interleukins
发表于 2025-3-21 18:46:38
书目名称Collaborative Computing: Networking, Applications and Worksharing影响因子(影响力)<br> http://impactfactor.cn/if/?ISSN=BK0229420<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/ifr/?ISSN=BK0229420<br><br> <br><br>书目名称Collaborative Computing: Networking, Applications and Worksharing网络公开度<br> http://impactfactor.cn/at/?ISSN=BK0229420<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/atr/?ISSN=BK0229420<br><br> <br><br>书目名称Collaborative Computing: Networking, Applications and Worksharing被引频次<br> http://impactfactor.cn/tc/?ISSN=BK0229420<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/tcr/?ISSN=BK0229420<br><br> <br><br>书目名称Collaborative Computing: Networking, Applications and Worksharing年度引用<br> http://impactfactor.cn/ii/?ISSN=BK0229420<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/iir/?ISSN=BK0229420<br><br> <br><br>书目名称Collaborative Computing: Networking, Applications and Worksharing读者反馈<br> http://impactfactor.cn/5y/?ISSN=BK0229420<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/5yr/?ISSN=BK0229420<br><br> <br><br>
chiropractor
发表于 2025-3-21 20:43:03
Investigation of Cue-Based Aggregation Behaviour in Complex Environmentsed on a custom open-source simulation platform, ., using . robots. The results showed that the aggregation behaviour with BEECLUST strategy was able to overcome a certain degree of environmental complexities revealing the robustness of the method. We also verified these results using our stock-flow
细微的差异
发表于 2025-3-22 03:59:19
Towards Efficient and Privacy-Preserving Service QoS Prediction with Federated Learningis challenge. We further propose several efficiency improvement techniques to significantly reduce system overhead so that the prediction model can provide results quickly and timely. We conduct experiments on a large-scale real-world QoS dataset to evaluate our approach, and the experimental result
kidney
发表于 2025-3-22 06:26:13
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BLINK
发表于 2025-3-22 12:03:40
Mobile Edge Server Placement Based on Bionic Swarm Intelligent Optimization Algorithm. After many iterations, we gradually approach the optimal target. So, the optimal placement scheme is obtained to achieve the goals of minimizing the distance for users to access the edge server and balancing the workload. The GSOESP algorithm is similar to a fast clustering algorithm with good tim
Mosaic
发表于 2025-3-22 13:06:26
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Mosaic
发表于 2025-3-22 19:51:57
A Deep Reinforcement Learning Based Resource Autonomic Provisioning Approach for Cloud Serviceson to obtain as much profit as possible. In this paper, Experimental results using actual Google cluster tracking results show that the proposed policy reduces the total cost about 17%–58% and increases the profit by up to not less than 9%, reduces the service level agreement (SLA) violations to les
Outwit
发表于 2025-3-23 01:15:18
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洞察力
发表于 2025-3-23 01:57:37
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Demulcent
发表于 2025-3-23 07:20:06
Where Is the Next Path? A Deep Learning Approach to Path Prediction Without Prior Road Networksnetwork constrains without depending on prior road network information. More specifically, our approach extracts road segment polygons from large scale crowdsourcing trajectory data (e.g. AIS positions of ships, GPS positions of vehicles etc.) and translates trajectories into road segment sequences.