Generative Artificial Intelligence (AI) Approaches for Industrial Applications

2025
ISBN: 978-3-031-76709-8
Verlag: Springer Nature Switzerland

Buch, Englisch, 342 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 703 g

Reihe: Information Systems Engineering and Management

"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.

Zielgruppe

Research

Autoren/Hrsg.

Vajjhala, Narasimha Rao

Hoque Chowdhury, Muhammad Enamul

Roy, Sanjiban Sekhar

Ta¿c¿, Burak

Tasci, Burak

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken

Inhaltsverzeichnis

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.

Über Autor(innen)

Narasimha Rao Vajjhala currently serves as the Dean of the Faculty of Engineering and Architecture at the University of New York Tirana in Albania. He previously held the position of Chair for the Computer Science and Software Engineering programs at the American University of Nigeria. Dr. Vajjhala is a senior member of both the ACM and IEEE. He is the Editor-in-Chief of the International Journal of Risk and Contingency Management (IJRCM) and a member of the Risk Management Society (RIMS) and the Project Management Institute (PMI). With over 23 years of experience, Dr. Vajjhala has taught programming and database-related courses across Europe and Africa at both graduate and undergraduate levels. He has also worked as a consultant for technology firms in Europe and participated in EU-funded projects. Dr. Vajjhala holds a Doctorate in Information Systems and Technology from the United States, a Master of Science in Computer Science and Applications from India, and a Master of Business Administration specializing in Information Systems from Switzerland.

Sanjiban Sekhar Roy is a professor at the School of Computer Science and Engineering at Vellore Institute of Technology (VIT). He has published approximately ten books with esteemed international publishers such as Elsevier, Springer, and IGI Global, showcasing his expertise in the field. Professor Roy has also published articles in high-impact journals, delivered keynote speeches at flagship conferences, and edited special issues in reputed journals. During his master's program, Dr. Roy completed a nine-month research internship at the Indian Institute of Technology (IIT) Kharagpur, further enhancing his academic credentials. He is GATE exam qualified and has guided a Ph.D. scholar, reflecting his dedication to research and education. Dr. Roy's contributions to academic research were recognized with the "Diploma of Excellence" award in 2019 from the Ministry of National Education, Romania, and "Aurel Vlaicu" University Arad, Faculty of Engineers, Romania. His research interests focus on machine learning and deep learning applications, including deep convolutional networks and generative AI, as well as large language models (LLMs) for imaging and other engineering domains. To explore his recently published works

Burak TASCI is a senior member of the Institute of Electrical and Electronics Engineers (IEEE) and received a BS, MS, and PhD from the Electrical and Electronics Engineering Department at the University of Firat of Turkey in 2007, 2015, and 2021, respectively. He is an associate professor at the Vocational School of Technical Sciences at the University of Firat in Turkey. His research interests include machine learning, artificial intelligence, deep learning, and embedded systems.

Muhammad E. H. Chowdhury, who earned his Ph.D. from the University of Nottingham, U.K., in 2014, is now an Assistant Professor and program coordinator at the Department of Electrical Engineering, Qatar University. His impressive academic journey includes eight patents and a substantial body of work, with over 180 peer-reviewed journal articles, 30+ conference papers, 15 book chapters, and two edited books. His current research interests, which are at the forefront of the field, include biomedical instrumentation, signal processing, wearable sensors, medical image analysis, machine learning, and computer vision. He has been listed among the top 2% of scientists on the World List published by Stanford University.