Convergence of Blockchain, AI, and IoT Concepts and Challenges |
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| Editor:
| Indrakumari, R.
Kumar, R. Lakshmana
Balusamy, B.
Asirvadam, Vijanth Sagayan |
| Series title: | Innovations in Big Data and Machine Learning Ser. |
| ISBN: | 978-1-003-08118-0 |
| Publication Date: | Dec 2021 |
| Publisher: | Taylor & Francis Group
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| Imprint: | CRC Press |
| Book Format: | Digital (delivered electronically) |
| List Price: | USD $58.95 |
Book Description:
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Convergence of Blockchain, AI, and IoT: Concepts and Challenges discusses the convergence of three powerful technologies that play into the digital revolution and blur the lines between biological, digital, and physical objects. This book covers novel algorithms, solutions for addressing issues in applications, security, authentication, and privacy.
The book provides an overview of the clinical scientific research enabling smart diagnosis equipment through AI. It presents the...
More Description
Convergence of Blockchain, AI, and IoT: Concepts and Challenges discusses the convergence of three powerful technologies that play into the digital revolution and blur the lines between biological, digital, and physical objects. This book covers novel algorithms, solutions for addressing issues in applications, security, authentication, and privacy.
The book provides an overview of the clinical scientific research enabling smart diagnosis equipment through AI. It presents the role these technologies play in augmented reality and blockchain, covers digital currency managed with bitcoin, and discusses deep learning and how it can enhance human thoughts and behaviors.
Targeted audiences range from those interested in the technical revolution of blockchain, big data and the Internet of Things, to research scholars and the professional market.