ShopSpell

Green, Pervasive, and Cloud Computing: 19th International Conference, GPC 2024, Macao, China, September 2730, 2024, Proceedings [Paperback]

$95.99     $139.99    31% Off      ($100.00 Shipping)
100 available
  • Category: Books (Computers)
  • ISBN-10:  9819513456
  • ISBN-10:  9819513456
  • ISBN-13:  9789819513451
  • ISBN-13:  9789819513451
  • Publisher:  Springer
  • Publisher:  Springer
  • Binding:  Paperback
  • Binding:  Paperback
  • SKU:  9819513456-11-SPRI
  • SKU:  9819513456-11-SPRI
  • Pages:  229
  • Pages:  229
  • Item ID: 106888373
  • List Price: $139.99
  • Seller: ShopSpell
  • Ships in: 2 business days
  • Transit time: Up to 4 business days
  • Delivery by: Sep 29 to Oct 01
This book, LNCS 15225, constitutes the refereed proceedings of the 19th International Conference on Green, Pervasive, and Cloud Computing, GPC 2024, which took place in Macao, China, during September 27–30, 2024.  
 
The 13 full papers were carefully reviewed and selected from 33 submissions. They were organized in topical sections as follows: Cyber-Physical-Social Systems; Edge Intelligence; Industrial Digitization and Applications; Mobile Sensing and Computing; and Wireless and Ubiquitous Networking.

.- Cyber-Physical-Social System.

.- Image-text Sentiment Analysis Based on Cross-Modal Interactive Attention.

.- Research on Robot Path and Joint Angle Optimisation Based on the A* and Simulated Annealing Algorithms.

.- Stock Price Prediction Based on Investor Sentiment Analysis and CNNLSTM-Attention Model.

.- Losslessly Selective Chaotic Encryption for Medical Images Based on U2- Net and Stegonography.

.- Edge Intelligence.

.- Accelerating Large-Scale GNN by Combining k-Hop Neighbors Based Feature Caching and Hierarchical GPU-Centric Data Access.

.- A Survey of Deep Model Compression and Acceleration.

.- Industrial Digitization and Applications.

.- Design and Realization of Neural Network-Based Intelligent Control System for Aeronautical Applications.

.- A Semi-Supervised Learning Approach for Anomaly Detection in Multidimensional Time Series Data.

.- Design of a Highly Robust Regression Rule Mining lc'

Add Review