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Intelligent Computing Methodologies, 1st ed. 2018 14th International Conference, ICIC 2018, Wuhan, China, August 15-18, 2018, Proceedings, Part III Lecture Notes in Artificial Intelligence Series

Langue : Anglais

Coordonnateurs : Huang De-Shuang, Gromiha M. Michael, Han Kyungsook, Hussain Abir

Couverture de l’ouvrage Intelligent Computing Methodologies

This book constitutes - in conjunction with the two-volume set LNCS 10954 and LNCS 10955 - 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 Evolutionary Computation and Learning; Neural Networks; Pattern Recognition; Image Processing; Information Security; Virtual Reality and Human-Computer Interaction; Business Intelligence and Multimedia Technology; Biomedical Informatics Theory and Methods; Swarm Intelligence and Optimization; Natural Computing; Quantum Computing; Intelligent Computing in Computer Vision; Fuzzy Theory and Algorithms; Machine Learning; Systems Biology; Intelligent Systems and Applications for Bioengineering; Evolutionary Optimization: Foundations and Its Applications to Intelligent Data Analytics; Swarm Evolutionary Algorithms for Scheduling and Combinatorial Optimization; Swarm Intelligence and Applications in Combinatorial Qoptimization; Advances in Metaheuristic Optimization Algorithm; Advances in Image Processing and Pattern Techniques; Bioinformatics.

Evolutionary Computation and Learning.- Neural Networks.- Pattern Recognition.- Image Processing.- Information Security.- Virtual Reality and Human-Computer Interaction.- Business Intelligence and Multimedia Technology.- Biomedical Informatics Theory and Methods.- Swarm Intelligence and Optimization.- Natural Computing.- Quantum Computing.- Intelligent Computing in Computer Vision.- Fuzzy Theory and Algorithms.- Machine Learning.- Systems Biology.- Intelligent Systems and Applications for Bioengineering.- Evolutionary Optimization: Foundations and Its Applications to Intelligent Data Analytics.- Swarm Evolutionary Algorithms for Scheduling and Combinatorial Optimization.- Swarm Intelligence and Applications in Combinatorial Qoptimization.- Advances in Metaheuristic Optimization Algorithm.- Advances in Image Processing and Pattern Techniques.- Bioinformatics.