Collaborative Computing: Networking, Applications and Worksharing

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.