DeepTSW: An Urban Traffic Safety Warning Framework Based on Bayesian Deep Learning
As a part of the smart city, urban traffic safety has always received strong attention. For urban traffic safety, previous work often relies on some additional features and machine learning models, mainly considering whether accidents can be accurately pr
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Communications in Computer and Information Science
1329
Cyberspace Data and Intelligence, and Cyber-Living, Syndrome, and Health International 2020 Cyberspace Congress, CyberDI/CyberLife 2020 Beijing, China, December 10–12, 2020 g Proceedings
Communications in Computer and Information Science Editorial Board Members Joaquim Filipe Polytechnic Institute of Setúbal, Setúbal, Portugal Ashish Ghosh Indian Statistical Institute, Kolkata, India Raquel Oliveira Prates Federal University of Minas Gerais (UFMG), Belo Horizonte, Brazil Lizhu Zhou Tsinghua University, Beijing, China
1329
More information about this series at http://www.springer.com/series/7899
Huansheng Ning Feifei Shi (Eds.) •
Cyberspace Data and Intelligence, and Cyber-Living, Syndrome, and Health International 2020 Cyberspace Congress, CyberDI/CyberLife 2020 Beijing, China, December 10–12, 2020 Proceedings
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Editors Huansheng Ning University of Science and Technology Beijing Beijing, China
Feifei Shi University of Science and Technology Beijing Beijing, China
ISSN 1865-0929 ISSN 1865-0937 (electronic) Communications in Computer and Information Science ISBN 978-981-33-4335-1 ISBN 978-981-33-4336-8 (eBook) https://doi.org/10.1007/978-981-33-4336-8 © Springer Nature Singapore Pte Ltd. 2020 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, expressed or implied, with respect to the material contained herein or for any errors or omissions that may have been made. The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. This Springer imprint is published by the registered company Springer Nature Singapore Pte Ltd. The registered company address is: 152 Beach Road, #21-01/04 Gateway East, Singapore 189721, Singapore
Preface
The volume contains the papers from the 2020 Cyberspace Congress (CyberCon 2020) which includes the International Conference on Cyberspace Data and Intelligence (CyberDI 2020) and the International Conference on Cyber-Living, Cyber-Syndrome and Cyber-Health (CyberLife 2020) held online during December 10–12, 2020. The recent advances in Smart IoT and Ar
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