The text comprehensively discusses the essentials of the Internet of Things (IoT), machine learning algorithms, industrial and medical IoT, robotics, data analytics tools, and technologies for smart cities. It further covers fundamental concepts, advanced tools, and techniques, along with the concept of energy-efficient systems. It also highlights software and hardware interfacing into the IoT platforms and systems for better understanding. It will serve as an ideal reference text for senior undergraduate, graduate students, and academic researchers in the fields of electrical engineering, electronics and communication engineering, and computer engineering.

Features:

Covers cognitive Internet of Things and emerging network, IoT in robotics, smart cities, and health care
Discusses major issues in the field of the IoTsuch as scalable and secure issues, energy-efficient, and actuator devices
Highlights the importance of industrial and medical IoT
Illustrates applications of the IoT in robotics, smart grid, and smart cities
Presents real-time examples for better understanding

The text comprehensively discusses design principles, modernization techniques, advanced developments in artificial intelligence.This will be helpful for senior undergraduates, graduate students, and academic researchers in diverse
engineering fields including electrical, electronics and communication, and computer science.

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Yes, you can access Artificial Intelligence for Internet of Things by N. Thillaiarasu, Suman Lata Tripathi, V. Dhinakaran, N. Thillaiarasu,Suman Lata Tripathi,V. Dhinakaran in PDF and/or ePUB format, as well as other popular books in Ciencia de la computación & Ciencias computacionales general. We have over one million books available in our catalogue for you to explore.

Information

Publisher

Year

Print ISBN

eBook ISBN

Edition

Topic

Ciencia de la computación

Subtopic

Ciencias computacionales general

Cover
Half-Title Page
Series Page
Title Page
Copyright Page
Table of Contents
Preface
Editors
List of Contributors
Chapter 1 Cyber security control systems for operational technology
Chapter 2 Cyber security ecosystem and essentials for modern technology world
Chapter 3 Smart manufacturing in Industry 4.0 using computational intelligence
Chapter 4 Heterogeneous data management in IoT-based health care systems
Chapter 5 Comparative study on SMS spam message detection with different machine learning methods for safety communication
Chapter 6 An optimal more than one stage (MTOS) authentication model to ensure security in cloud computing
Chapter 7 Robotic harvesters for strawberry and apple
Chapter 8 Scalability and security requirements for the Internet of Things architecture
Chapter 9 Applying fuzzy logics to detect reliable sensors on IoT
Chapter 10 Data analytics techniques and tools in smart city applications
Chapter 11 Machine learning algorithms for IoT applications
Chapter 12 Application of IoT in smart cities
Chapter 13 Novel vocal biomarker-based biosignal acquisition, analysis and diagnosis system
Chapter 14 Leveraging health care industry through medical IoT: Its implementation and case studies within India
Chapter 15 Energy-efficient architectures for IoT applications
Chapter 16 Exploring robotics technology for health care applications
Chapter 17 Design principles, modernization and techniques in artificial intelligence for IoT: Advanced technologies, development and challenges
Index

About this book

Frequently asked questions

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Table of contents