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Intelligent Computing Theories and Application

14th International Conference, ICIC 2018, Wuhan, China, August 15-18, 2018, Proceedings, Part II

  • De-Shuang Huang
  • Kang-Hyun Jo
  • Xiao-Long Zhang
Conference proceedings ICIC 2018

Part of the Lecture Notes in Computer Science book series (LNCS, volume 10955)

Also part of the Information Systems and Applications, incl. Internet/Web, and HCI book sub series (LNISA, volume 10955)

Table of contents

  1. Front Matter
    Pages I-XXIII
  2. Jun Zhang, Hui Lu, Yi Xia, Ting-Ting Han, Kai-Chao Miao, Ye-Qing Yao et al.
    Pages 1-10
  3. Qingxin Xiao, Weilu Li, Peng Chen, Bing Wang
    Pages 11-16
  4. Le Zou, Liang-Tu Song, Xiao-Feng Wang, Yan-Ping Chen, Qiong Zhou, Chen Zhang et al.
    Pages 54-60
  5. Xiu-Hong Yang, Ji-Xiang Du, Hong-Bo Zhang, Wen-Tao Fan
    Pages 67-76
  6. Min Pan, Yue Zhang, Tingting He, Xingpeng Jiang
    Pages 93-99
  7. Xue-Fei Zhang, Ai-Ping Zeng, Shan Huang, Ming Qing, Yi Zhou
    Pages 100-107
  8. Yu-Qiu Chen, Zhan-Li Sun, Nan Wang, Xin-Yuan Bao
    Pages 108-112
  9. Yong Fang, Jianfeng Gu
    Pages 143-152
  10. Li Feng, Xiaofeng Wang, Dongfang Chen
    Pages 153-164
  11. Kaijie Feng, Kunhong Liu, Beizhan Wang
    Pages 165-173
  12. Jie Zhang, Liping Zheng, Lijuan Zheng, Junyan Ge
    Pages 182-193
  13. Min Zhu, Xiaolai Li, Shujie Wang, Wei Guo, Xueling Li
    Pages 205-216
  14. Meng Cao, Dancheng Li, Zhitao Lin, Cheng Niu, Chen Ding
    Pages 217-222
  15. Yake Wang, Min Li, Ruiqing Zheng, Xinghua Shi, Yaohang Li, Fangxiang Wu et al.
    Pages 223-226
  16. Hao Liang, Feiyang Gu, Chaohua Sheng, Qiong Duan, Bo Tian, Jun Wu et al.
    Pages 227-231
  17. Jialu Hu, Junhao He, Yiqun Gao, Yan Zheng, Xuequn Shang
    Pages 241-246
  18. Deshun Sun, Siyuan Chen, Fei Liu, Jizhuang Fan
    Pages 247-258
  19. Beiji Zou, Qilin Chen, Rongchang Zhao, Pingbo Ouyang, Chengzhang Zhu, Xuanchu Duan
    Pages 259-264
  20. Mengfei Guo, Yanan Yu, Tiancai Wen, Xiaoping Zhang, Baoyan Liu, Jin Zhang et al.
    Pages 272-278
  21. Yongqing Zhang, Shaojie Qiao, Shengjie Ji, Jiliu Zhou
    Pages 301-306
  22. Edmundo Bonilla-Huerta, Roberto Morales-Caporal, M. Antonio Arjona-López
    Pages 307-317
  23. Jun Meng, Dingling Jiang, Zheng Chang, Yushi Luan
    Pages 318-329
  24. Yanglan Gan, Zhiyuan Dong, Xia Zhang, Guobing Zou
    Pages 330-336
  25. Zhao-Hui Zhan, Zhu-Hong You, Yong Zhou, Li-Ping Li, Zheng-Wei Li
    Pages 337-344
  26. Marzio Pennisi, Gabriele Forzano, Giulia Russo, Barbara Tomasello, Marco Favetta, Marcella Renis et al.
    Pages 345-352
  27. Haomin Gan, Jing Hu, Xiaolong Zhang, Qianqian Huang, Jiafu Zhao
    Pages 353-364
  28. Yu Geng, Zhongmeng Zhao, Mingzhe Xu, Xuanping Zhang, Xiao Xiao, Jiayin Wang
    Pages 371-382
  29. Ru Yang, Hongjie Wu, Qiming Fu, Tao Ding, Cheng Chen
    Pages 383-388
  30. Sisi Chen, Dan Liu, Jia Zheng, Pingtao Chen, Xiaohua Hu, Xingpeng Jiang
    Pages 389-394
  31. Yan-Zhe Di, Peng Chen, Chun-Hou Zheng
    Pages 395-400
  32. Yannan Bin, Xiaojuan Wang, Qizhi Zhu, Pengbo Wen, Junfeng Xia
    Pages 401-406

