IoT and machine learning for smart applications

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Material type: Text

TextPublication details: Boca Raton Chapman & Hall Book 2025Description: xi, 198 pISBN:

9781032621081

Subject(s):

DDC classification:

610.285 SEL

Summary: This book provides an illustration of the various methods and structures that are utilized in machine learning to make use of data that is generated by IoT devices. Numerous industries utilize machine learning, specifically machine learning-as-a-service (MLaaS), to realize IoT to its full potential. On the application of machine learning to smart IoT applications, it becomes easier to observe, methodically analyze, and process a large amount of data to be used in various fields. Features: Explains the current methods and algorithms used in machine learning and IoT knowledge discovery for smart applications Covers machine- learning approaches that address the difficulties posed by IoT- generated data for smart applications Describes how various methods are used to extract higher- level information from IoT- generated data Presents the latest technologies and research findings on IoT for smart applications Focuses on how machine learning algorithms are used in various real- world smart applications and engineering problems It is a ready reference for researchers and practitioners in the field of information technology who are interested in the IoT and Machine Learning fields. (https://www.routledge.com/IoT-and-Machine-Learning-for-Smart-Applications/Selvi-Kumar-Prasad-Hajare-Rishi/p/book/9781032621081)

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Item type	Current library	Collection	Call number	Copy number	Status	Date due	Barcode
Book	Indian Institute of Management LRC General Stacks	Public Policy & General Management	610.285 SEL (Browse shelf(Opens below))	1	Available		009250

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Table of contents:
1. Recent Advances in Machine Learning Strategies and Its Applications

S. Saranyadevi, Dr. Lekshmi Gangadhar

2. Understanding the Concept of IoT

C. Emilin Shyni , Megha Menon K., Anesh D Sundar

3. Unlocking the Power of IoT: An In-Depth Exploration

Prakash Shanmurthy, Damodharan D., Anandhan Karunanithi, Pajany M., J. John Bennet

4. Machine Learning in Internet of Things

Sujni Paul, Grasha Jacob

5. Role of Machine Learning in Real Life Environment

Balasaraswathi V R, Nathezhtha T, Vaissnavie V, Rajashree

6. Efficient Blockchain Based Edge Computing System Using Transfer Learning Model

P. Sivakumar, S. Nagendra Prabhu, S. K. Somasundaram, J. Uma Maheswari, Murali Murugan

7. Introducing a Compact and High-Speed Machine Learning Accelerator for IoT Enabled Health Monitoring Systems

Kavitha V. P., Magesh V., Theivanathan G., S. S. Saravana Kumar

8. Realization of Smart City Based on IoT and AI

Pavithra N., Sapna R., Preethi, Manasa C. M., Raghavendra M. Devadas

9. Sentiment Analysis of Airline Tweets Using Machine Learning Algorithms and Regular Expression

S.Nagendra Prabhu, A.P. Rohith, Shubhankar Bhope, P.Siva Kumar

10. Smart Workspace Automation: Harnessing IoT and AI for Sustainable Urban Development and Improved Quality of Life

Sapna R., Preethi, Pavithra N., Manasa C. M., Raghavendra M. Devadas

11. Application of Digital Image Watermarking in the Internet of Things and Machine Learning

K. Prabha , I. Shatheesh Sam

[https://www.routledge.com/IoT-and-Machine-Learning-for-Smart-Applications/Selvi-Kumar-Prasad-Hajare-Rishi/p/book/9781032621081]

This book provides an illustration of the various methods and structures that are utilized in machine learning to make use of data that is generated by IoT devices. Numerous industries utilize machine learning, specifically machine learning-as-a-service (MLaaS), to realize IoT to its full potential. On the application of machine learning to smart IoT applications, it becomes easier to observe, methodically analyze, and process a large amount of data to be used in various fields.

Features:

Explains the current methods and algorithms used in machine learning and IoT knowledge discovery for smart applications
Covers machine- learning approaches that address the difficulties posed by IoT- generated data for smart applications
Describes how various methods are used to extract higher- level information from IoT- generated data
Presents the latest technologies and research findings on IoT for smart applications
Focuses on how machine learning algorithms are used in various real- world smart applications and engineering problems
It is a ready reference for researchers and practitioners in the field of information technology who are interested in the IoT and Machine Learning fields.

(https://www.routledge.com/IoT-and-Machine-Learning-for-Smart-Applications/Selvi-Kumar-Prasad-Hajare-Rishi/p/book/9781032621081)

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