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Industrial Internet of Things 1st Edition by Anand Sharma, Sunil Kumar Jangir, Manish Kumar, Dilip Kumar Choubey, Tarun Shrivastava, S Balamurugan ISBN 9780367702076 036770207X

Name: Industrial Internet of Things 1st Edition by Anand Sharma, Sunil Kumar Jangir, Manish Kumar, Dilip Kumar Choubey, Tarun Shrivastava, S Balamurugan ISBN 9780367702076 036770207X
SKU: EB-43861090
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Industrial Internet of Things Technologies and Research Directions 1st Edition Anand Sharma Digital Instant Download

Author(s): Anand Sharma, Sunil Kumar Jangir, Manish Kumar, Dilip Kumar Choubey, Tarun Shrivastava, S. Balamurugan

ISBN(s): 9780367702076, 036770207X

Edition: 1

File Details: PDF, 27.43 MB

Year: 2022

Language: English

SKU: EB-43861090 Category: Uncategorized Tags: Anand Sharma, Dilip Kumar Choubey, Manish Kumar, S. Balamurugan, Sunil Kumar Jangir, Tarun Shrivastava

Description

Industrial Internet of Things 1st Edition by Anand Sharma, Sunil Kumar Jangir, Manish Kumar, Dilip Kumar Choubey, Tarun Shrivastava, S Balamurugan – Ebook PDF Instant Download/Delivery: 9780367702076 ,036770207X
Full download Industrial Internet of Things 1st Edition after payment

Product details:

ISBN 10: 036770207X
ISBN 13: 9780367702076
Author: Anand Sharma, Sunil Kumar Jangir, Manish Kumar, Dilip Kumar Choubey, Tarun Shrivastava, S Balamurugan

This book focuses on the key technologies, challenges, and research directions of the Industrial Internet of Things (IIoT). It provides a basis for discussing open principles, methods, and research problems, and provides a systematic overview of the state-of-the-art research efforts, directions, and potential challenges associated with IIoT. Industrial Internet of Things: Technologies and Research Directions covers how industry automation is projected to be the largest and fastest-growing segment of the market. It explores the collaborative development of high-performance telecommunications, military, industrial, and general-purpose embedded computing applications, and offers a systematic overview of the state-of-the-art research efforts and new potential directions. Researchers, academicians, and professionals working in this inter-disciplinary area will be interested in this book.

Industrial Internet of Things 1st Edition Table of contents:

Chapter 1 Artificial Intelligence and Machine Learning for the Industrial Internet of Things (IIoT)

Chapter 2 Role of Internet of Things (IoT) in Electronic Waste Management

Chapter 3 Creating a Reliable IIoT Framework to Prioritize Workplace Safety in Industries Involving Hazardous Processes

Chapter 4 Parkinson Disease Prediction and Drug Personalization Using Machine Learning Techniques

Chapter 5 IoT and Deep Learning-Based Prophecy of COVID-19

Chapter 6 Machine Learning Applications and Challenges to Protect Privacy in the Internet of Things

Chapter 7 IoT-Enabled Heart Disease Prediction Using Machine Learning

Chapter 8 Internet of Everything, the Future of Globalization: A Comprehensive Study

Chapter 9 A Review of Human–Robot Interaction for Automated Guided Vehicles Using Robot Operating Systems

Chapter 10 Analysis of Cascading Behavior in Social Networks and IoT

Chapter 11 Performance Evaluation of Machine Learning Classifiers for Memory Assessment Using EEG Signal

Chapter 12 Robotic Operating System and Human–Robot Interaction for Automated Guided Vehicles (AGVs): An Application of Internet of Things in Industries

Chapter 13 A Review on IoT Architectures, Protocols, Security, and Applications

Chapter 14 Performance Analysis of Distributed Mobility Protocol for Multi-Hop IoT Networks

Chapter 15 Comparative Analysis of Emotional State Classification Using Different Machine Learning Techniques

Chapter 16 A Survey on Antennas for IIoT Application

Index

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