Intelligent Computing on IoT 2.0, Big Data Analytics, and Block Chain Technology Intelligent Computing on IoT 2.0, Big Data Analytics, and Block Chain Technology

Intelligent Computing on IoT 2.0, Big Data Analytics, and Block Chain Technology

Mohammad S. Obaidat 및 다른 저자
    • US$69.99
    • US$69.99

출판사 설명

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.

장르
컴퓨터 및 인터넷
출시일
2024년
5월 23일
언어
EN
영어
길이
418
페이지
출판사
CRC Press
판매자
Taylor & Francis Group
크기
49
MB
Cybersecurity Defensive Walls in Edge Computing Cybersecurity Defensive Walls in Edge Computing
2025년
Advances in Distributed Computing and Machine Learning Advances in Distributed Computing and Machine Learning
2025년
Advances in Distributed Computing and Machine Learning Advances in Distributed Computing and Machine Learning
2025년
Computer Science and Educational Informatization Computer Science and Educational Informatization
2025년
Federated Learning for Digital Healthcare Systems Federated Learning for Digital Healthcare Systems
2024년
E-Business and Telecommunications E-Business and Telecommunications
2021년