr/?ISSN=BK0229417<br><br> <br><br>书目名称Collaborative Computing: Networking, Applications and Worksharing被引频次<br> http://impactfactor.cn/2024/tc/?ISSN=BK0229417<br><br> <br><br>书目名称Collaborative Computing: Networking, Applications and Worksharing被引频次学科排名<br> http://impactfactor.cn/2024/tcr/?ISSN=BK0229417<br><br> <br><br>书目名称Collaborative Computing: Networking, Applications and Worksharing年度引用<br> http://impactfactor.cn/2024/ii/?ISSN=BK0229417<br><br> <br><br>书目名称Collaborative Computing: Networking, Applications and Worksharing年度引用学科排名<br> http://impactfactor.cn/2024/iir/?ISSN=BK0229417<br><br> <br><br>书目名称Collaborative Computing: Networking, Applications and Worksharing读者反馈<br> http://impactfactor.cn/2024/5y/?ISSN=BK0229417<br><br> <br><br>书目名称Collaborative Computing: Networking, Applications and Worksharing读者反馈学科排名<br> http://impactfactor.cn/2024/5yr/?ISSN=BK0229417<br><br> <br><br>Commodious 发表于 2025-3-21 23:32:00
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Failure” Service Pattern Mining for Exploratory Service Compositionining algorithm (FSPMA) for exploratory service composition, which extends the gSpan algorithm, and can mine “failure” service patterns from service composition processes for further reuse. Meanwhile, the exploratory service composition model and the service pattern model are explained for the FSPMAMETA 发表于 2025-3-22 11:05:18
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KTOBS: An Approach of Bayesian Network Learning Based on K-tree Optimizing Ordering-Based Searchy, it optimizes the network iteratively through switching nodes until the score of network no longer increases. The experimental results show that . can learn a network structure with higher accuracy than other .-tree algorithms in a given limited time..Availability and implementation: codes and exp嘴唇可修剪 发表于 2025-3-22 18:14:41
Attention Based Spatial-Temporal Graph Convolutional Networks for RSU Communication Load ForecastingU. Finally, according to the forecast of the future communication load, a RSU working mode alteration scheme is proposed with respect to the safety range amongst vehicles in order to control the corresponding area communication load. Compared with other models, our model has better accuracy and perfoccult 发表于 2025-3-23 00:05:21
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