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Generative artificial intelligence (AI) approaches for industrial applications

Record Type:	Electronic resources : Monograph/item
Title/Author:	Generative artificial intelligence (AI) approaches for industrial applications/ edited by Narasimha Rao Vajjhala ... [et al.].
other author:	Vajjhala, Narasimha.
Published:	Cham :Springer Nature Switzerland : : 2025.,
Description:	xviii, 342 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer Nature eBook
Subject:	Artificial intelligence - Industrial applications. -
Online resource:	https://doi.org/10.1007/978-3-031-76710-4
ISBN:	9783031767104

Generative artificial intelligence (AI) approaches for industrial applications
Generative artificial intelligence (AI) approaches for industrial applications[electronic resource] /edited by Narasimha Rao Vajjhala ... [et al.]. - Cham :Springer Nature Switzerland :2025. - xviii, 342 p. :ill. (some col.), digital ;24 cm. - Information systems engineering and management,v. 243004-9598 ;. - Information systems engineering and management ;v. 24..

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.

"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.

ISBN: 9783031767104

Standard No.: 10.1007/978-3-031-76710-4doiSubjects--Topical Terms:

653318
Artificial intelligence
--Industrial applications.

LC Class. No.: TA347.A78 / G46 2025

Dewey Class. No.: 006.3

Generative artificial intelligence (AI) approaches for industrial applications
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520 $a "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.
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