Intelligent computing theories and methodologies [electronic resource] : 11th International Conference, ICIC 2015, Fuzhou, China, August 20-23, 2015, Proceedings. Part II / De-Shuang Huang, Kang-Hyun Jo, Abir Hussain (eds.).
International Conference on Intelligent Computing (11th : 2015 : Fuzhou, China); Huang, De-Shuang, editor.; Jo, Kang-Hyun, editor.; Hussain, Abir, editor.
2015
Q334
Available Online

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Title Intelligent computing theories and methodologies [electronic resource] : 11th International Conference, ICIC 2015, Fuzhou, China, August 20-23, 2015, Proceedings. Part II / De-Shuang Huang, Kang-Hyun Jo, Abir Hussain (eds.).
Meeting Name International Conference on Intelligent Computing (11th : 2015 : Fuzhou, China)
ISBN 9783319221861 electronic book
3319221868 electronic book
9783319221854
DOI https://doi.org/10.1007/978-3-319-22186-1
Published Cham : Springer, 2015.
Language English
Description 1 online resource (xxix, 755 pages) : illustrations.
Item Number 10.1007/978-3-319-22186-1 doi
Call Number Q334
Dewey Decimal Classification 006.3
Summary This two-volume set LNCS 9225 and LNCS 9226 constitutes - in conjunction with the volume LNAI 9227 - the refereed proceedings of the 11th International Conference on Intelligent Computing, ICIC 2015, held in Fuzhou, China, in August 2015. The 191 full papers and 42 short papers of this volume were carefully reviewed and selected from 191 submissions. The papers are organized in topical sections such as evolutionary computation and learning; compressed sensing, sparse coding and social computing; neural networks, nature inspired computing and optimization; pattern recognition and signal processing; image processing; biomedical informatics theory and methods; differential evolution, particle swarm optimization and niche technology; intelligent computing and knowledge discovery and data mining; soft computing and machine learning; computational biology, protein structure and function prediction; genetic algorithms; artificial bee colony algorithms; swarm intelligence and optimization; social computing; information security; virtual reality and human-computer interaction; healthcare informatics theory and methods; unsupervised learning; collective intelligence; intelligent computing in robotics; intelligent computing in communication networks; intelligent control and automation; intelligent data analysis and prediction; gene expression array analysis; gene regulation modeling and analysis; protein-protein interaction prediction; biology inspired computing and optimization; analysis and visualization of large biological data sets; motif detection; biomarker discovery; modeling; simulation; and optimization of biological systems; biomedical data modeling and mining; intelligent computing in biomedical signal/image analysis; intelligent computing in brain imaging; neuroinformatics; cheminformatics; intelligent computing in computational biology; computational genomics; special session on biomedical data integration and mining in the era of big data; special session on big data analytics; special session on artificial intelligence for ambient assisted living; and special session on swarm intelligence with discrete dynamics.
Note Includes author index.
Access Note Access limited to authorized users.
Source of Description Online resource; title from PDF title page (SpringerLink, viewed August 19, 2015).
Added Author Huang, De-Shuang, editor.
Jo, Kang-Hyun, editor.
Hussain, Abir, editor.
Series Lecture notes in computer science ; 9226.
LNCS sublibrary. SL 3, Information systems and applications, incl. Internet/Web, and HCI.
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Genetic algorithms
Artificial bee colony algorithms
Swarm intelligence and optimization
Social computing
Information security
Virtual reality and human-computer interaction
Healthcare informatics theory and methods
Unsupervised learning
Collective intelligence
Intelligent computing in robotics
Intelligent computing in communication networks
Intelligent control and automation
Intelligent data analysis and prediction
Gene expression array analysis
Gene regulation modeling and analysis
Protein-protein interaction prediction
Biology inspired computing and optimization
Analysis and visualization of large biological data sets
Motif detection
Biomarker discovery
Modeling, simulation, and optimization of biological systems
Biomedical data modeling and mining
Intelligent computing in biomedical signal/image analysis
Intelligent computing in brain imaging
Neuroinformatics
Cheminformatics
Intelligent computing in computational biology
Computational genomics
Biomedial data integration and mining in the era of big data
Big data analytics
Artificial intelligence for ambient assisted living.- Swarm intelligence with discrete dynamics.

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