KI-Beratung Beta
Vor Ort
Merkzettel Warenkorb
  • Produktbild: Collaborative Computing: Networking, Applications and Worksharing
  • Produktbild: Collaborative Computing: Networking, Applications and Worksharing
Band 349

Collaborative Computing: Networking, Applications and Worksharing 16th EAI International Conference, CollaborateCom 2020, Shanghai, China, October 16–18, 2020, Proceedings, Part I

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

99,99 €

inkl. gesetzl. MwSt., Versandkostenfrei

Beschreibung

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...

Beschreibung

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. 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.

Produktdetails

Einband

Taschenbuch
Erscheinungsdatum

22.01.2021
Abbildungen

XVIII, 690 p. 346 illus., 271 illus. in color.
Herausgeber Honghao Gao + weitere

Produktdetails

Einband

Taschenbuch
Erscheinungsdatum

22.01.2021
Abbildungen

XVIII, 690 p. 346 illus., 271 illus. in color.
Herausgeber
Verlag Springer
Seitenzahl

690
Maße (L/B/H)

23,5/15,5/3,8 cm
Gewicht

1054 g
Auflage

1st ed. 2021
Sprache

Englisch
ISBN

978-3-030-67536-3
Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: ProductSafety@springernature.com

Noch keine Bewertungen vorhanden

Verfassen Sie die erste Bewertung zu diesem Artikel

Helfen Sie anderen Kundinnen und Kunden durch Ihre Meinung.

Kundinnen und Kunden meinen

Bewertungen (0)
  • Produktbild: Collaborative Computing: Networking, Applications and Worksharing
  • Produktbild: Collaborative Computing: Networking, Applications and Worksharing
  • Collaborative Applications for Network and E-Commerce.- Artificial Intelligence.- AI Application and Optimization.- Classification and Recommendation.- Internet of Things.- Towards Accurate Search for E-Commerce in Steel Industry: A Knowledge-Graph-Based Approach.- WSN Coverage Optimization Based on Two-Stage PSO.- A covert ultrasonic phone-to-phone communication scheme.- An Efficient and Truthful Online Incentive Mechanism for a Social Crowdsensing Network.- CPNSA: Cascade Prediction With Network Structure Attention.- Speech2Stroke: Generate Chinese Character Strokes Directly from Speech.- TAB: CSI Lossless Compression for MU-MIMO Network.- Towards Mobility-Aware Dynamic Service Migration in Mobile Edge Computing.- Research on Debugging Interaction of IoT Devices Based on Visible Light Communication.- Attacking the Dialogue System at Smart Home Boosting the performance of object detection CNNs with context-based anomaly detection.- The Design and Implementation of Secure Distributed Image Classification Model Training System for Heterogenous Edge Computing.- HIM: A Systematic Model to Evaluate the Health of Platform-based Service Ecosystems.- SETE: A Trans-boundary Evolution Model of Service Ecosystem Based on Diversity Measurement.- A DNN Inference Acceleration Algorithm in Heterogeneous Edge Computing: Joint Task Allocation and Model Partition.- A Novel Probabilistic-Performance-Aware and Evolutionary Game-theoretic Approach to Task Offloading in the Hybrid Cloud-Edge Environment.- Identification of Sequential Feature for Volcanic Ash.- Cloud Using FNN-LSTM Collaborative Computing.- Hybrid CF on Modeling Feature Importance with Joint Denoising AutoEncoder and SVD++.- Sentiment Analysis of Film Reviews Based on Deep.