Decentralized Futures : Navigating the Integration of Blockchain Technology with Artificial Intelligence
Book Details
Format
Hardback or Cased Book
ISBN-10
1041111665
ISBN-13
9781041111665
Publisher
Taylor & Francis Ltd
Imprint
CRC Press
Country of Manufacture
GB
Country of Publication
GB
Publication Date
Oct 26th, 2026
Print length
360 Pages
Product Classification:
Applied mathematicsAutomatic control engineeringSupercomputersAlgorithms & data structuresAlgorithms and data structuresDistributed databasesMathematical theory of computationComputer architecture & logic designComputer architecture and logic designArtificial intelligenceArtificial intelligence (AI)
Ksh 23,400.00
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This book explores blockchain technology, covering applications, security, and AI integration. It examines blockchain frameworks, consensus mechanisms, and machine learning techniques for fraud detection and data analysis. Targeted at data scientists, engineers, researchers, and students interested in blockchain-AI integration.
This book provides readers with a comprehensive grasp of blockchain technology by exploring its applications, security measures and protocols along with the need for safe blockchain networks, and the incorporation of artificial intelligence improving blockchain performance. Decentralized Futures: Navigating the Integration of Blockchain Technology with Artificial Intelligence seeks to provide readers with a thorough understanding of blockchain technology, security frameworks, and the integration of artificial intelligence. The book initially focuses on the fundamental characteristics of blockchain, alongside various implementation frameworks. The authors explore machine learning techniques to identify suspicious and fraudulent transaction patterns, such as in behavior analysis and examine AI-based clustering and classification techniques to break apart blockchain data for easier processing and more efficient analysis. Additionally, this book provides an in-depth examination of consensus mechanisms that enhance blockchain effectiveness. Through real-world applications, readers will gain practical insights by applying the lessons and guidance from these examples to their own work. The book investigates how AI integration with blockchain creates effective decentralized futures, while also providing an exploratory perspective on the opportunities and challenges inherent in this convergence. This book targets a mixed audience of data scientists, engineers, researchers, academics, and students on different levels to share and contribute cutting-edge technologies, methodologies, frameworks, and practices in the Blockchain integrated with AI.
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