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Handbook of Research on Deep Learning Techniques for Cloud-Based Industrial IoT

Handbook of Research on Deep Learning Techniques for Cloud-Based Industrial IoT

Handbook of Research on Deep Learning Techniques for Cloud-Based Industrial IoT Hardback - 2023

by P. Swarnalatha (Editor); S. Prabu (Editor)

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Details

  • Title Handbook of Research on Deep Learning Techniques for Cloud-Based Industrial IoT
  • Author P. Swarnalatha (Editor); S. Prabu (Editor)
  • Binding Hardback
  • Condition New
  • Pages 400
  • Volumes 1
  • Language ENG
  • Publisher IGI Global
  • Publication date 2023-06-16
  • Features Bibliography, Index
  • Bookseller's Inventory # ria9781668480984_inp
  • ISBN 9781668480984 / 1668480980
  • Weight 3.02 lbs (1.37 kg)
  • Dimensions 11 x 8.5 x 1 in (27.94 x 21.59 x 2.54 cm)
  • Category Computers - General Information
  • Library of Congress subjects Cloud computing, Internet of things - Industrial applications
  • Library of Congress Catalogue Number 2023000689
  • Dewey Decimal Code 004.678
  • Quantity available 1033

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Reader reviews for Handbook of Research on Deep Learning Techniques for Cloud-Based Industrial IoT

From the publisher

Today's business world is changing with the adoption of the internet of things (IoT). IoT is helping in prominently capturing a tremendous amount of data from multiple sources. Realizing the future and full potential of IoT devices will require an investment in new technologies. The Handbook of Research on Deep Learning Techniques for Cloud-Based Industrial IoT demonstrates how the computer scientists and engineers of today might employ artificial intelligence in practical applications with the emerging cloud and IoT technologies. The book also gathers recent research works in emerging artificial intelligence methods and applications for processing and storing the data generated from the cloud-based internet of things. Covering key topics such as data, cybersecurity, blockchain, and artificial intelligence, this premier reference source is ideal for industry professionals, engineers, computer scientists, researchers, scholars, academicians, practitioners, instructors, and students.
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