Intelligent Computing Theories and Application

1. Front Matter

   Pages i-xxi

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2. Particle Swarm Optimization-Based Power Allocation Scheme for Secrecy Sum Rate Maximization in NOMA with Cooperative Relaying

   • Carla E. Garcia, Mario R. Camana, Insoo Koo, Md Arifur Rahman

   Pages 1-12

3. A Novel Binary Particle Swarm Optimization for Multiple Sequence Alignment

   • Yanlian Du, Jingxuan He, Changcun Du

   Pages 13-25

4. A Diversity Based Competitive Multi-objective PSO for Feature Selection

   • Jianfeng Qiu, Fan Cheng, Lei Zhang, Yi Xu

   Pages 26-37

5. A Decomposition-Based Hybrid Estimation of Distribution Algorithm for Practical Mean-CVaR Portfolio Optimization

   • Yihua Wang, Wanyi Chen

   Pages 38-50

6. CBLNER: A Multi-models Biomedical Named Entity Recognition System Based on Machine Learning

   • Gong Lejun, Liu Xiaolin, Yang Xuemin, Zhang Lipeng, Jia Yao, Yang Ronggen

   Pages 51-60

7. Dice Loss in Siamese Network for Visual Object Tracking

   • Zhao Wei, Changhao Zhang, Kaiming Gu, Fei Wang

   Pages 61-70

8. Fuzzy PID Controller for Accurate Power Sharing in DC Microgrid

   • Duy-Long Nguyen, Hong-Hee Lee

   Pages 71-80

9. Precipitation Modeling and Prediction Based on Fuzzy-Control Multi-cellular Gene Expression Programming and Wavelet Transform

   • YuZhong Peng, ChuYan Deng, HongYa Li, DaoQing Gong, Xiao Qin, Li Cai

   Pages 81-92

10. Integrative Enrichment Analysis of Intra- and Inter- Tissues’ Differentially Expressed Genes Based on Perceptron

    • Xue Jiang, Weihao Pan, Miao Chen, Weidi Wang, Weichen Song, Guan Ning Lin

    Pages 93-104

11. Identifying Differentially Expressed Genes Based on Differentially Expressed Edges

    • Bolin Chen, Li Gao, Xuequn Shang

    Pages 105-115

12. Gene Functional Module Discovery via Integrating Gene Expression and PPI Network Data

    • Fangfang Zhu, Juan Liu, Wenwen Min

    Pages 116-126

13. A Novel Framework for Improving the Prediction of Disease-Associated MicroRNAs

    • Wenhe Zhao, Jiawei Luo, Nguyen Hoang Tu

    Pages 127-137

14. Precise Prediction of Pathogenic Microorganisms Using 16S rRNA Gene Sequences

    • Yu-An Huang, Zhi-An Huang, Zhu-Hong You, Pengwei Hu, Li-Ping Li, Zheng-Wei Li et al.

    Pages 138-150

15. Learning from Deep Representations of Multiple Networks for Predicting Drug–Target Interactions

    • Pengwei Hu, Yu-an Huang, Zhuhong You, Shaochun Li, Keith C. C. Chan, Henry Leung et al.

    Pages 151-161

16. Simulation of Complex Neural Firing Patterns Based on Improved Deterministic Chay Model

    • Zhongting Jiang, Dong Wang, Huijie Shang, Yuehui Chen

    Pages 162-169

17. Knowledge Based Helix Angle and Residue Distance Restraint Free Energy Terms of GPCRs

    • Huajing Ling, Hongjie Wu, Jiayan Han, Jiwen Ding, Weizhong Lu, Qiming Fu

    Pages 170-176

18. Improved Spectral Clustering Method for Identifying Cell Types from Single-Cell Data

    • Yuanyuan Li, Ping Luo, Yi Lu, Fang-Xiang Wu

    Pages 177-189

19. A Novel Weight Learning Approach Based on Density for Accurate Prediction of Atherosclerosis

    • Jiang Xie, Ruiying Wu, Haitao Wang, Yanyan Kong, Haozhe Li, Wu Zhang

    Pages 190-200

20. An Effective Approach of Measuring Disease Similarities Based on the DNN Regression Model

    • Shuhui Su, Xiaoxiao(X.X.) Zhang, Lei Zhang, Jian Liu

    Pages 201-212

This two-volume set of LNCS 11643 and LNCS 11644 constitutes - in conjunction with the volume LNAI 11645 - the refereed proceedings of the 15th International Conference on Intelligent Computing, ICIC 2019, held in Nanchang, China, in August 2019. The 217 full papers of the three proceedings volumes were carefully reviewed and selected from 609 submissions.

The ICIC theme unifies the picture of contemporary intelligent computing techniques as an integral concept that highlights the trends in advanced computational intelligence and bridges theoretical research with applications. The theme for this conference is “Advanced Intelligent Computing Methodologies and Applications.” Papers related to this theme are especially solicited, including theories, methodologies, and applications in science and technology.

• artificial intelligence
• bioinformatics
• classification
• clustering
• computer networks
• computer vision
• cross-validation
• decision trees
• evolutionary algorithms
• genetic algorithms
• image processing
• learning algorithms
• machine learning
• neural networks
• semantics
• signal processing
• support vector machines
• svm

• Tongji University, Shanghai, China

  De-Shuang Huang

• University of Ulsan, Ulsan, Korea (Republic of)

  Kang-Hyun Jo

• Nanchang Institute of Technology, Nanchang, China

  Zhi-Kai Huang

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