Machine Learning Approaches for Convergence of IoT and Blockchain. Группа авторов

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Machine Learning Approaches for Convergence of IoT and Blockchain - Группа авторов

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      First and foremost, we express heartfelt appreciation to all contributing authors for their hard work and patience. I would like to thank them for contributing chapters in this book. Thanks to the Scrivener Publishing team who helped us so much. Special thanks to Martin Scrivener for all his support, suggestions, and patience.

      The Editors June 2021

      1

      Blockchain and Internet of Things Across Industries

       Ananya Rakhra*, Raghav Gupta and Akansha Singh

       Department of CSE, ASET, Amity University, Noida, Uttar Pradesh, India

       Abstract

      In this chapter, we will come across different kinds of industries and how Internet of Things and blockchain technologies are applied to them. We commence with an overview about what an industry is and the nature of various industries, followed by knowledge about the technologies of IoT and blockchain. These technologies have facilitated advancement and ease in one’s day-to-day life, the industrial sector being one among many where its impact is prevalent notably. Further, incorporation of these technologies across various sectors of industry and their scope has been focused upon. The advancements brought about, especially in fields such as that of healthcare sector, have revolutionized the previously existing methods, helping us attain better care and improved life expectancy. Also, the scope of these technologies beyond the industrial sector has been discussed. These technologies have facilitated specialization, so much so that its positive imprint can clearly be seen onto the nation’s economy. This text on the whole allows the readers to attain a clear understanding and also unveils the great scope for further research and development offered by this sphere.

      Keywords: IoT, Internet of Things, blockchain, technology, industry, smart devices

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