AI-Based Metaheuristics for Information Security and Digital Media
Series: Advances in Metaheuristics;
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22 769 Ft
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Estimated delivery time: In stock at the publisher, but not at Prospero's office. Delivery time approx. 3-5 weeks.
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Product details:
- Edition number 1
- Publisher Chapman and Hall
- Date of Publication 30 January 2025
- ISBN 9781032524559
- Binding Paperback
- No. of pages150 pages
- Size 234x156 mm
- Weight 280 g
- Language English
- Illustrations 39 Illustrations, black & white; 6 Halftones, black & white; 33 Line drawings, black & white; 9 Tables, black & white 667
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.
MoreLong 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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