Balamurugan Easwaran (editor) - Real-time Applications of Machine Learning in Cyber-physical Systems (Advances in Computational Intelligence and Robotics)

Real-Time Applications of Machine Learning in Cyber-Physical Systems

• Balamurugan Easwaran
  University of Africa, Toru-Orua, Nigeria
• Kamal Kant Hiran
  Sir Padampat Singhania University, India
• Sangeetha Krishnan
  University of Africa, Toru-Orua, Nigeria
• Ruchi Doshi
  Azteca University, Mexico

A volume in the Advances in Computational Intelligence and Robotics (ACIR) Book Series Book Series

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Library of Congress Cataloging-in-Publication Data

Names: Easwaran, Balamurugan, 1975- editor.
Title: Real-time applications of machine learning in cyber physical
systems / Balamurugan Easwaran, Kamal Hiran, Sangeetha
Krishnan, and Ruchi Doshi, editors.
Description: Hershey, PA : Engineering Science Reference, an imprint of IGI
Global, [2022] | Includes bibliographical references and index.
Identifiers: LCCN 2021043068 (print) | LCCN 2021043069 (ebook) | ISBN
9781799893103 (ebook) | ISBN 9781799893080 (h/c)
Subjects: LCSH: Electronic security systems. | Medical informatics. |
Agriculture--Decision making--Data processing. | Cooperating objects
(Computer systems) | Machine learning--Industrial applications.
Classification: LCC TH9737 (ebook) | LCC TH9737 .H36 2022 (print) | DDC
621.389/28 23/eng/20211--dc27
LC record available at https://lccn.loc.gov/2021043068

This book is published under the IGI Global book series Advances in Computational Intelligence and Robotics (ACIR) (ISSN: 2327-0411 eISSN: 2327-042X)

British Cataloguing in Publication Data

A Cataloguing in Publication record for this book is available from the British Library.

All work contributed to this book is new, previously-unpublished material. The views expressed in this book are those of the authors, but not necessarily of the publisher.

Advances in Computational Intelligence and Robotics (ACIR) Book Series Ivan Giannoccaro (University of Salento, Italy) ISSN: 2327-0411

While intelligence is traditionally a term applied to humans and human cognition, technology has progressed in such a way to allow for the development of intelligent systems able to simulate many human traits. With this new era of simulated and artificial intelligence, much research is needed in order to continue to advance the field and also to evaluate the ethical and societal concerns of the existence of artificial life and machine learning.

The Advances in Computational Intelligence and Robotics (ACIR) Book Series encourages scholarly discourse on all topics pertaining to evolutionary computing, artificial life, computational intelligence, machine learning, and robotics. ACIR presents the latest research being conducted on diverse topics in intelligence technologies with the goal of advancing knowledge and applications in this rapidly evolving field.

The Advances in Computational Intelligence and Robotics (ACIR) Book Series(ISSN 2327-0411) is published by IGI Global, 701 E. Chocolate Avenue, Hershey, PA 17033-1240, USA, www.igi-global.com. This series is composed of titlesavailable for purchase individually; each title is edited to be contextually exclusive from any other title within the series. For pricing and ordering information please visit http://www.igi-global.com/book-series/advances-computational-intelligence-robotics/73674. Postmaster: send all address changes to above address. Copyright 2022 IGI Global. All rights, including translation in other languages reserved by the pulisher. No part of this series may be reproduced or used in any form or by any means - graphics, electronic, or mechanical, including photocopying, recoreding, taping, or information and retrieval systems - without written permission from the publisher, except for non commercial, educational use, including classroom teaching purposes. The views expressed in this series are those of the authors, but not necessarily of IGI Global

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