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Scrivener Publishing100 Cummings Center, Suite 541J Beverly, MA 01915-6106

Modern Mathematics in Computer Science

Series Editors: Hanaa Hachimi, PhD, G. Suseendran, PhD, and Noor Zaman, PhD

Scope:The idea of a series of books on modern math methods used in computer science was conceived to address the great demand for information about today’s emerging computer science technologies. Modern math methods, including algorithms, encryptions, security, communication, machine learning, artificial intelligence and other math-based advanced concepts, form the backbone of these technologies and are crucial to them. Modern math plays a vital role in computing technologies by enhancing communication, computing, and extending security through different encryption algorithms. The ever-increasing demand for data storage capacity, from gigabytes to petabytes and higher, has higher requirements that need to be met. Modern math can match those requirements.

Empirical studies, theoretical and numerical analysis, and novel research findings are included in this series. The information highlighted in this series encourages cross-fertilization of ideas concerning the application of modern math methods in computer science.

Publishers at Scrivener Martin Scrivener ( martin@scrivenerpublishing.com) Phillip Carmical ( pcarmical@scrivenerpublishing.com)

Edited by

T. Ananth Kumar,

E. Golden Julie,

Y. Harold Robinson,

and

S. M. Jaisakthi

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.

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Library of Congress Cataloging-in-Publication Data

ISBN 9781119785378

Cover image: Mathematical - Jevtic | Dreamstime.com

Cover design by Kris Hackerott

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

This book addresses primary computational techniques for developing new technologies in terms of soft computing. It also highlights the security, privacy, artificial intelligence, and practical approach in all fields of science and technologies. It highlights the current research which is intended to advance not only in mathematics but in all the possible areas of science and technologies for research and development. As the book is focused on the emerging concepts in machine learning and artificial intelligence algorithmic approaches and soft computing techniques, it will be used by researchers, academicians, data scientists and technology developers.