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  • Data Intensive Computing for Biodiversity (Studies in Computational Intelligence #485)

    Data Intensive Computing for Biodiversity (Studies in Computational Intelligence #485)

    by Sarinder K. Dhillon • Amandeep S. Sidhu

    This book is focused on the development of a data integration framework for retrieval of biodiversity information from heterogeneous and distributed data sources. The data integration system proposed in this book links remote databases in a networked environment, supports heterogeneous databases and... More

    Language: ENG
    Copyright: 2012
  • Real-time Knowledge-based Fuzzy Logic Model for Soft Tissue Deformation (Studies in Computational Intelligence #832)

    Real-time Knowledge-based Fuzzy Logic Model for Soft Tissue Deformation (Studies in Computational Intelligence #832)

    by Amandeep S. Sidhu • Joey Sing Tan

    This book provides a real-time and knowledge-based fuzzy logic model for soft tissue deformation. The demand for surgical simulation continues to grow, as there is a major bottleneck in surgical simulation designation and every patient is unique. Deformable models, the core of surgical simulation, p... More

    Language: ENG
    Copyright: 2019
  • Optimized Cloud Based Scheduling (Studies In Computational Intelligence #759)

    Optimized Cloud Based Scheduling (Studies In Computational Intelligence #759)

    by Amandeep S. Sidhu • John A. Leong • Rong Kun Tan

    This book presents an improved design for service provisioning and allocation models that are validated through running genome sequence assembly tasks in a hybrid cloud environment. It proposes approaches for addressing scheduling and performance issues in big data analytics and showcases new algori... More

    Language: ENG
    Copyright: 2018
  • Large Scale Data Analytics (Studies in Computational Intelligence #806)

    Large Scale Data Analytics (Studies in Computational Intelligence #806)

    by Amandeep S. Sidhu • John A. Leong • Rong Kun Tan • Chung Yik Cho

    This book presents a language integrated query framework for big data. The continuous, rapid growth of data information to volumes of up to terabytes (1,024 gigabytes) or petabytes (1,048,576 gigabytes) means that the need for a system to manage and query information from large scale data sources is... More

    Language: ENG
    Copyright: 2019
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