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Internet of Things for Industry 4.0

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Cover of 'Internet of Things for Industry 4.0'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 A Survey on RFID in Industry 4.0
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    Chapter 2 Data Fusion-Based AI Algorithms in the Context of IIoTS
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    Chapter 3 Presents the Technology, Protocols, and New Innovations in Industrial Internet of Things (IIoT)
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    Chapter 4 Decision Making Models Through AI for Internet of Things
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    Chapter 5 Internet of Things and Additive Manufacturing: Toward Intelligent Production Systems in Industry 4.0
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    Chapter 6 Deep Learning Enabled Smart Industrial Workers Precaution System Using Single Board Computer (SBC)
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    Chapter 7 A Novel Design Augmentation of Bio-Inspired Artificial Immune Technique in Securing Internet of Things (IOT)
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    Chapter 8 Role of AI and Bio-Inspired Computing in Decision Making
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    Chapter 9 Smart Recognition System for Business Predictions (You Only Look Once – V3) Unified, Real-Time Object Detection
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    Chapter 10 IoT-Based Monitoring and Management of Electric Vehicle Charging Systems for DC Fast Charging Facility
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    Chapter 11 An Evolution of Innovations Protocols and Recent Technology in Industrial IoT
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    Chapter 12 Smart Meter: A Key Component for Industry 4.0 in Power Sector
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    Chapter 13 Role of Software-Defined Network in Industry 4.0
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    Chapter 14 Integrating IoT and Machine Learning – The Driving Force of Industry 4.0
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    Chapter 15 Machine Intelligence and Automation: Deep Learning Concepts Aiding Industrial Applications
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Title
Internet of Things for Industry 4.0
Published by
Springer International Publishing, February 2020
DOI 10.1007/978-3-030-32530-5
ISBNs
978-3-03-032529-9, 978-3-03-032530-5
Editors

Kanagachidambaresan, G. R., Anand, R., Balasubramanian, E., Mahima, V.

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X Demographics

The data shown below were collected from the profiles of 166 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 45%
Student > Bachelor 1 9%
Lecturer 1 9%
Student > Ph. D. Student 1 9%
Researcher 1 9%
Other 0 0%
Unknown 2 18%
Readers by discipline Count As %
Engineering 4 36%
Computer Science 3 27%
Economics, Econometrics and Finance 1 9%
Social Sciences 1 9%
Design 1 9%
Other 0 0%
Unknown 1 9%