Intelligent Computing on IoT 2.0, Big Data Analytics, and Block Chain Technology, 1st Edition eBook

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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.

This is a digital product.

Intelligent Computing on IoT 2.0, Big Data Analytics, and Block Chain Technology 1st Edition is written by Mohammad S. Obaidat, Padmalaya Nayak, Niranjan K. Ray and published by Chapman & Hall. The Digital and eTextbook ISBNs for Intelligent Computing on IoT 2.0, Big Data Analytics, and Block Chain Technology are 9781040019641, 1040019641 and the print ISBNs are 9781032351230, 1032351233. Additional ISBNs for this eTextbook include 9781003326236, 9781040019634.