Exploring generative adversarial networks and meta-learning synergies /

Bibliographic Details
Corporate Author:	IGI Global Online
Other Authors:	Kumar, Sandeep (Editor), Sharma, Yogesh Kumar (Editor), Lilhore, Umesh Kumar (Editor), Simaiya, Sarita (Editor)
Format:	eBook
Language:	English
Published:	Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) : IGI Global Scientific Publishing, 2025.
Subjects:	Neural networks (Computer science) Artificial intelligence. Réseaux neuronaux (Informatique) Intelligence artificielle. artificial intelligence. Artificial Intelligence (AI) Deep-Fake Detection. Ecosystems. Entrepreneurship. Eye-Tracking Control Systems. Generative Adversarial Networks (GANs) Image Classification Tasks. Image Generation. Lip-Reading Systems. Medical Diagnostics. Meta-Learning. Metaheuristic Approaches. Neuromorphic Computing. Optimization Problems. Robotic Systems. Style Transfer. Transfer Learning. Viseme-Phoneme Mapping. Vision Transformer. Visual Speech Recognition. Electronic books.
Online Access:	Connect to the full text of this electronic book

Table of Contents:

Preface
Chapter 1. A Review of GAN-Synthesized Brain MR Image Applications
Chapter 2. Advancing Deep Fake Detection Using a Comprehensive Analysis With Hyper-Tuned ResNet-50
Chapter 3. Adversarial Data Augmentation With Vision Transformer for Image Classification Tasks
Chapter 4. Applying Metaheuristic Approaches in Artificial Intelligence to Tackle Complex Optimization Problems
Chapter 5. Applications of GANs in Image Generation and Style Transfer
Chapter 6. Exploring Synergies and Innovations in GANs and Meta-Learning
Chapter 7. GANS and Meta-Learning: Identifying Key Challenges and Uncovering Limitations in AI Research
Chapter 8. The Role of Generative Models in Modern Healthcare: Applications, Challenges, and Implications
Chapter 9. Transfer Learning With GANs and Meta-Learning
Chapter 10. Visual Speech Recognition With Viseme-Phoneme Mapping Improving Lip-Reading Systems Using GAN
Chapter 11. Improved Autonomy and Adaptability Using GANs and Meta-Learning for Robotic Systems
Chapter 12. Harnessing the Power of GANs and Meta-Learning for Few-Shot Image Generation
Chapter 13. Exploring Generative Adversarial Networks and Meta-Learning: Concepts and Applications
Chapter 14. Eye-Tracking Control System for Intuitive Hands-Free Human-Computer Interaction and Mouse Navigation
Chapter 15. Future Directions and Emerging Trends in GANs and Meta-Learning Impact on Medical Diagnostics
Compilation of References
About the Contributors
Index.