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

Record Type:	Electronic resources : Monograph/item
Title/Author:	The 6th Joint International Conference on AI, Big Data and Blockchain (AIBB 2025)edited by Irfan Awan ... [et al.].
remainder title:	AIBB 2025
other author:	Awan, Irfan.
corporate name:
Published:	Cham :Springer Nature Switzerland :2025.
Description:	xii, 205 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Artificial intelligence
Online resource:	https://doi.org/10.1007/978-3-032-04728-1
ISBN:	9783032047281$q(electronic bk.)

The 6th Joint International Conference on AI, Big Data and Blockchain (AIBB 2025)
The 6th Joint International Conference on AI, Big Data and Blockchain (AIBB 2025)[electronic resource] /AIBB 2025edited by Irfan Awan ... [et al.]. - Cham :Springer Nature Switzerland :2025. - xii, 205 p. :ill. (some col.), digital ;24 cm. - Lecture notes in networks and systems,16182367-3389 ;. - Lecture notes in networks and systems ;v.1..

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.

ISBN: 9783032047281$q(electronic bk.)

Standard No.: 10.1007/978-3-032-04728-1doiSubjects--Topical Terms:

252958
Artificial intelligence

LC Class. No.: Q334

Dewey Class. No.: 006.3

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