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Preface

Blockchain technology and the Internet of Things (IoT) are two of the most impactful trends to have emerged in the field of machine learning. And although there are a number of books available solely on the subjects of machine learning, IoT and blockchain technology, no such book has been available which focuses on machine learning techniques for IoT and blockchain convergence until now. Thus, this book is unique in terms of the topics it covers. Designed as an essential guide for all academicians, researchers and those in industry who are working in related fields, this book will provide insights into the convergence of blockchain technology and the IoT with machine learning.

A rapidly advancing fourth industrial revolution, brought about by a digital revolution characterized by the convergence of technologies, is blurring the lines between physical, digital and biological objects. The speed of the fourth revolution, which is evolving at an exponential rate, certainly cannot be compared with that of any previous technologies. Some of these technologies include the artificial intelligence (AI) and IoT currently being used in interactions and operations in various fields such as home appliances, autonomous vehicles, nanotechnology, robotics, cognitive systems and wearable devices; and nowadays the potential of blockchain technology is also being realized in many sectors as well, since security is a crucial factor everywhere.

Readers in many domains will be interested in this book as it covers two major areas of the field of machine learning—blockchain technology and the IoT. Also, it will be appealing for those who want to further their research in this area, as the latest topics are covered. Therefore, the target audience of this book is composed of professionals and researchers working in the field of machine learning with IoT and blockchain technology. Moreover, the book will provide insights and support from practitioners and academia in order to highlight the most debated aspects in the field. A detailed description of each topic relevant to machine learning technologies is presented along with the concepts involved in their convergence. In addition, research problems are included to facilitate further research based on the concepts described in the book.

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