Description
| Product ID: | 9780367615420 |
| Product Form: | Hardback |
| Country of Manufacture: | GB |
| Series: | Advances in Metaheuristics |
| Title: | AI-Based Metaheuristics for Information Security and Digital Media |
| Authors: | Author: Anand J. Kulkarni, Patrick Siarry, Mangal Singh, Apoorva S Shastri |
| Page Count: | 136 |
| Subjects: | Probability and statistics, Probability & statistics, Computer security, Mathematical theory of computation, Artificial intelligence, Computer security, Mathematical theory of computation, Artificial intelligence |
| Description: | Select Guide Rating 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. 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. |
| Imprint Name: | Chapman & Hall/CRC |
| Publisher Name: | Taylor & Francis Ltd |
| Country of Publication: | GB |
| Publishing Date: | 2023-07-06 |
