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Machine Learning, Blockchain Technologies and Big Data Analytics for IoTs: Methods, technologies and applications

edited by Amit Kumar Tyagi, Ajith Abraham, Farookh Khadeer Hussain, Arturas Kaklauskas and R. Jagadeesh Kannan
The Institution of Engineering and Technology, 2022
Cloth: 978-1-83953-339-6 | eISBN: 978-1-83724-509-3 (ePub) | eISBN: 978-1-83953-340-2 (PDF)

ABOUT THIS BOOK

Internet of Things (IoTs) are now being integrated at a large scale in fast-developing applications such as healthcare, transportation, education, finance, insurance and retail. The next generation of automated applications will command machines to do tasks better and more efficiently. Both industry and academic researchers are looking at transforming applications using machine learning and deep learning to build better models and by taking advantage of the decentralized nature of Blockchain. But the advent of these new technologies also brings very high expectations to industries, organisations and users. The decrease of computing costs, the improvement of data integrity in Blockchain, and the verification of transactions using Machine Learning are becoming essential goals.
See other books on: Computers | Machine Learning | Networking | Tyagi, Amit Kumar