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Intelligent Computing Theories and Methodologies

Name: Intelligent Computing Theories and Methodologies
Brand: Springer International Publishing AG
SKU: 9783319221854
Price: 19063 HUF
Availability: InStock

11th International Conference, ICIC 2015, Fuzhou, China, August 20-23, 2015, Proceedings, Part II

Szerző: De-Shuang Huang, Kang-Hyun Jo, Abir Hussain

Nyelv:

Kötés: Puha kötésű

Kiadó: Springer International Publishing AG

Elérhetőség: Beszállítói készleten

Küldés 5-8 napon belül

19 063 Ft

This two-volume set LNCS 9225 and LNCS 9226 constitutes - in conjunction with the volume LNAI 9227 -...

Információk a könyvről

Szerző

De-Shuang Huang, Kang-Hyun Jo, Abir Hussain

Nyelv

Angol

Kötés

Könyv - Puha kötésű

Kiadva

2015

oldal

755

EAN

9783319221854

ISBN

331922185X

Enbook ID

09383988

Kiadó

Springer International Publishing AG

Súly

1171

Méretek

155 x 235 x 44

Teljes leírás

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.