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.
