AI-Based Metaheuristics for Information Security and Digital Media (Advances in Metaheuristics)

Shastri, Apoorva S (Editor) / Singh, Mangal (Editor) / Kulkarni, Anand J. (Editor) / Siarry, Patrick (Editor)

ISBN 10: 0367615428 / ISBN 13: 9780367615420

Edité par Chapman and Hall/CRC, 2023

A propos de cet article

168 pages. 9.19x6.13x0.53 inches. In Stock.

N° de réf. du vendeur __0367615428

Détails bibliographiques

• Titre: AI-Based Metaheuristics for Information Security and Digital Media (Advances in Metaheuristics)
• Éditeur: Chapman and Hall/CRC
• Date de parution: 2023
• Langue: anglais
• ISBN à 10 chiffres: 0367615428
• ISBN à 13 chiffres: 9780367615420
• Reliure: Hardcover
• État de l'article: Brand New

A propos de ce titre

Synopsis

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.

À propos de l?auteur

Dr Apoorva S Shastri is a Research Assistant Professor at Artificial Intelligence at the MITWPU, Pune, India. Her research interests include optimization algorithms, VLSI design, multi-objective optimization, continuous, discrete and combinatorial optimization, complex systems, manufacturing and self-organizing systems. She has developed socio-inspired optimization methodologies such as Multi-Cohort Intelligence Algorithm and Expectation Algorithm.

Dr Mangal Singh is an Associate Professor at Symbiosis Institute of Technology, Symbiosis International (Deemed University). His main research interests are the development and application of optimization heuristics algorithms and their applications to various engineering fields. He is also working on signal processing for 6G and beyond wireless communication.

Dr Anand J Kulkarni is working as Professor and Associate Director of the Institute of Artificial Intelligence at the MITWPU, Pune, India. His research interests include optimization algorithms, multi-objective optimization, continuous, discrete and combinatorial optimization, swarm optimization and self-organizing systems.

Dr Patrick Siarry is a Professor in automatics and informatics. His main research interests are the development of new stochastic global optimization heuristics and their applications to various engineering fields. He is also interested in the fitting of process models to experimental data, the learning of fuzzy rule bases and of neural networks.