Hybrid Intelligent Systems

Ajith Abraham (Hrsg.), Pranab Kr. Muhuri (Hrsg.), Niketa Gandhi (Hrsg.), Azah Kamilah Muda (Hrsg.)

Springer International Publishing 

Naturwissenschaften, Medizin, Informatik, Technik / Allgemeines, Lexika

Beschreibung

This book includes recent research on Hybrid Intelligent Systems. It presents 35 selected papers from the 17th edition of the International Conference on Hybrid Intelligent Systems (HIS), which was held in Delhi, India from December 14 to 16, 2017. Reflecting the awareness in the respective academic communities that combined approaches are essential to solving the remaining tough problems in computational intelligence, the HIS is a premier conference focused on the hybridization of intelligent systems. The book offers a valuable reference guide for all researchers, students and practitioners in the fields of Computer Science and Engineering.

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Optimization Models in Steganography Using Metaheuristics

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Metaheuristics for Data Clustering and Image Segmentation

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Cohort Intelligence: A Socio-inspired Optimization Method

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Intelligent Web Data Management: Software Architectures and Emerging Technologies

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Probability Collectives

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Distributed Multiple Description Coding

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Intelligent Systems

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Tree-Structure based Hybrid Computational Intelligence

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Metaheuristic Clustering

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