Titlebook: Collaborative Computing: Networking, Applications and Worksharing; 16th EAI Internation Honghao Gao,Xinheng Wang,Ning Gu Conference proceed

interleukins

书目名称Collaborative Computing: Networking, Applications and Worksharing影响因子(影响力)




书目名称Collaborative Computing: Networking, Applications and Worksharing影响因子(影响力)学科排名




书目名称Collaborative Computing: Networking, Applications and Worksharing网络公开度




书目名称Collaborative Computing: Networking, Applications and Worksharing网络公开度学科排名




书目名称Collaborative Computing: Networking, Applications and Worksharing被引频次




书目名称Collaborative Computing: Networking, Applications and Worksharing被引频次学科排名




书目名称Collaborative Computing: Networking, Applications and Worksharing年度引用




书目名称Collaborative Computing: Networking, Applications and Worksharing年度引用学科排名




书目名称Collaborative Computing: Networking, Applications and Worksharing读者反馈




书目名称Collaborative Computing: Networking, Applications and Worksharing读者反馈学科排名

chiropractor

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

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

BLINK

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

Mosaic

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

洞察力

Demulcent

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.