Machine Learning Paradigm for Internet of Things Applications

Author:   Shalli Rani ,  R. Maheswar ,  G. R. Kanagachidambaresan ,  Sachin Ahuja
Publisher:   John Wiley & Sons Inc
ISBN:  

9781119760474


Pages:   304
Publication Date:   04 March 2022
Format:   Hardback
Availability:   Out of stock   Availability explained
The supplier is temporarily out of stock of this item. It will be ordered for you on backorder and shipped when it becomes available.

Our Price $349.95 Quantity:  
Add to Cart

Share |

Machine Learning Paradigm for Internet of Things Applications


Overview

MACHINE LEARNING PARADIGM FOR INTERNET OF THINGS APPLICATIONS As companies globally realize the revolutionary potential of the IoT, they have started finding a number of obstacles they need to address to leverage it efficiently. Many businesses and industries use machine learning to exploit the IoT’s potential and this book brings clarity to the issue. Machine learning (ML) is the key tool for fast processing and decision-making applied to smart city applications and next-generation IoT devices, which require ML to satisfy their working objective. Machine learning has become a common subject to all people like engineers, doctors, pharmacy companies, and business people. The book addresses the problem and new algorithms, their accuracy, and their fitness ratio for existing real-time problems. Machine Learning Paradigm for Internet of Thing Applications provides the state-of-the-art applications of machine learning in an IoT environment. The most common use cases for machine learning and IoT data are predictive maintenance, followed by analyzing CCTV surveillance, smart home applications, smart-healthcare, in-store ‘contextualized marketing’, and intelligent transportation systems. Readers will gain an insight into the integration of machine learning with IoT in these various application domains.

Full Product Details

Author:   Shalli Rani ,  R. Maheswar ,  G. R. Kanagachidambaresan ,  Sachin Ahuja
Publisher:   John Wiley & Sons Inc
Imprint:   Wiley-Scrivener
Dimensions:   Width: 1.00cm , Height: 1.00cm , Length: 1.00cm
Weight:   0.454kg
ISBN:  

9781119760474


ISBN 10:   111976047
Pages:   304
Publication Date:   04 March 2022
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Out of stock   Availability explained
The supplier is temporarily out of stock of this item. It will be ordered for you on backorder and shipped when it becomes available.

Table of Contents

Reviews

Author Information

Audience Scholars and scientists working in artificial intelligence and electronic engineering, industry engineers, software and computer hardware specialists. Shalli Rani, PhD is an associate professor in the Department of CSE, Chitkara University, Punjab, India. R. Maheswar, PhD is the Dean and associate professor, School of EEE, VIT Bhopal University, Madya Pradesh, India. G. R. Kanagachidambaresan, PhD associate professor, Department of CSE, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Tamil Nadu, India. Sachin Ahuja, PhD is a professor in the Department of CSE, Chitkara University, Punjab, India. Deepali Gupta, PhD is a professor, Department of CSE, Chitkara University, Punjab, India.

Tab Content 6

Author Website:  

Countries Available

All regions
Latest Reading Guide

April RG 26_2

 

Shopping Cart
Your cart is empty
Shopping cart
Mailing List