[Call for Chapters] Generative AI: The Key to Seamless Interoperability
Bangaluru, India
Organization: REVA University
Call for Chapters | Generative AI: The Key to Seamless Interoperability
EDITORS
Dr. Ambili P S, Associate Professor, School of Computer Science and Applications, REVA University, Bangalore, India.
Dr. Rajeev Ranjan, Associate Professor, School of Computer Science and Applications, REVA University, Bangalore, India.
Quality unpublished works as chapters are invited to the book. The chapters should strictly be according to the coverage scope of the book.
SCOPE & OBJECTIVES OF THE BOOK
Generative AI, a subset of artificial intelligence, with its ability to create new content, find solutions to complex problems, has emerged as a powerful tool for enhancing interoperability between various domains. This book is a deep dive into the profound impact of generative AI in achieving interoperability, ensuring efficiency, fostering innovation, and an inspection of how technologies can work together harmoniously in heterogeneous environments. Contributors are encouraged to provide in-depth analyses, theoretical advancements, practical insights, applications and case studies into how Generative AI can drive interoperability in sectors such as healthcare, finance, manufacturing, and beyond.
Chapter proposals on the following topics (but not limited to) are invited from researchers, industry professionals, and academicians:
- Overview of generative AI concepts and their relevance to interoperability challenges;
- Generative Models: A Foundation for Seamless Data Integration;
- Enhancing Cross-Platform Communication through Generative AI;
- Generative AI in Healthcare: Interoperability in Electronic Health Records;
- Case studies of generative AI improving data exchange in healthcare systems;
- Personalized Experiences in Education through Generative AI;
- Financial Systems Integration: A Generative AI Approach.
- Applying generative models to achieve seamless interoperability in finance;
- Manufacturing and Industry 4.0: Connecting Systems with Generative AI;
- Generative AI for Interoperable IoT Ecosystems;
- Natural Language Processing and Generative AI: Bridging Communication Gaps;
- Privacy-Preserving Interoperability with Generative Models;
- Generative AI in Smart Cities: Achieving Urban Interoperability;
- Generative AI for Legacy System Integration.
- Interoperability in Multimodal Systems with Generative AI;
- Generative AI in Cloud Computing: Achieving Cross-Cloud Interoperability;
- Generative AI for Sustainable Development Goals;
- Addressing ethical challenges in AI-driven interoperability;
- Standardization and Generative AI: Towards Global Interoperability;
- The Path Forward for Generative AI and Interoperability.
IMPORTANT DATES
Chapter abstract submission: October 30th, 2024
Full chapter submission: December 31st, 2024
Book publication: April 2025
IMPORTANT GUIDELINES & NOTES
- The chapters (abstracts/full-texts) should be submitted to the volume editor, Dr. Ambili P S at drambilips@gmail.com
- A chapter should NOT exceed 15% similarity of content from all sources.
- All chapters will be reviewed by chapter reviewers (peer-reviewers) before acceptance by the book editor. The chapters will be reviewed using a double-blind peer review system.
- There is NO chapter submission/processing or publishing charge.
BOOK’s AVAILABILITY
The book has been accepted by CSMFL Publications and will be published in print and ebook formats. The book will be available via-
- EBSCOhost Academic Collection
- EBSCO Ebooks
- GOBI
- ProQuest Ebook Central
- Google Play Books
- WorldCat Discovery Service/OCLC
- Google Books
- CrossRef Metadata Search
- CSMFL Bookstore and leading 200+ book resellers and academic content vendors worldwide.
The book chapters will also be available in Google Scholar and other academic source databases.
https://www.csmflpublications.com/cfp-generative-ai-interoperability/
Dr. Ambili P S