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  • The 9th International Conference on Advanced Machine Learning Technologies and Applications (AMLTA’25), Volume 2

    The 9th International Conference on Advanced Machine Learning Technologies and Applications (AMLTA’25), Volume 2 by Hassanien, Aboul Ella; El-Sayed, Eman Karam; Darwish, Ashraf; Snasel, Vaclav;

    Series: Lecture Notes on Data Engineering and Communications Technologies;

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      • 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 16 October 2025

    • ISBN 9783032073259
    • Binding Paperback
    • No. of pages240 pages
    • Size 235x155 mm
    • Language English
    • Illustrations XXI, 240 p. 134 illus., 97 illus. in color.
    • 696

    Categories

    Long description:

    This volume explores the forefront of AI innovation in building secure, sustainable, and intelligent systems. From adaptive blockchain solutions for IoT and advances in photonic quantum computing to DNS-based cyber defense and disaster-resilient sensor networks, the research presented addresses critical challenges in digital infrastructure. Additional highlights include AI-driven environmental forecasting, assistive technologies for dyslexia, and machine learning applications in law enforcement—demonstrating AI’s expanding role in safeguarding infrastructure, optimizing resources, and advancing societal resilience.

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    Table of Contents:

    YOLO-ViT: A Hybrid Deep Learning Model for Eye Disease Classification .- Machine Learning-Driven Adaptive Blockchain Security for IoT Devices.- Design of a Command Control Server Searching System Centered around DNS Analyses.- Enhancing OTP-Vote: Strengthening End-to-End Verifiability and Auditability with Machine Learning Techniques.

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