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Intelligent Computing Theories and Application

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

  • De-Shuang Huang
  • Vitoantonio Bevilacqua
  • Prashan Premaratne
  • Phalguni Gupta
Conference proceedings ICIC 2018

Part of the Lecture Notes in Computer Science book series (LNCS, volume 10954)

Also part of the Information Systems and Applications, incl. Internet/Web, and HCI book sub series (LNISA, volume 10954)

Table of contents

  1. Front Matter
    Pages I-XXII
  2. Mingyue Zhu, Tao Gao, Bingjie Zhang, Qingying Sun, Jian Wang
    Pages 1-7
  3. Aye Su Phyo, Hisato Fukuda, Antony Lam, Yoshinori Kobayashi, Yoshinori Kuno
    Pages 8-14
  4. Fan Guo, Gonghao Lan, Xiaoming Xiao, Beiji Zou
    Pages 25-37
  5. Zi-ping Ma, Jin-lin Ma
    Pages 38-45
  6. Brendan Halloran, Prashan Premaratne, Peter James Vial
    Pages 46-59
  7. Wei Jiang, Jian Xu, Xiao-Feng Kang, Liang-liang Wang
    Pages 60-71
  8. Khoa Dang Nguyen, Cheolkeun Ha, Jong Tai Jang
    Pages 84-93
  9. Li Huang, Hui Huang
    Pages 94-101
  10. Xinjia Chen, Yanxia Liu, Xiaobin Hong, Xinyong Wei, Yesheng Huang
    Pages 102-110
  11. Yunhan Lin, Huasong Min, Haotian Zhou, Mingyu Chen
    Pages 111-122
  12. Yandong Luo, Jianwen Guo, Zhibin Zeng, Chengzhi Chen, Xiaoyan Li, Jiapeng Wu
    Pages 136-146
  13. Ling Wang, ZhiYuan Chen, Tiehua Zhou, Wenge Dong, Gongliang Hu
    Pages 147-159
  14. Haijian Wang, Zhaohui Zhang, Pengwei Wang
    Pages 160-171
  15. Bo Li, Kele Xu, Xiaoyan Cui, Yiheng Wang, Xinbo Ai, Yanbo Wang
    Pages 172-182
  16. Li Deng, Yu-Lin Ren, Fei Xu, Heng He, Chao Li
    Pages 183-194
  17. Hongya Li, Yuzhong Peng, Chuyan Deng, Yonghua Pan, Daoqing Gong, Hao Zhang
    Pages 207-218
  18. Yajie Ma, Jin Jin, Qihui Huang, Feng Dan
    Pages 219-230
  19. Xianghong Lin, Qian Li, Dan Li
    Pages 243-253
  20. Luiz Henrique Nogueira Lorena, Marcos Gonçalves Quiles, André Carlos Ponce de Leon Ferreira de Carvalho, Luiz Antonio Nogueira Lorena
    Pages 287-297
  21. Fangqi Li, Xudie Ren
    Pages 322-333
  22. Fei Jiao, Tianwen Huang, Yichang Zhou
    Pages 372-377
  23. Yuanxiu Liao, Jingli Wu, Xudong Luo
    Pages 389-399
  24. Fernanda Castro, Patricia Tedesco, Havana Alves, Jonysberg P. Quintino, Juliana Steffen, Frederico Oliveira et al.
    Pages 400-412
  25. Changqing Zhang, Gang Min, Huan Ma, Xian Li
    Pages 413-424
  26. Weidong Tian, Jianqiang Mei, Hongjuan Zhou, Zhongqiu Zhao
    Pages 425-433
  27. Yan Zhou, Heming Zhao, Li Shang
    Pages 434-443
  28. Yun Su, Bin Hu, Yongqiang Dai, Juan Rao
    Pages 444-453
  29. Fengli Zhou, Xiaoli Lin
    Pages 454-466
  30. Zengzhen Shao, Yancong Li, Xiao Wang, Xuechen Zhao, Yanhui Guo
    Pages 479-490
  31. Wei-wei Gao, Jun Zhang, Peng Chen, Bing Wang, Yi Xia
    Pages 503-512
  32. Huijuan Lu, Yige Xu, Minchao Ye, Ke Yan, Qun Jin, Zhigang Gao
    Pages 513-519
  33. Zhifa Han, Tao Wang, Rui Tian, Wenyang Zhou, Pingping Wang, Peng Ren et al.
    Pages 520-526

Other volumes

  1. Intelligent Computing Theories and Application
    14th International Conference, ICIC 2018, Wuhan, China, August 15-18, 2018, Proceedings, Part I
  2. 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 Biological networks Systems biology Bioinformatics artificial intelligence problem solving

Editors and affiliations

  • De-Shuang Huang
    • 1
  • Vitoantonio Bevilacqua
    • 2
  • Prashan Premaratne
    • 3
  • Phalguni Gupta
    • 4
  1. 1.Tongji UniversityShanghaiChina
  2. 2.Polytechnic of BariBariItaly
  3. 3.University of WollongongNorth WollongongAustralia
  4. 4.Indian Institute of Technology KanpurKanpurIndia

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-95930-6
  • Copyright Information Springer Nature Switzerland AG 2018
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-95929-0
  • Online ISBN 978-3-319-95930-6
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site
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