Generative Artificial Intelligence (AI) Approaches for Industrial Applications

Bibliografski detalji
Autor kompanije: SpringerLink (Online service)
Daljnji autori: Vajjhala, Narasimha Rao (Urednik), Roy, Sanjiban Sekhar (Urednik), Taşcı, Burak (Urednik), Hoque Chowdhury, Muhammad Enamul (Urednik)
Sažetak:XVIII, 342 p. 60 illus., 39 illus. in color.
text
Jezik:engleski
Izdano: Cham : Springer Nature Switzerland : Imprint: Springer, 2025.
Izdanje:1st ed. 2025.
Serija:Information Systems Engineering and Management, 24
Teme:
Online pristup:https://doi.org/10.1007/978-3-031-76710-4
Format: Elektronički Knjiga
Sadržaj:
  • Foundations and Emerging Trends in Generative Artificial Intelligence (AI) for Industrial Applications
  • Mathematical Foundations and Applications of Generative AI Models
  • Mathematical Frameworks for Generative AI Applications
  • Generative Adversarial Networks: A Comprehensive Review
  • Generative Adversarial Networks: Security, Privacy, and Ethical Considerations
  • Mitigating Hallucinations in LLMs using Sieve of Fallacies and Truths (SoFT): A Game Theoretic Perspective
  • Implementing Generative AI in Identity Access Management
  • Integrating Generative AI in Education: Themes, Challenges, and Future Directions
  • The Impact of Generative AI on Healthcare
  • Revolutionizing Healthcare with Generative Artificial Intelligence Technologies
  • Identification of Face Age Progression and Rejuvenation using Generative Adversarial Networks
  • Empowering Clinical Decision-making with Generative AI in Intelligent Decision Support Systems
  • Leveraging Generative AI for Enhanced Predictive Maintenance and Anomaly Detection in Manufacturing
  • The Transformative Role of Big Data Analytics and Generative AI in Redefining FinTech for New Business Models
  • Enhancing Digital Security in Fintech Through Integration of Generative AI in Regulatory Practices
  • Text Summarization: An Application of Generative AI.