Cyberspace Data and Intelligence, and Cyber-Living, Syndrome, and Health
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Cyberspace Data and Intelligence, and Cyber-Living, Syndrome, and Health

Cyberspace Data and Intelligence, and Cyber-Living, Syndrome, and Health


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About the Book

Machine Learning.- Safety Supervision for Coal Mines Using Machine Learning Methods.- Iterative Optimization for Edge Federated Learning.- Machinery Health Prognostics of Dust Removal Fan Data through Deep Neural Networks.- Numeric CNNs: CNNs for Reading Numeric Characters on Meters.- DeepTSW: An Urban Traffic Safety Warning Framework based on Bayesian Deep Learning.- A Multimodal Semantic Model of Packaging Sorting Field Based on Deep Learning.- Classification of Autism based on fMRI Data with Feature-fused Convolutional Neural Network.- Ubiquitous and Intelligent Computing.- Topic Logistics Based on Node Resource Status.- Summarization of Coal Mine Accident Reports: A Natural-Language-Processing-Based Approach.- The College Student Credit Evaluation based on Characteristic Data.- Research on Human Pose Estimation and Object Detection in the Field of Unmanned Retail.- Edge Computing-based Solution and Framework for Software-Defined Industrial Intelligent Control in Industrial Internet of Things.- Wi-Sector - A Novel Sector-based WiFi Scheduling.


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Product Details
  • ISBN-13: 9789813343351
  • Publisher: Springer
  • Publisher Imprint: Springer
  • Height: 234 mm
  • No of Pages: 163
  • Series Title: Communications in Computer and Information Science
  • Sub Title: International 2020 Cyberspace Congress, Cyberdi/Cyberlife 2020, Beijing, China, December 10-12, 2020, Proceedings
  • Width: 156 mm
  • ISBN-10: 9813343354
  • Publisher Date: 14 Nov 2020
  • Binding: Paperback
  • Language: English
  • Returnable: Y
  • Spine Width: 10 mm
  • Weight: 308 gr


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