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Collaborative Computing: Networking, Applications and Worksharing 18th EAI International Conference, CollaborateCom 2022, Hangzhou, China, October 15-16, 2022, Proceedings, Part II

Aus der Reihe Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

25.01.2023

Abbildungen

XX, 535 p. 211 illus., 178 illus. in color.

Herausgeber

Honghao Gao + weitere

Verlag

Springer

Seitenzahl

535

Maße (L/B/H)

23,5/15,5/3 cm

Gewicht

832 g

Auflage

1st ed. 2023

Sprache

Englisch

ISBN

978-3-031-24385-1

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

25.01.2023

Abbildungen

XX, 535 p. 211 illus., 178 illus. in color.

Herausgeber

Verlag

Springer

Seitenzahl

535

Maße (L/B/H)

23,5/15,5/3 cm

Gewicht

832 g

Auflage

1st ed. 2023

Sprache

Englisch

ISBN

978-3-031-24385-1

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: ProductSafety@springernature.com

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  • Produktbild: Collaborative Computing: Networking, Applications and Worksharing
  • Produktbild: Collaborative Computing: Networking, Applications and Worksharing
  • Security and Privacy Protection.-  A Novel Risk Assessment Method Based on Hybrid Algorithm for SCADA.- A Visual Tool for Interactively Privacy Analysis and Preservation on Order-Dynamic Tabular Data.- Prevention of GAN-based Privacy Inferring Attacks towards Federated Learning.- ACS: An Efficient Messaging System With Strong Tracking-resistance.- Anti-Clone: A Lightweight Approach for RFID Cloning Attacks Detection.- A Privacy-Preserving Lightweight Energy Data Sharing Scheme based on Blockchain for Smart Grid.- Dynamic Trust-Based Resource Allocation Mechanism for Secure Edge Computing.- A Stochastic Gradient Descent Algorithm Based on Adaptive Differential Privacy.- Evading Encrypted Traffic Classifiers by Transferable Adversarial Traffic.- A Secure Auction Mechanism for Task Allocation in Mobile Crowdsensing.-  Deep Learning and application.-  A Pareto-EfficientTask-Allocation Framework based on Deep Reinforcement Learning Algorithm in MEC.- An Adaptive Ensembled Neural Network-based Approach to IoT Device Identification.- Fine-grained Head Pose Estimation Based on 6D Rotation Representation with Multiregression Loss.- Purpose Driven Biological Lawsuit Modeling and Analysis Based on DIKWP.- Research on Depth-adaptive Dual-arm Collaborative Grasping Method.-  Collaborative working.-  Semantic SLAM for mobile robot with Human-In-the-Loop. -Incorporating Feature Labeling into Crowdsourcing for More Accurate Aggregation Labels.- Cost Performance Driven Multi-Request Allocation in D2D Service Provision Systems.- Collaborative Mobile Edge Computing through UPF Selection.- Deep Reinforcement Learning for Multi-UAV Exploration under Energy Constraints.- Optimization of Large-Scale Knowledge Forward Reasoning Based on OWL 2 DL Ontology.- ITAR:A Method for Indoor RFID Trajectory Automatic Recovery.- A Longitudinal Measurement and Analysis of Pink, a Hybrid P2P IoT Botnet.- VT-GAT: A Novel VPN Encrypted Traffic Classification Model Based on Graph Attention Neural Network.-  Images processing and recognition.-  Landmark Detection Based on Human Activity Recognition for Automatic Floor Plan Construction.- Facial Action Unit Detection by exploring the weak relationships between AU labels.- An improved dual-subnet lane line detection model with a channel attention mechanism for complex environments.- Facial Expression Recognition Based on Deep Spatiotemporal Attention Network.