Collaborative Computing: Networking, Applications and Worksharing
Springer International Publishing (Verlag)
978-3-030-67539-4 (ISBN)
The 61 full papers and 16 short papers presented were carefully reviewed and selected from 211 submissions. The papers reflect the conference sessions as follows: Collaborative Applications for Network and E-Commerce; Optimization for Collaborate System; Cloud and Edge Computing; Artificial Intelligence; AI Application and Optimization; Classification and Recommendation; Internet of Things; Collaborative Robotics and Autonomous Systems; Smart Transportation.
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.
| Erscheinungsdatum | 23.01.2021 |
|---|---|
| Reihe/Serie | Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering |
| Zusatzinfo | XVIII, 578 p. 237 illus., 173 illus. in color. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Gewicht | 902 g |
| Themenwelt | Informatik ► Datenbanken ► Data Warehouse / Data Mining |
| Schlagworte | Applications • Artificial Intelligence • big data compressive • Communication Systems • Computer Hardware • Computer Networks • Computer Science • Computer systems • conference proceedings • Databases • Data communication systems • distributed computer systems • Distributed Systems • Engineering • Informatics • Information Processing • internet of things • Network Protocols • parallel processing systems • Research • Signal Processing • Telecommunication networks • telecommunication traffic • Wireless systems • wireless telecommunication systems |
| ISBN-10 | 3-030-67539-4 / 3030675394 |
| ISBN-13 | 978-3-030-67539-4 / 9783030675394 |
| Zustand | Neuware |
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