Cyberspace Data and Intelligence, and Cyber-Living, Syndrome, and Health (eBook, PDF)

International 2020 Cyberspace Congress, CyberDI/CyberLife 2020, Beijing, China, December 10-12, 2020, Proceedings
Redaktion: Ning, Huansheng; Shi, Feifei

• Format: PDF

Produktbeschreibung

This volume constitutes the proceedings of the Forth International Conference on Cyberspace Data and Intelligence, Cyber DI 2020, and the International Conference on Cyber-Living, Cyber-Syndrome, and Cyber-Health, CyberLife 2020, held under the umbrella of the 2020 Cyberspace Congress, held in Beijing, China, in December 2020.*

The 13 full papers presented were carefully reviewed and selected from 36 submissions. The papers are grouped in the following topics: machine learning and ubiquitous and intelligent computing.

* The conference was held virtually due to the COVID-19 pandemic.

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Produktdetails

• Verlag: Springer Nature Singapore
• Seitenzahl: 163
• Erscheinungstermin: 1. Dezember 2020
• Englisch
• ISBN-13: 9789813343368
• Artikelnr.: 62288303

Inhaltsangabe

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.