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    AI-Based Metaheuristics for Information Security and Digital Media

    AI-Based Metaheuristics for Information Security and Digital Media by Shastri, Apoorva S; Singh, Mangal; Kulkarni, Anand J.;

    Series: Advances in Metaheuristics;

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      • Publisher's listprice GBP 84.99
      • 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.

        43 013 Ft (40 965 Ft + 5% VAT)
      • Discount 20% (cc. 8 603 Ft off)
      • Discounted price 34 411 Ft (32 772 Ft + 5% VAT)

    43 013 Ft

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    Availability

    Estimated delivery time: In stock at the publisher, but not at Prospero's office. Delivery time approx. 3-5 weeks.
    Not in stock at Prospero.

    Why don't you give exact delivery time?

    Delivery time is estimated on our previous experiences. We give estimations only, because we order from outside Hungary, and the delivery time mainly depends on how quickly the publisher supplies the book. Faster or slower deliveries both happen, but we do our best to supply as quickly as possible.

    Product details:

    • Edition number 1
    • Publisher Chapman and Hall
    • Date of Publication 6 July 2023

    • ISBN 9780367615420
    • Binding Hardback
    • No. of pages150 pages
    • Size 234x156 mm
    • Weight 440 g
    • Language English
    • Illustrations 39 Illustrations, black & white; 6 Halftones, black & white; 33 Line drawings, black & white; 9 Tables, black & white
    • 518

    Categories

    Short description:

    This book examines the latest developments in AI-based metaheuristics algorithms with applications in information security for digital media. It highlights the importance of several security parameters, their analysis, and validations for different practical applications.

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    Long description:

    This book examines the latest developments in Artificial Intelligence (AI)-based metaheuristics algorithms with applications in information security for digital media. It highlights the importance of several security parameters, their analysis, and validations for different practical applications. Drawing on multidisciplinary research including computer vision, machine learning, artificial intelligence, and modified/newly developed metaheuristics algorithms, it will enhance information security for society. It includes state-of-the-art research with illustrations and exercises throughout.


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    Table of Contents:

    Preface. About the Editors. Contributors. 1 Use of artificial intelligence and blockchain technologies in detecting and curbing fake news in journalism. 2 Blockchain technology-based fake news detection: Applications and future research directions. 3 Deep learning-based intelligent systems for audio abuse prediction: A survey. 4 A comprehensive review of toxicity analysis using deep learning techniques. 5 Literature review on zero-knowledge proof and its applications. 6 Machine learning-based algorithmic comparison for fake news identification. 7 A comprehensive review of classical and deep learning-based time series models. 8 Use of technologies in media and communication: Interventions of artificial intelligence in mitigating fake news on social media. 9 Robust color image watermarking using IWT and ensemble model with PCA-based statistical feature reduction. Index.

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    AI-Based Metaheuristics for Information Security and Digital Media

    AI-Based Metaheuristics for Information Security and Digital Media

    Shastri, Apoorva S; Singh, Mangal; Kulkarni, Anand J.;(ed.)

    43 013 HUF

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