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  • Innovative and Intelligent Computing for Global Sustainability

    Innovative and Intelligent Computing for Global Sustainability by Sathees Kumaran, S.; Sridevi, S.; Zhang, Yu-Dong;

    Series: Sustainable Economy and Ecotechnology;

      • GET 20% OFF

      • The discount is only available for 'Alert of Favourite Topics' newsletter recipients.
      • Publisher's listprice EUR 235.39
      • 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.

        97 628 Ft (92 979 Ft + 5% VAT)
      • Discount 20% (cc. 19 526 Ft off)
      • Discounted price 78 102 Ft (74 383 Ft + 5% VAT)

    97 628 Ft

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    Product details:

    • Publisher Springer Nature Switzerland
    • Date of Publication 29 January 2026
    • Number of Volumes 1 pieces, Book

    • ISBN 9783031973840
    • Binding Hardback
    • No. of pages360 pages
    • Size 235x155 mm
    • Language English
    • Illustrations VIII, 360 p. 212 illus., 208 illus. in color. Illustrations, black & white
    • 700

    Categories

    Long description:

    This book focuses on applying intelligent computing techniques for sustainable development in precision agriculture, digital healthcare, renewable energy, smart cities, and autonomous systems. These areas are highly relevant in the current context, particularly for achieving sustainable development goals such as zero hunger, good health and well-being, and industry innovation and infrastructure.

    It bridges the gap between artificial intelligence and sustainable solutions, providing readers with cutting-edge research and practical applications aimed at addressing environmental challenges. By highlighting real-world case studies, the book demonstrates how intelligent systems can drive transformation to meet global sustainability goals. Through its interdisciplinary approach, it encourages collaboration across sectors to create sustainable solutions.

    It will serve as an invaluable resource for academicians, scientists, researchers, and industry experts worldwide, delving into research and development in the agriculture, healthcare, automation, and energy sectors.

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    Table of Contents:

    1. Digital technologies for improving agricultural productivity.- 2. Analysis of Tomato Leaf Disease Using Deep Learning.- 3. An Improved Detection of Fetal Heart Disease Using Multilayer Perceptron.- 4. Alzheimer's Disease Detection Using Convolution Neural Networks.- 5. Intelligent Computing Techniques for Sustainable Cybersecurity.- 6. Cloud Based Attendance Management System Using Face Recognition.- 7. Architecture to Accurately Predict Housing Price for Smart Cities.

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