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Bøger af Ajith Abraham

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  • af Ajith Abraham & Nada Ahmed
    389,95 kr.

  • af Ajith Abraham, Kun Ma, Bo Yang & mfl.
    880,95 - 1.153,95 kr.

    This bookpresents some of the emerging techniques and technologies used to handle Webdata management. The Volume will be a valuable reference toresearchers, students and practitioners in the field of Web data management,cloud computing, social networks using advanced intelligence tools.

  • af Anand Jayant Kulkarni, Ajith Abraham & Ganesh Krishnasamy
    1.072,95 - 1.257,95 kr.

    The book demonstrates the ability of CI methodology for solving combinatorial problems such as Traveling Salesman Problem and Knapsack Problem in addition to real world applications from the healthcare, inventory, supply chain optimization and Cross-Border transportation.

  • - A Distributed Multi-agent System Approach for Optimization
    af Anand Jayant Kulkarni, Kang Tai & Ajith Abraham
    880,95 - 1.028,95 kr.

    This book provides an emerging computational intelligence tool in the framework of collective intelligence for modeling and controlling distributed multi-agent systems referred to as Probability Collectives.

  • - A Modern Approach
    af Ajith Abraham & Crina Grosan
    1.307,95 - 1.729,95 kr.

    This book introduces the computational intelligence tools used in practical problem solving. Beginning with search techniques, the authors review the design of knowledge-based and advanced expert systems, which incorporate uncertainty and fuzziness.

  • - Principles, Algorithms and Systems
    af Ajith Abraham, Anhong Wang, Jeng-Shyang Pan, mfl.
    1.006,95 - 1.061,95 kr.

    This book offers a broad overview of distributed video coding (DVC) and multiple description coding (MDC), novel techniques which address problems of conventional image and video compression coding. Coverage ranges from basic principles to the latest research.

  • af Ajith Abraham & Meera Ramadas
    1.125,95 kr.

    In this book, differential evolution and its modified variants are applied to the clustering of data and images. Metaheuristics have emerged as potential algorithms for dealing with complex optimization problems, which are otherwise difficult to solve using traditional methods.

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