Collaborative Computing: Networking, Applications and Worksharing

16th EAI International Conference, CollaborateCom 2020, Shanghai, China, October 16–18, 2020, Proceedings, Part II

Häftad, Engelska, 2021

Del i serien Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Beskrivning

This two-volume set constitutes the refereed proceedings of the 16th International Conference on Collaborative Computing: Networking, Applications, and Worksharing, CollaborateCom 2020, held in Shanghai, China, in October 2020.The 61 full papers and 16 short papers presented were carefully reviewed and selected from 211 submissions.

Produktinformation

Utgivningsdatum:2021-01-22
Mått:155 x 235 x 32 mm
Vikt:890 g
Format:Häftad
Språk:Engelska
Serie:Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
Antal sidor:578
Upplaga:21001
Förlag:Springer Nature Switzerland AG
ISBN:9783030675394

Utforska kategorier

Innehållsförteckning

Artificial Intelligence.- AI Application and Optimization.- Classification and Recommendation.- Internet of Things.- Collaborative Robotics and Autonomous Systems.- Smart Transportation.- Self-organised Flocking with Simulated Homogeneous Robotic Swarm.- Investigation of Cue-based Aggregation Behaviour in Complex Environments.- Towards Efficient and Privacy-Preserving Service QoS.- Prediction with Federated Learning.- A Reinforcement Learning based Approach to Identify Resource Bottlenecks for Multiple Services Interactions in Cloud Computing Environments.- Differentially Private Location Protection with Staircase Mechanism under Temporal Correlations.- Resource Management.- Mobile Edge Server Placement Based on Bionic Swarm Intelligent Optimization Algorithm.- A MOEAD-based Approach to Solving the Staff Scheduling Problem.- A deep reinforcement learning based resource autonomic provisioning approach for cloud services.- End-to-end QoS Aggregation and Container Allocation for Complex Microservice Flows.- A DQN-based Approach for Online Service Placement in Mobile Edge Computing.- A Hybrid Collaborative Virtual Environment with Heterogeneous Representations for Architectural Planning.- Smart Transportation.- T2I-CycleGAN: A CycleGAN for Maritime Road Network Extraction from Crowdsourcing Spatio-Temporal AIS Trajectory Data.- Where is the Next Path? A Deep Learning Approach to Path Prediction without Prior Road Networks HMM-based Traffic State Prediction And Adaptive Routing Method In VANETs.- A Hybrid Deep Learning Approach for Traffic Flow Prediction in Highway Domain.- HomoNet: Unified License Plate Detection andRecognition in Complex Scenes.