Other volumes

  1. 14th International Conference, ICIC 2018, Wuhan, China, August 15-18, 2018, Proceedings, Part I
  2. Intelligent Computing Theories and Application
    14th International Conference, ICIC 2018, Wuhan, China, August 15-18, 2018, Proceedings, Part II
  3. 14th International Conference, ICIC 2018, Wuhan, China, August 15-18, 2018, Proceedings, Part III

About these proceedings

Introduction

This two-volume set LNCS 10954 and LNCS 10955 constitutes - in conjunction with the volume LNAI 10956 - the refereed proceedings of the 14th International Conference on Intelligent Computing, ICIC 2018, held in Wuhan, China, in August 2018. The 275 full papers and 72 short papers of the three proceedings volumes were carefully reviewed and selected from 632 submissions. The papers are organized in topical sections such as Neural Networks.- Pattern Recognition.- Image Processing.- Intelligent Computing in Robotics.- Intelligent Control and Automation.- Intelligent Data Analysis and Prediction.- Fuzzy Theory and Algorithms.- Supervised Learning.- Unsupervised Learning.- Kernel Methods and Supporting Vector Machines.- Knowledge Discovery and Data Mining.- Natural Language Processing and Computational Linguistics.- Gene Expression Array Analysis.- Systems Biology.- Computational Genomics.- Computational Proteomics.- Gene Regulation Modeling and Analysis.- Protein-Protein Interaction Prediction.- Next-Gen Sequencing and Metagenomics.- Structure Prediction and Folding.- Evolutionary Optimization for Scheduling.- High-Throughput Biomedical Data Integration and Mining.- Machine Learning Algorithms and Applications.- Heuristic Optimization Algorithms for Real-World Applications.- Evolutionary Multi-Objective Optimization and Its Applications.- Swarm Evolutionary Algorithms for Scheduling and Combinatorial.- Optimization.- Swarm Intelligence and Applications in Combinatorial Optimization.- Advances in Metaheuristic Optimization Algorithm.- Advances in Image Processing and Pattern Recognition Techniques.- AI in Biomedicine.- Bioinformatics.- Biometrics Recognition.- Information Security.- Virtual Reality and Human-Computer Interaction.- Healthcare Informatics Theory and Methods.- Intelligent Computing in Computer Vision.- Intelligent Agent and Web Applications.- Reinforcement Learning.- Machine Learning.- Modeling, Simulation, and Optimization of Biological Systems.- Biomedical Data Modeling and Mining.- Cheminformatics.- Intelligent Computing in Computational Biology.- Protein Structure and Function Prediction.- Biomarker Discovery.- Hybrid Computational Intelligence: Theory and Application in Bioinformatics, Computational Biology and Systems Biology.- IoT and Smart Data.- Intelligent Systems and Applications for Bioengineering.- Evolutionary Optimization: Foundations and Its Applications to Intelligent Data Analytics.- Protein and Gene Bioinformatics: Analysis, Algorithms and Applications.

Keywords

Supervised learning Unsupervised learning Reinforcement learning Semi-supervised learning Data mining and clustering Artificial intelligence Computer vision Dimensionality reduction and manifold learning Kernel methods Support vector machines Neural networks Deep learning Ensemble methods Feature selection Computational biology Molecular sequence analysis Biological networks Bioinformatics Systems biology neural networks

Editors and affiliations

  • De-Shuang Huang
    • 1
  • Kang-Hyun Jo
    • 2
  • Xiao-Long Zhang
    • 3
  1. 1.Tongji UniversityShanghaiChina
  2. 2.University of UlsanUlsanKorea (Republic of)
  3. 3.Wuhan University of Science and TechnologyWuhan CityChina

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-95933-7
  • Copyright Information Springer Nature Switzerland AG 2018
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-95932-0
  • Online ISBN 978-3-319-95933-7
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site