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Artificial Intelligence in China

Proceedings of the International Conference on Artificial Intelligence in China

  • Conference proceedings
  • © 2020

Overview

Editors:
  1. Qilian Liang

    1. Department of Electrical Engineering, University of Texas at Arlington, Arlington, USA

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  2. Wei Wang

    1. Tianjin, China

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  3. Jiasong Mu

    1. Department of Electronic and Communication Engineering, Tianjin Normal University, Tianjin, China

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  4. Xin Liu

    1. School of Information and Communication Engineering, Dalian University of Technology, Dalian, China

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  5. Zhenyu Na

    1. School of Information Science and Technology, Dalian Maritime University, Dalian, China

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  6. Bingcai Chen

    1. School of Computer Science and Technology, Dalian University of Technology, Dalian, China

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  • Collects selected papers presented at the International Conference on Artificial Intelligence in China (ChinaAI) 2019
  • Reflects the latest developments in Artificial Intelligence in China
  • Disseminates the theory and applications of Artificial Intelligence
  • Promotes the commercialization and technology transfer of Artificial Intelligence

Part of the book series: Lecture Notes in Electrical Engineering (LNEE, volume 572)

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Table of contents (79 papers)

  1. Front Matter

    Pages i-xi
    Download chapter PDF

  2. Global Descriptors of Convolution Neural Networks for Remote Scene Images Classification

    • Q. Wang, Qian Ning, X. Yang, Bingcai Chen, Yinjie Lei, C. Zhao et al.
    Pages 1-11

  3. Plant Diseases Identification Based on Binarized Neural Network

    • Xiufu Pu, Qian Ning, Yinjie Lei, Bingcai Chen, Tiantian Tang, Ruiheng Hu
    Pages 12-19

  4. Hand Detection Based on Multi-scale Fully Convolutional Networks

    • Yibo Li, MingMing Shi, Xiangbo Lin
    Pages 20-27

  5. Research on UAV Cluster’s Operation Strategy Based on Reinforcement Learning Approach

    • Yi Mao, Yuxin Hu
    Pages 28-35

  6. Analysis and Experimental Research on Data Characteristics of BDS Positioning Error

    • He Li, Yi Mao, Yongjie Yan, Xiaozhu Shi
    Pages 36-45

  7. Design of Elderly Fall Detection Based on XGBoost

    • Min Xiao, Yuanjian Huang, Yuanheng Wang, Weidong Gao
    Pages 46-57

  8. Segmentation of Aerial Image with Multi-scale Feature and Attention Model

    • Shiyu Hu, Qian Ning, Bingcai Chen, Yinjie Lei, Xinzhi Zhou, Hua Yan et al.
    Pages 58-66

  9. Recurrent Neural Detection of Time–Frequency Overlapped Interference Signals

    • Qianqian Wu, Zhuo Sun, Xue Zhou
    Pages 67-75

  10. Risk Analysis of Lateral Collision of Military and Civil Aviation Aircraft Based on Event Model

    • Guhao Zhao, Shaojie Mao, Yi Mao, Xiaoqiang Zhang, Yarong Wu
    Pages 76-86

  11. Imbalanced Data Classification with Deep Support Vector Machines

    • Li Zhang, Wei Wang, Mengjun Zhang, Zhixiong Wang
    Pages 87-95

  12. An Incident Identification Method Based on Improved RCNN

    • Han He, Haijun Zhang, Sheng Lv, Bingcai Chen
    Pages 96-104

  13. Latency Estimation of Big Data Processing Under the MapReduce Framework with Coupling Effects

    • Di Lin, Lingshuang Cai, Xiaofeng Zhang, Xiao Zhang, Jiazhi Huo
    Pages 105-112

  14. Zone-Based Resource Allocation Strategy for Heterogeneous Spark Clusters

    • Yao Qin, Yu Tang, Xun Zhu, Chuanxiang Yan, Chenyao Wu, Di Lin
    Pages 113-121

  15. Battle Prediction System in StarCraft Combined with Topographic Considerations

    • ChengZhen Meng, Yu Tang, ChenYao Wu, Di Lin
    Pages 122-130

  16. Task Scheduling Strategy for Heterogeneous Spark Clusters

    • Yu Liang, Yu Tang, Xun Zhu, Xiaoyuan Guo, Chenyao Wu, Di Lin
    Pages 131-138

  17. Research on Multi-priority Task Scheduling Algorithms for Mobile Edge Computing

    • Yanrong Zhu, Yu Tang, Chenyao Wu, Di Lin
    Pages 139-147

  18. Microblog Rumor Detection Based on Comment Sentiment and CNN-LSTM

    • Sheng Lv, Haijun Zhang, Han He, Bingcai Chen
    Pages 148-156

  19. A Guideline for Object Detection Using Convolutional Neural Networks

    • Xingguo Zhang, Guoyue Chen, Kazuki Saruta, Yuki Terata
    Pages 157-164

  20. Research on Prediction Model of Gas Emission Based on Lasso Penalty Regression Algorithm

    • Qian Chen, Lianbing Huang
    Pages 165-172
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Keywords

About this book

This book brings together papers presented at the International Conference on Artificial Intelligence in China (ChinaAI) 2019, which provided a venue for disseminating the latest advances and discussing the interactions and links between the various subfields of AI. Addressing topics that cover virtually all aspects of AI and the latest developments in China, the book is chiefly intended for undergraduate and graduate students in Electrical Engineering, Computer Science, and Mathematics, for researchers and engineers from academia and industry, and for government employees (e.g. at the NSF, DOD, and DOE). 

Editors and Affiliations

  • Department of Electrical Engineering, University of Texas at Arlington, Arlington, USA

    Qilian Liang

  • Tianjin, China

    Wei Wang

  • Department of Electronic and Communication Engineering, Tianjin Normal University, Tianjin, China

    Jiasong Mu

  • School of Information and Communication Engineering, Dalian University of Technology, Dalian, China

    Xin Liu

  • School of Information Science and Technology, Dalian Maritime University, Dalian, China

    Zhenyu Na

  • School of Computer Science and Technology, Dalian University of Technology, Dalian, China

    Bingcai Chen

About the editors

Dr. Qilian Liang is a Professor at the Department of Electrical Engineering, University of Texas at Arlington (UTA), USA, where he has been working since August 2002. Prior to this, he was a member of the technical staff at Hughes Network Systems Inc. in San Diego, California. Dr. Liang received his B.S. degree from Wuhan University, China, in 1993; his M.S. degree from Beijing University of Posts and Telecommunications, China in 1996; and a Ph.D. degree from the University of Southern California (USC), Los Angeles, USA in May 2000, all in Electrical Engineering. His research interests include communications, signal processing and fuzzy logic systems. Dr. Liang has published more than 270 journal and conference papers, 6 book chapters, and has 6 U.S. patents pending. He received 2002 IEEE Transactions on Fuzzy Systems Outstanding Paper Award; 2003 U.S. Office of Naval Research (ONR) Young Investigator Award; 2005 UTA College of Engineering Outstanding Young Faculty Award; 2007,2009, 2010 U.S. Air Force Summer Faculty Fellowship Program Award; 2012 UTA College of Engineering Excellence in Research Award; 2013 UTA Outstanding Research Achievement or Creative Activity Award; and was inducted into UTA Academy of Distinguished Scholars in 2015.

 


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