Intelligent Computing Methodologies

1. Front Matter

   Pages I-XIX

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2. Optimization, Neural Network and Signal Processing

   1. Front Matter

      Pages 1-1

      PDF

   2. A Method of Reducing Output Waveform Distortion in Photovoltaic Converter System

      • Huixiang Xu, Nianqiang Li

      Pages 3-10

   3. Secure and Pairing-Free Identity-Based Batch Verification Scheme in Vehicle Ad-Hoc Networks

      • Xiaoming Hu, Jian Wang, Huajie Xu, Yan Liu, Xiaojun Zhang

      Pages 11-20

   4. An Improved Ant Colony Optimization Algorithm for the Detection of SNP-SNP Interactions

      • Yingxia Sun, Junliang Shang, JinXing Liu, Shengjun Li

      Pages 21-32

   5. Monaural Singing Voice Separation by Non-negative Matrix Partial Co-Factorization with Temporal Continuity and Sparsity Criteria

      • Ying Hu, Liejun Wang, Hao Huang, Gang Zhou

      Pages 33-43

   6. An Improved Supervised Learning Algorithm Using Triplet-Based Spike-Timing-Dependent Plasticity

      • Xianghong Lin, Guojun Chen, Xiangwen Wang, Huifang Ma

      Pages 44-53

   7. Risk and Vulnerability Analysis of Critical Infrastructure

      • Kaiyu Wan, Vangalur Alagar

      Pages 54-66

   8. Improved Binary Imperialist Competition Algorithm for Feature Selection from Gene Expression Data

      • Aorigele, Shuaiqun Wang, Zheng Tang, Shangce Gao, Yuki Todo

      Pages 67-78

   9. A Novel Multi-objective Bionic Algorithm Based on Plant Root System Growth Mechanism

      • Lianbo Ma, Xu Li, Jia Liu, Yang Gao

      Pages 79-87

   10. Group Discussion Mechanism Based Particle Swarm Optimization

       • L. J. Tan, J. Liu, W. J. Yi

       Pages 88-95

3. Biomedical Informatics and Image Processing

   1. Front Matter

      Pages 97-97

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   2. Srrr-cluster: Using Sparse Reduced-Rank Regression to Optimize iCluster

      • Shu-Guang Ge, Jun-Feng Xia, Pi-Jing Wei, Chun-Hou Zheng

      Pages 99-106

   3. An Interactive Segmentation Algorithm for Thyroid Nodules in Ultrasound Images

      • Waleed M. H. Alrubaidi, Bo Peng, Yan Yang, Qin Chen

      Pages 107-115

   4. Coordinating Discernibility and Independence Scores of Variables in a 2D Space for Efficient and Accurate Feature Selection

      • Juanying Xie, Mingzhao Wang, Ying Zhou, Jinyan Li

      Pages 116-127

   5. Palm Image Classification Using Multiple Kernel Sparse Representation Based Dictionary Learning

      • Pin-gang Su, Tao Liu

      Pages 128-138

   6. One Novel Rate Control Scheme for Region of Interest Coding

      • Chen Xi, Wu Zongze, Zhang Xie, Xiang Youjun, Xie Shengli

      Pages 139-148

   7. Heart Rate Variability Estimation in Electrocardiogram Signals Interferences Based on Photoplethysmography Signals

      • Aihua Zhang, Qian Wang, Yongxin Chou

      Pages 149-159

   8. Predicting Progression of ALS Disease with Random Frog and Support Vector Regression Method

      • Shu-Lin Wang, Jin Li, Jianwen Fang

      Pages 160-170

   9. Chinese Historic Image Threshold Using Adaptive K-means Cluster and Bradley’s

      • Zhi-Kai Huang, Yong-Li Ma, Li Lu, Fan-Xing Rao, Ling-Ying Hou

      Pages 171-179

This book - in conjunction with the double volume set LNCS 9771 and LNCS 9772 - constitutes the refereed proceedings of the 12th International Conference on Intelligent Computing, ICIC 2016, held in Lanzhou, China, in August 2016.

The 221 full papers and 15 short papers of the three proceedings volumes were carefully reviewed and selected from 639 submissions. The papers are organized in topical sections such as signal processing and image processing; information security, knowledge discovery, and data mining; systems biology and intelligent computing in computational biology; intelligent computing in scheduling; information security; advances in swarm intelligence: algorithms and applications; machine learning and data analysis for medical and engineering applications; evolutionary computation and learning; independent component analysis; compressed sensing, sparse coding; social computing; neural networks; nature inspired computing and optimization; genetic algorithms; signal processing; pattern recognition; biometrics recognition; image processing; information security; virtual reality and human-computer interaction; healthcare informatics theory and methods; artificial bee colony algorithms; differential evolution; memetic algorithms; swarm intelligence and optimization; soft computing; protein structure and function prediction; advances in swarm intelligence: algorithms and applications; optimization, neural network, and signal processing; biomedical informatics and image processing; machine learning; knowledge discovery and natural language processing; nature inspired computing and optimization; intelligent control and automation; intelligent data analysis and prediction; computer vision; knowledge representation and expert system; bioinformatics.

• artificial intelligence
• bioinformatics
• data mining and clustering
• kernel methods
• biological networks
• computational biology
• computational genomics
• computer vision
• deep learning
• dimensionality reduction and manifold learning
• ensemble methods
• feature selection
• molecular sequence analysis
• motif discovery
• reinforcement learning
• semi-supervised learning
• supervised learning
• support vector machines
• unsupervised learning
• algorithm analysis and problem complexity

• Tongji University , Shanghai, China

  De-Shuang Huang

• Inha University , Incheon, Korea (Republic of)

  Kyungsook Han

• Liverpool John Moores University , Liverpool, United Kingdom

  Abir Hussain

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