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Convergence of Blockchain and Internet of Things in Healthcare

2024-04-22 Technology & Engineering
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Release : 2024-04-22
Genre : Technology & Engineering
Kind : eBook
Book Rating : 349/5 ( reviews)

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Book Synopsis Convergence of Blockchain and Internet of Things in Healthcare by : Arun Kumar Rana

Download or read book Convergence of Blockchain and Internet of Things in Healthcare written by Arun Kumar Rana. This book was released on 2024-04-22. Available in PDF, EPUB and Kindle. Book excerpt: The Internet of Things (IoT) and blockchain are two new technologies that combine elements in many ways. A system where the virtual and physical worlds interact is created by integrating pervasive computing, ubiquitous computing, communication technologies, sensing technologies, Internet Protocol, and embedded devices. A massive number of linked devices and vast amounts of data present new prospects for developing services that can directly benefit the economy, environment, society, and individual residents. Due to the size of IoT and insufficient data security, security breaches may have a huge impact and negative effects. IoT not only connects gadgets but also people and other entities, leaving every IoT component open to a wide variety of assaults. The implementation and application of IoT and blockchain technology in actual scientific, biomedical, and data applications are covered in this book. The book highlights important advancements in health science research and development by applying the distinctive capabilities inherent to distributed ledger systems. Each chapter describes the current uses of blockchain in real-world data collection, medicine development, device tracking, and more meaningful patient interaction. All of these are used to create opportunities for expanding health science research. This paradigm change is studied from the perspectives of pharmaceutical executives, biotechnology entrepreneurs, regulatory bodies, ethical review boards, and blockchain developers. Key Features: Provides a foundation for the implementation process of blockchain and IoT devices based on healthcare-related technology Image processing and IoT device researchers can correlate their work with other requirements of advanced technology in the healthcare domain Conveys the latest technology, including artificial intelligence and machine learning, in healthcare-related technology Useful for the researcher to explore new things like security, cryptography, and privacy in healthcare related technology Tailored for people who want to start in healthcare-related technology with blockchain and IoT This book is primarily for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics and communication engineering, computer science and engineering, and biomedical engineering.

Convergence of Internet of Things and Blockchain Technologies

2021-08-31 Technology & Engineering
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Release : 2021-08-31
Genre : Technology & Engineering
Kind : eBook
Book Rating : 165/5 ( reviews)

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Book Synopsis Convergence of Internet of Things and Blockchain Technologies by : H L Gururaj

Download or read book Convergence of Internet of Things and Blockchain Technologies written by H L Gururaj. This book was released on 2021-08-31. Available in PDF, EPUB and Kindle. Book excerpt: This book presents chapters from diverse range of authors on different aspects of how Blockchain and IoT are converging and the impacts of these developments. The book provides an extensive cross-sectional and multi-disciplinary look into this trend and how it affects artificial intelligence, cyber-physical systems, and robotics with a look at applications in aerospace, agriculture, automotive, critical infrastructures, healthcare, manufacturing, retail, smart transport systems, smart cities, and smart healthcare. Cases include the impact of Blockchain for IoT Security; decentralized access control systems in IoT; Blockchain architecture for scalable access management in IoT; smart and sustainable IoT applications incorporating Blockchain, and more. The book presents contributions from international academics, researchers, and practitioners from diverse perspectives. Presents how Blockchain and IoT are converging and the impacts of these developments on technology and its application; Discusses IoT and Blockchain from cross-sectional and multi-disciplinary perspectives; Includes contributions from researchers, academics, and professionals from around the world.

Machine Learning Approaches for Convergence of IoT and Blockchain

2021-07-16 Computers
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Release : 2021-07-16
Genre : Computers
Kind : eBook
Book Rating : 875/5 ( reviews)

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Book Synopsis Machine Learning Approaches for Convergence of IoT and Blockchain by : Krishna Kant Singh

