Industrial Internet of Things (IIoT). Группа авторов

341

      344  342

      345  343

      346  344

      347  345

      348  346

      349  347

      350  348

      351  349

      352  350

      353  351

      354  352

      355  353

      356  354

      357  355

      358  356

      359  357

      360  358

      361  359

      362  360

      363  361

      364  362

      365  363

      366 364

      367  365

      368  366

      369  367

      370  369

      371  370

      372  371

      373  372

      374  373

      375  374

      376  375

      377  376

      378  377

      379  378

      380  379

      381  380

      382  381

      383  382

      384  383

      385  384

      386  385

      387  386

      388  387

      389  388

      390  389

      391  390

      392  391

      393  392

      394  393

      395 394

      396 395

      397 396

      398 397

      399 398

      400 399

      401 400

      402 401

      403 402

      404  403

      405  404

      406  405

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

       Advances in Learning Analytics for Intelligent Cloud-IoT Systems

       Series Editors: Dr. Souvik Pal and Dr. Dac-Nhuong Le

      Scope: The role of adaptation, learning analytics, computational Intelligence, and data analytics in the field of Cloud-IoT Systems is becoming increasingly essential and intertwined. The capability of an intelligent system depends on various self-decision making algorithms in IoT Devices. IoT based smart systems generate a large amount of data (big data) that cannot be processed by traditional data processing algorithms and applications. Hence, this book series involves different computational methods incorporated within the system with the help of Analytics Reasoning and Sense-making in Big Data, which is centered in the Cloud and IoT-enabled environments.

      The series seeks volumes that are empirical studies, theoretical and numerical analysis, and novel research findings. The series encourages cross-fertilization of highlighting research and knowledge of Data Analytics, Machine Learning, Data Science, and IoT sustainable developments.

      Please send proposals to:

      Dr. Souvik Pal

      Department of Computer Science & Engineering

      Sister Nivedita University

      (Techno India Group)

      Kolkata, India

      [email protected]

      Dr. Dac-Nhuong Le

      Faculty of Information Technology, Haiphong University, Haiphong, Vietnam [email protected]

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

      The Industrial Internet of Things (IIoT)

      Intelligent Analytics for Predictive Maintenance

      Edited by

      R. Anandan

      Suseendran Gopalakrishnan

      Souvik Pal

       and

      Noor Zaman

      This edition first published 2022 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

      © 2022 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 merchantability or fitness for a particular