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  • Intelligent Technologies: Concepts, Applications, and Future Directions, Volume 3

    Intelligent Technologies by Das, Himansu; Acharya, Arup Abhinna; Li, Kuan-Ching;

    Concepts, Applications, and Future Directions, Volume 3

    Series: Studies in Computational Intelligence; 1167;

      • GET 20% OFF

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      • Publisher's listprice EUR 213.99
      • The price is estimated because at the time of ordering we do not know what conversion rates will apply to HUF / product currency when the book arrives. In case HUF is weaker, the price increases slightly, in case HUF is stronger, the price goes lower slightly.

        88 752 Ft (84 526 Ft + 5% VAT)
      • Discount 20% (cc. 17 750 Ft off)
      • Discounted price 71 002 Ft (67 621 Ft + 5% VAT)

    88 752 Ft

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    Product details:

    • Edition number 2024
    • Publisher Springer Nature Singapore
    • Date of Publication 3 September 2024
    • Number of Volumes 1 pieces, Book

    • ISBN 9789819752034
    • Binding Hardback
    • No. of pages204 pages
    • Size 235x155 mm
    • Language English
    • Illustrations X, 204 p. 88 illus., 62 illus. in color. Illustrations, black & white
    • 592

    Categories

    Long description:

    This book discusses automated computing systems which are mostly powered by intelligent technologies like artificial intelligence, machine learning, image recognition, speech processing, cloud computing, etc., to perform complex automated tasks which are not possible by traditional computing systems. The chapters are extended version of research works presented at third PhD Research Symposium in various advanced technologies used in the field of computer science. This book provides an opportunity for the researchers to get ideas regarding the ongoing works that help them in formulating problems of their interest. The academicians can also be benefited to know about the current research trends that smooth the way to guide their students to carry out research work in the proper direction. The industry people will be also facilitated to know about the current advances in research work and materialize the research work into industrial applications.

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    Table of Contents:

    Enhancing Healthcare with Optimized Computational Models for Disease Diagnosis Using Gene Expression Dataset.- A Unified Deep Learning Framework for Sentiment Analysis of Reviews.- An Efficient Infectious Disease Detection in Plants Using Deep Learning.- Analysis of Cardiovascular Diseases prediction using various Machine Learning and Deep Learning algorithms.- Identifying Humans through Gait Features.

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