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

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...

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Bibliographic Details
Other Authors: Gao, Honghao (Editor), Wang, Xinheng (Editor), Iqbal, Muddesar (Editor), Yin, Yuyu (Editor)
Format: eBook
Language:English
Published: Cham Springer International Publishing 2021, 2021
Edition:1st ed. 2021
Series:Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
Subjects:
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Table of Contents:
  • 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