The 6th Joint International Conference on AI, Big Data and Blockchain (AIBB 2025)

Irfan Awan (u. a.)

ISBN 10: 3032047277 / ISBN 13: 9783032047274

Editore: Springer, 2025

The 6th Joint International Conference on AI, Big Data and Blockchain (AIBB 2025) | Irfan Awan (u. a.) | Taschenbuch | Lecture Notes in Networks and Systems | xii | Englisch | 2025 | Springer | EAN 9783032047274 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. Codice articolo 133942469

Riassunto:

This book brings together peer-reviewed research contributions exploring cutting-edge developments in AI, big data, and blockchain—fields that are transforming industries today. Written by leading experts, the chapters showcase advances in:

• AI methodologies and modelling—including machine learning and deep neural networks
• Big data analytics to uncover hidden patterns and insights
• Blockchain-based data management methods, privacy-preserving architecture and trust-enhancing systems
• Security threat detection, fraud prevention and privacy-preserving applications

 

With applications ranging from industrial-scale systems to real-world, high-stakes environments, this book serves as an essential resource for:

• Researchers exploring next-generation AI, blockchain and data science approaches
• Practitioners and developers implementing enterprise-scale solutions
• Industry professionals and policy-makers seeking best practices in secure, transparent and accountable computing

This book offers both theoretical depth and applied relevance, making it a valuable reference to guide innovation in data-driven and decentralised systems.

 

Dalla quarta di copertina:

This book brings together peer-reviewed research contributions exploring cutting-edge developments in AI, big data, and blockchain—fields that are transforming industries today. Written by leading experts, the chapters showcase advances in:

• AI methodologies and modelling—including machine learning and deep neural networks
• Big data analytics to uncover hidden patterns and insights
• Blockchain-based data management methods, privacy-preserving architecture and trust-enhancing systems
• Security threat detection, fraud prevention and privacy-preserving applications

 

With applications ranging from industrial-scale systems to real-world, high-stakes environments, this book serves as an essential resource for:

• Researchers exploring next-generation AI, blockchain and data science approaches
• Practitioners and developers implementing enterprise-scale solutions
• Industry professionals and policy-makers seeking best practices in secure, transparent and accountable computing

This book offers both theoretical depth and applied relevance, making it a valuable reference to guide innovation in data-driven and decentralised systems.

 

Dati bibliografici

Titolo: The 6th Joint International Conference on AI...
Casa editrice: Springer
Data di pubblicazione: 2025
Legatura: Taschenbuch
Condizione: Neu