Cyberspace Data and Intelligence, and Cyber-Living, Syndrome, and Health [electronic resource] : International 2020 Cyberspace Congress, CyberDI/CyberLife 2020, Beijing, China, December 10–12, 2020, Proceedings /

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.

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.