Generative Artificial Intelligence (AI) Approaches for Industrial Applications
| Corporate Author: | |
|---|---|
| Other Authors: | , , , |
| Summary: | XVIII, 342 p. 60 illus., 39 illus. in color. text |
| Language: | English |
| Published: |
Cham :
Springer Nature Switzerland : Imprint: Springer,
2025.
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| Edition: | 1st ed. 2025. |
| Series: | Information Systems Engineering and Management,
24 |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/978-3-031-76710-4 |
| Format: | Electronic Book |
Table of Contents:
- 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.