Intelligent Computing Theories and Methodologies 11th International Conference, ICIC 2015, Fuzhou, China, August 20-23, 2015, Proceedings, Part II /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Huang, De-Shuang (Επιμελητής έκδοσης), Jo, Kang-Hyun (Επιμελητής έκδοσης), Hussain, Abir (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2015.
• Έκδοση: 1st ed. 2015.
• Σειρά: Lecture Notes in Computer Science, 9226
• Θέματα: Computer science.; Computers.; Artificial intelligence.; Image processing.; Pattern recognition.; Bioinformatics.; Computer Science.; Artificial Intelligence (incl. Robotics).; Image Processing and Computer Vision.; Pattern Recognition.; Computational Biology/Bioinformatics.; Information Systems Applications (incl. Internet).; Computation by Abstract Devices.

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 c...

Πίνακας περιεχομένων:

• 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.