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

Читать онлайн книгу Machine Learning Approaches for Convergence of IoT and Blockchain - Группа авторов страница 6

СКАЧАТЬ 225

      230  226

      231  227

      232  228

      233  229

      234  230

      235  231

      236  233

      237 234

      238 235

      239 236

      240  237

      Scrivener Publishing 100 Cummings Center, Suite 541J Beverly, MA 01915-6106

      Publishers at Scrivener Martin Scrivener ([email protected]) Phillip Carmical ([email protected])

      Machine Learning Approaches for Convergence of IoT and Blockchain

      Edited by

       Krishna Kant Singh

       Faculty of Engineering & Technology, Jain (Deemed-to-be University), Bengaluru, India

       Akansha Singh

       Amity University Uttar Pradesh, Noida, India

      and

       Sanjay Sharma

       KIET Group of Institutions, Delhi-NCR, Ghaziabad, India

images

      This edition first published 2021 by John Wiley & Sons, Inc., 111 River Street, Hoboken, NJ 07030, USA and Scrivener Publishing LLC, 100 Cummings Center, Suite 541J, Beverly, MA 01915, USA

      © 2021 Scrivener Publishing LLC

      For more information about Scrivener publications please visit www.scrivenerpublishing.com.

      All rights reserved. No part of this publication may be reproduced, stored in a retrieval system, or transmitted, in any form or by any means, electronic, mechanical, photocopying, recording, or otherwise, except as permitted by law. Advice on how to obtain permission to reuse material from this title is available at http://www.wiley.com/go/permissions.

       Wiley Global Headquarters

      111 River Street, Hoboken, NJ 07030, USA

      For details of our global editorial offices, customer services, and more information about Wiley products visit us at www.wiley.com.

       Limit of Liability/Disclaimer of Warranty

      While the publisher and authors have used their best efforts in preparing this work, they make no representations or warranties with respect to the accuracy or completeness of the contents of this work and specifically disclaim all warranties, including without limitation any implied warranties of merchant-ability or fitness for a particular purpose. No warranty may be created or extended by sales representatives, written sales materials, or promotional statements for this work. The fact that an organization, website, or product is referred to in this work as a citation and/or potential source of further information does not mean that the publisher and authors endorse the information or services the organization, website, or product may provide or recommendations it may make. This work is sold with the understanding that the publisher is not engaged in rendering professional services. The advice and strategies contained herein may not be suitable for your situation. You should consult with a specialist where appropriate. Neither the publisher nor authors shall be liable for any loss of profit or any other commercial damages, including but not limited to special, incidental, consequential, or other damages. Further, readers should be aware that websites listed in this work may have changed or disappeared between when this work was written and when it is read.

       Library of Congress Cataloging-in-Publication Data

      ISBN 978-1-119-76174-7

      Cover image: Pixabay.Com

      Cover design Russell Richardson

      Set in size of 11pt and Minion Pro by Manila Typesetting Company, Makati, Philippines Printed in the USA

      10 9 8 7 6 5 4 3 2 1

      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.