T. Kavitha - Convergence of Deep Learning and Internet of Things: Computing and Technology

Convergence of Deep Learning and Internet of Things:

Computing and Technology

• T. Kavitha
  New Horizon College of Engineering (Autonomous), India & Visvesvaraya Technological University, India
• G. Senbagavalli
  AMC Engineering College, Visvesvaraya Technological University, India
• Deepika Koundal
  University of Petroleum and Energy Studies, Dehradun, India
• Yanhui Guo
  University of Illinois, USA
• Deepak Jain
  Chongqing University of Posts and Telecommunications, China

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: Kavitha, T., 1979- editor.
Title: Convergence of deep learning and internet of things : computing and
technology / T. Kavitha, Senbagavalli Ganesan, Deepika Koundal, Yanhui
Guo, Deepak Jain, editors.
Description: Hershey, PA : Engineering Science Reference, [2023] | Includes
bibliographical references and index. | Summary: "For those interested
in design and building intelligent Internet of Things, this research
book offers solutions with the state-of-the-art and novel approaches for
the IoT problems and challenges from a deep learning perspective"-
Provided by publisher.
Identifiers: LCCN 2022034109 (print) | LCCN 2022034110 (ebook) | ISBN
9781668462751 (h/c) | ISBN 9781668462768 (s/c) | ISBN 9781668462775
(eISBN)
Subjects: LCSH: Internet of things. | Deep learning (Machine learning) |
Convergence (Telecommunication)
Classification: LCC TK5105.8857 .C67 2023 (print) | LCC TK5105.8857
(ebook) | DDC 004.67/8--dc23/eng/20220906
LC record available at https://lccn.loc.gov/2022034109
LC ebook record available at https://lccn.loc.gov/2022034110

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All work contributed to this book is new, previously-unpublished material.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 2023 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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