Machine Learning Approaches for Convergence of IoT and Blockchain

  • 4h 1m
  • Akansha Singh, Krishna Kant Singh, Sanjay K. Sharma
  • John Wiley & Sons (US)
  • 2021
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.

In this Book

  • Blockchain and Internet of Things Across Industries
  • Layered Safety Model for IoT Services Through Blockchain
  • Internet of Things Security Using AI and Blockchain
  • Amalgamation of IoT, ML, and Blockchain in the Healthcare Regime
  • Application of Machine Learning and IoT for Smart Cities
  • Machine Learning Applications for IoT Healthcare
  • Blockchain for Vehicular Ad Hoc Network and Intelligent Transportation System: A Comprehensive Study
  • Applications of Image Processing in Teleradiology for the Medical Data Analysis and Transfer Based on IOT
  • Innovative Ideas to Build Smart Cities with the Help of Machine and Deep Learning and IoT