Jain Prince (9 results)

Condition: New.

Condition: New.

Hardcover. Condition: new. Hardcover. 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 (AI) 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, delving into use cases, security, and the integration of AI. The book initially focuses on the characteristics of blockchain, along with different frameworks. The authors delve into 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. In addition, this book also has a deep dive into the consensus mechanisms that makes blockchain more effective. The book contains case studies from real-world applications, and readers will learn by applying the take-home messages and guidance in these case studies to their works. The book explores the integration of AI with blockchain to make decentralized futures in an effective way. It will also give an explorative idea of opportunities and challenges of this integration. 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 blockchain integrated with AI. 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 item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Hardcover. Condition: new. Hardcover. 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 (AI) 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, delving into use cases, security, and the integration of AI. The book initially focuses on the characteristics of blockchain, along with different frameworks. The authors delve into 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. In addition, this book also has a deep dive into the consensus mechanisms that makes blockchain more effective. The book contains case studies from real-world applications, and readers will learn by applying the take-home messages and guidance in these case studies to their works. The book explores the integration of AI with blockchain to make decentralized futures in an effective way. It will also give an explorative idea of opportunities and challenges of this integration. 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 blockchain integrated with AI. 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 item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

HRD. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Hardcover. Condition: new. Hardcover. 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 (AI) 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, delving into use cases, security, and the integration of AI. The book initially focuses on the characteristics of blockchain, along with different frameworks. The authors delve into 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. In addition, this book also has a deep dive into the consensus mechanisms that makes blockchain more effective. The book contains case studies from real-world applications, and readers will learn by applying the take-home messages and guidance in these case studies to their works. The book explores the integration of AI with blockchain to make decentralized futures in an effective way. It will also give an explorative idea of opportunities and challenges of this integration. 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 blockchain integrated with AI. 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 item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…

HRD. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Buch. Condition: Neu. Decentralized Futures | Navigating the Integration of Blockchain Technology with Artificial Intelligence | Amrutanshu Panigrahi (u. a.) | Buch | Einband - fest (Hardcover) | Englisch | 2026 | CRC Press | EAN 9781041111665 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand. …

Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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 (AI) 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, delving into use cases, security, and the integration of AI. The book initially focuses on the characteristics of blockchain, along with different frameworks. The authors delve into 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. In addition, this book also has a deep dive into the consensus mechanisms that makes blockchain more effective. The book contains case studies from real-world applications, and readers will learn by applying the take-home messages and guidance in these case studies to their works. The book explores the integration of AI with blockchain to make decentralized futures in an effective way. It will also give an explorative idea of opportunities and challenges of this integration. 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 blockchain integrated with AI.…