Generative Artificial Intelligence (AI) Approaches for Industrial Applications
Series: Information Systems Engineering and Management; 24;
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77 157 Ft
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Estimated delivery time: In stock at the publisher, but not at Prospero's office. Delivery time approx. 3-5 weeks.
Not in stock at Prospero.
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Delivery time is estimated on our previous experiences. We give estimations only, because we order from outside Hungary, and the delivery time mainly depends on how quickly the publisher supplies the book. Faster or slower deliveries both happen, but we do our best to supply as quickly as possible.
Product details:
- Edition number 2025
- Publisher Springer
- Date of Publication 4 February 2025
- Number of Volumes 1 pieces, Book
- ISBN 9783031767098
- Binding Hardback
- No. of pages342 pages
- Size 235x155 mm
- Language English
- Illustrations 21 Illustrations, black & white; 39 Illustrations, color 676
Categories
Short description:
"Generative Artificial Intelligence (AI) Approaches for Industrial Applications" explores the transformative potential of Generative AI technologies across various industries. With contributions from international scholars and experts, this book provides a comprehensive overview of the latest trends, mathematical foundations, and practical applications of Generative AI models. Key sections examine the fundamental concepts of Generative AI, including Generative Adversarial Networks (GANs) and their ethical and security considerations. Special attention is given to the revolutionary impact of Generative AI in healthcare technologies, clinical decision-making, and predictive maintenance within the manufacturing sector. Additionally, the role of Generative AI in FinTech, particularly in redefining business models and enhancing digital security, is thoroughly examined. This book features cutting-edge research on text summarization, age progression using GANs, and integrating AI with regulatory practices. This book is a vital resource for academics, professionals, and practitioners bridging the gap between theoretical AI frameworks and their real-world industrial applications, offering insights into how Generative AI is shaping the future of industries worldwide.
MoreLong description:
"Generative Artificial Intelligence (AI) Approaches for Industrial Applications" explores the transformative potential of Generative AI technologies across various industries. With contributions from international scholars and experts, this book provides a comprehensive overview of the latest trends, mathematical foundations, and practical applications of Generative AI models. Key sections examine the fundamental concepts of Generative AI, including Generative Adversarial Networks (GANs) and their ethical and security considerations. Special attention is given to the revolutionary impact of Generative AI in healthcare technologies, clinical decision-making, and predictive maintenance within the manufacturing sector. Additionally, the role of Generative AI in FinTech, particularly in redefining business models and enhancing digital security, is thoroughly examined. This book features cutting-edge research on text summarization, age progression using GANs, and integrating AI with regulatory practices. This book is a vital resource for academics, professionals, and practitioners bridging the gap between theoretical AI frameworks and their real-world industrial applications, offering insights into how Generative AI is shaping the future of industries worldwide.
MoreTable 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.
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Generative Artificial Intelligence (AI) Approaches for Industrial Applications
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