Machine Learning Approaches for Convergence of IoT and Blockchain /

The digital revolution is characterized by the convergence of technologies, rapidly advancing the 4th industrial revolution thereby blurring the lines between physical, digital and biological objects. The speed of the fourth revolution which evolves at an exponential rate cannot by any means be comp...

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Bibliographic Details
Main Authors: Singh, Krishna (Author), Singh, Akansha (Author), Sharma, Sanjay (Author)
Corporate Author: Safari, an O'Reilly Media Company
Format: eBook
Language:English
Published: Wiley-Scrivener, 2021.
Edition:1st edition.
Subjects:
Online Access:Connect to this electronic resource

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520 |a The digital revolution is characterized by the convergence of technologies, rapidly advancing the 4th industrial revolution thereby blurring the lines between physical, digital and biological objects. The speed of the fourth revolution which evolves at an exponential rate cannot by any means be compared with any previous technologies. AI and IoT employ the interactions and operations in various fields such as home appliances, autonomous vehicles, nanotechnology, robotics, cognitive systems, self-driving cars and wearable devices. The potential of blockchain technology is realized in many sectors as security plays a crucial role everywhere. This book deeply discusses two of the most critical emerging fields of machine learning: blockchain technology and the Internet of Things. 
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