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
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