Download or read book Machine Learning Approaches for Convergence of IoT and Blockchain written by Krishna Kant Singh. This book was released on 2021-07-16. Available in PDF, EPUB and Kindle. Book excerpt: MACHINE LEARNING APPROACHES FOR CONVERGENCE OF IOT AND BLOCKCHAIN The unique aspect of this book is that its focus is the convergence of machine learning, IoT, and blockchain in a single publication. Blockchain technology and the Internet of Things (IoT) are two of the most impactful trends to have emerged in the field of machine learning. Although there are a number of books available solely on the subjects of machine learning, IoT and blockchain technology, no such book has been available which focuses on machine learning techniques for IoT and blockchain convergence until now. Thus, this book is unique in terms of the topics it covers. Designed as an essential guide for all academicians, researchers, and those in industry who are working in related fields, this book will provide insights into the convergence of blockchain technology and the IoT with machine learning. Highlights of the book include: Examines many industries such as agriculture, manufacturing, food production, healthcare, the military, and IT Security of the Internet of Things using blockchain and AI Developing smart cities and transportation systems using machine learning and IoT Audience The target audience of this book is professionals and researchers (artificial intelligence specialists, systems engineers, information technologists) in the fields of machine learning, IoT, and blockchain technology.

Applying Internet of Things and Blockchain in Smart Cities: Industry and Healthcare Perspectives

2024-08-26 Technology & Engineering
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Release : 2024-08-26
Genre : Technology & Engineering
Kind : eBook
Book Rating : /5 ( reviews)

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Book Synopsis Applying Internet of Things and Blockchain in Smart Cities: Industry and Healthcare Perspectives by : Abhishek, Kumar

Download or read book Applying Internet of Things and Blockchain in Smart Cities: Industry and Healthcare Perspectives written by Abhishek, Kumar. This book was released on 2024-08-26. Available in PDF, EPUB and Kindle. Book excerpt: The convergence of Internet of Things (IoT) technology and blockchain offers transformative potential for the development of smart cities, enhancing industry operations and healthcare systems. IoT devices generate vast amounts of data to optimize urban infrastructure and improve service delivery, while blockchain provides a secure, transparent framework for managing data. Across industries, this collaboration leads to smarter manufacturing processes and efficient logistics. In healthcare, it enhances patient care through secure data sharing and streamlined administrative processes. A concerted effort to address these technical, regulatory, and ethical challenges is crucial for effective and responsible integration of IoT and blockchain in smart cities for improved urban living and healthcare services. Applying Internet of Things and Blockchain in Smart Cities: Industry and Healthcare Perspectives explores the application of IoT and blockchain technology for smart city integration in healthcare industries and business processes. It offers solutions for this effective convergence, through aspects like cloud and digital technology, or security and privacy practices. This book covers topics such as machine learning, energy management, and wearable devices, and is a useful resource for business owners, computer engineers, agriculturalists, security professionals, healthcare workers, academicians, researchers, and scientists.

Machine Learning Approaches for Convergence of IoT and Blockchain

2021-08-10 Computers
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Release : 2021-08-10
Genre : Computers
Kind : eBook
Book Rating : 743/5 ( reviews)

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Book Synopsis Machine Learning Approaches for Convergence of IoT and Blockchain by : Krishna Kant Singh

Download or read book Machine Learning Approaches for Convergence of IoT and Blockchain written by Krishna Kant Singh. This book was released on 2021-08-10. Available in PDF, EPUB and Kindle. Book excerpt: MACHINE LEARNING APPROACHES FOR CONVERGENCE OF IOT AND BLOCKCHAIN The unique aspect of this book is that its focus is the convergence of machine learning, IoT, and blockchain in a single publication. Blockchain technology and the Internet of Things (IoT) are two of the most impactful trends to have emerged in the field of machine learning. Although there are a number of books available solely on the subjects of machine learning, IoT and blockchain technology, no such book has been available which focuses on machine learning techniques for IoT and blockchain convergence until now. Thus, this book is unique in terms of the topics it covers. Designed as an essential guide for all academicians, researchers, and those in industry who are working in related fields, this book will provide insights into the convergence of blockchain technology and the IoT with machine learning. Highlights of the book include: Examines many industries such as agriculture, manufacturing, food production, healthcare, the military, and IT Security of the Internet of Things using blockchain and AI Developing smart cities and transportation systems using machine learning and IoT Audience The target audience of this book is professionals and researchers (artificial intelligence specialists, systems engineers, information technologists) in the fields of machine learning, IoT, and blockchain technology.

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