Intelligent Computing on IoT 2.0, Big Data Analytics, and Block Chain Technology
- Publisher's listprice GBP 49.99
-
23 882 Ft (22 745 Ft + 5% VAT)
The price is estimated because at the time of ordering we do not know what conversion rates will apply to HUF / product currency when the book arrives. In case HUF is weaker, the price increases slightly, in case HUF is stronger, the price goes lower slightly.
- Discount 20% (cc. 4 776 Ft off)
- Discounted price 19 106 Ft (18 196 Ft + 5% VAT)
Subcribe now and take benefit of a favourable price.
Subscribe
23 882 Ft
Availability
Not yet published.
Why don't you give exact delivery time?
Delivery time is estimated on our previous experiences. We give estimations only, because we order from outside Hungary, and the delivery time mainly depends on how quickly the publisher supplies the book. Faster or slower deliveries both happen, but we do our best to supply as quickly as possible.
Product details:
- Edition number 1
- Publisher Chapman and Hall
- Date of Publication 26 December 2025
- ISBN 9781032352954
- Binding Paperback
- No. of pages418 pages
- Size 254x178 mm
- Language English
- Illustrations 190 Illustrations, black & white; 9 Halftones, black & white; 181 Line drawings, black & white; 46 Tables, black & white 700
Categories
Short description:
The book is designed as a reference text and explores the concepts and techniques of IoT, AI, and blockchain.
MoreLong description:
The book is designed as a reference text and explores the concepts and techniques of IoT, artificial intelligence (AI), and blockchain. It also discusses the possibility of applying blockchain for providing security in various domains. The specific highlight of this book is focused on the application of integrated technologies in enhancing data models, better insights and discovery, intelligent predictions, smarter finance, smart retail, global verification, transparent governance, and innovative audit systems.
- The book discusses the potential of blockchain to significantly increase data while boosting accuracy and integrity in IoT-generated data and AI-processed information.
- It elucidates definitions, concepts, theories, and assumptions involved in smart contracts and distributed ledgers related to IoT systems and AI approaches.
- The book offers real-world uses of blockchain technologies in different IoT systems and further studies its influence in supply chains and logistics, the automotive industry, smart homes, the pharmaceutical industry, agriculture, and other areas.
- It also presents readers with ways of employing blockchain in IoT and AI, helping them to understand what they can and cannot do with blockchain.
- The book is aimed primarily at advanced undergraduates and graduates studying computer science, computer engineering, electrical engineering, information systems, computational sciences, artificial intelligence, and information technology. Researchers and professionals will also find this book very useful.
Table of Contents:
1. Introduction to Intelligent Computing on IoT 2.0, Big Data, and BlockChain Technology. 2. A comprehensive survey of blockchain in IoT: Technological Solutions, Systems, Techniques 3. Realtime Cloud Applications 4. The Role of BlockChain in IoT 5. AI and Blockchain-enabled Onion Routing: Protocol to Secure IoT communication 6. Blockchain Development in the Banking and Financial Industry 7. Blockchain-based eCommerce warranty system using NFTs 8. Analysis of a Queueing System with Batch Poisson Arrivals and Batch Services in Blockchain Applications 9. Emerging Trends in Sensors, IoT and Smart Systems 10. Blockchain Development in Industries: A Systematic Review 11. Smart Agricultural system Using IoT 2.0. 12. Smart Health monitoring and management system 13. Pollution Monitoring and Governance in Smart City using IoT 14. Sensor Technology in IoT 15. An Energy-aware task scheduling method using the meta-heuristic algorithm in IoT environments 16. Realtime AI applications in IoT based on cloud collaboration 17. IoT Supported Dynamic Emergency Evacuation: Modelling and Simulation 18. Networking Technologies for IoT 19. Vulnerability Assessment of Industrial and Agricultural Control Systems within the IoT Framework 20. Intrusion Detection in Internet of Things with Machine Learning and Deep Learning: A Review 21. An Enhanced Effective Methodology To Detect Intrusions Using Machine Learning
More
Advanced Pulse-Width-Modulation: With Freedom to Optimize Power Electronics Converters
