The 6th Joint International Conference on AI, Big Data and Blockchain (AIBB 2025)
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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 networksBig data analytics to uncover hidden patterns and insightsBlockchain-based data management methods, privacy-preserving architecture and trust-enhancing systemsSecurity threat detection, fraud prevention and privacy-preserving applicationsWith applications ranging from industria...
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 networksBig data analytics to uncover hidden patterns and insightsBlockchain-based data management methods, privacy-preserving architecture and trust-enhancing systemsSecurity 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 approachesPractitioners and developers implementing enterprise-scale solutionsIndustry 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.
AI methodologies and modelling including machine learning and deep neural networksBig data analytics to uncover hidden patterns and insightsBlockchain-based data management methods, privacy-preserving architecture and trust-enhancing systemsSecurity 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 approachesPractitioners and developers implementing enterprise-scale solutionsIndustry 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.
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