Reshaping Intelligent Business and Industry: Convergence of AI and IoT at the Cutting Edge
The convergence of Artif icial Intelligence (AI) and Internet of Things (IoT) is reshaping the way industries, businesses, and economies function; the 34 chapters in this collection show how the full potential of these technologies is being enabled to create intelligent machines that simulate smart behavior and support decision-making with little or no human interference, thereby providing startling organizational efficiencies.

Readers will discover that in Reshaping Intelligent Business and Industry:

  • The book unpacks the two superpowers of innovation, AI and IoT, and explains how they connect to better communicate and exchange information about online activities;
  • How the center and the network's edge generate predictive analytics or anomaly alerts;
  • The meaning of AI at the edge and IoT networks.
  • How bandwidth is reduced and privacy and security are enhanced;
  • How AI applications increase operating efficiency, spawn new products and services, and enhance risk management;
  • How AI and IoT create 'intelligent' devices and how new AI technology enables IoT to reach its full potential;
  • Analyzes AIOT platforms and the handling of personal information for shared frameworks that remain sensitive to customers’ privacy while effectively utilizing data.

Audience
This book will appeal to all business and organization leaders, entrepreneurs, policymakers, and economists, as well as scientists, engineers, and students working in artificial intelligence, software engineering, and information technology.

1141424888
Reshaping Intelligent Business and Industry: Convergence of AI and IoT at the Cutting Edge
The convergence of Artif icial Intelligence (AI) and Internet of Things (IoT) is reshaping the way industries, businesses, and economies function; the 34 chapters in this collection show how the full potential of these technologies is being enabled to create intelligent machines that simulate smart behavior and support decision-making with little or no human interference, thereby providing startling organizational efficiencies.

Readers will discover that in Reshaping Intelligent Business and Industry:

  • The book unpacks the two superpowers of innovation, AI and IoT, and explains how they connect to better communicate and exchange information about online activities;
  • How the center and the network's edge generate predictive analytics or anomaly alerts;
  • The meaning of AI at the edge and IoT networks.
  • How bandwidth is reduced and privacy and security are enhanced;
  • How AI applications increase operating efficiency, spawn new products and services, and enhance risk management;
  • How AI and IoT create 'intelligent' devices and how new AI technology enables IoT to reach its full potential;
  • Analyzes AIOT platforms and the handling of personal information for shared frameworks that remain sensitive to customers’ privacy while effectively utilizing data.

Audience
This book will appeal to all business and organization leaders, entrepreneurs, policymakers, and economists, as well as scientists, engineers, and students working in artificial intelligence, software engineering, and information technology.

199.0 In Stock
Reshaping Intelligent Business and Industry: Convergence of AI and IoT at the Cutting Edge

Reshaping Intelligent Business and Industry: Convergence of AI and IoT at the Cutting Edge

Reshaping Intelligent Business and Industry: Convergence of AI and IoT at the Cutting Edge

Reshaping Intelligent Business and Industry: Convergence of AI and IoT at the Cutting Edge

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Overview

The convergence of Artif icial Intelligence (AI) and Internet of Things (IoT) is reshaping the way industries, businesses, and economies function; the 34 chapters in this collection show how the full potential of these technologies is being enabled to create intelligent machines that simulate smart behavior and support decision-making with little or no human interference, thereby providing startling organizational efficiencies.

Readers will discover that in Reshaping Intelligent Business and Industry:

  • The book unpacks the two superpowers of innovation, AI and IoT, and explains how they connect to better communicate and exchange information about online activities;
  • How the center and the network's edge generate predictive analytics or anomaly alerts;
  • The meaning of AI at the edge and IoT networks.
  • How bandwidth is reduced and privacy and security are enhanced;
  • How AI applications increase operating efficiency, spawn new products and services, and enhance risk management;
  • How AI and IoT create 'intelligent' devices and how new AI technology enables IoT to reach its full potential;
  • Analyzes AIOT platforms and the handling of personal information for shared frameworks that remain sensitive to customers’ privacy while effectively utilizing data.

Audience
This book will appeal to all business and organization leaders, entrepreneurs, policymakers, and economists, as well as scientists, engineers, and students working in artificial intelligence, software engineering, and information technology.


Product Details

ISBN-13: 9781119905189
Publisher: Wiley
Publication date: 09/06/2024
Sold by: JOHN WILEY & SONS
Format: eBook
Pages: 640
File size: 38 MB
Note: This product may take a few minutes to download.

About the Author

Surjeet Dalal, PhD, is an associate professor in the Depar tment of Computer Science & Engineering at SR M Universit y, Har  yana, India. His cur rent research areas are ar  tif  icial intelligence, cloud computing, and IoT. He has published t wo cloud computing books and published 20+ papers in inter  national jour  nals.

Neeraj Dahiya, PhD, is an assistant professor in the Depar tment of Computer Science & Engineering, SR M University, Har yana, India. His research areas include artificial intelligence, machine learning, speech processing, etc. Along with publishing research papers, Dahiya has four patents in artif icial intelligence and machine lear ning.

Vivek Jaglan, PhD, is a professor at the DPG Institute of Technology and Management, Haryana, India. His research areas include artificial intelligence, neural networks & fuzzy logic, and IoT. Jaglan has published one book on cloud computing, 30+ papers in national/international journals, and 40+ papers for national and international conferences.

Deepika Koundal, PhD, is an assistant professor at the University of Petroleum and Energy St udies,Dehradun, India. Her areas of interest are ar   tif   icial intelligence, biomedical imaging and signals, image processing, etc. She has published two books and 40+ research papers in inter  national jour  nals.

Dac-Nhuong Le, PhD, obtained his doctorate in computer science from Vietnam National University, Vietnam in 2015. He is deputy head of the Faculty of Information Technology, Haiphong University, Vietnam. His area of research includes evaluation computing and approximate algorithms, network communication, security and vulnerability, network performance analysis and simulation, cloud computing, IoT, and image processing in biomedicine. He has over 50 publications and edited/authored many computer science books with the Wiley-Scrivener imprint.

Table of Contents

List of Figures xxiii

List of Tables xxxi

Foreword xxxiii

Preface xxxv

Acknowledgments xli

Acronyms xliii

PART I: ARTIFICIAL INTELLIGENCE APPLICATIONS

1 Artificial Intelligence Overview: Architecture, Applications and Challenges 3
Geet Kiran Kaur, Nandita Malik, Sharad Chauhan, Mankiran Kaur

2 Video Analytics Using Deep Learning Models 19
Sanjeev Kumar Bhatt, S. Srinivasan

3 Optimizing Search Engine for Enhancing Computing and Communication in Real-Time Systems 49
Meeta Singh, Poonam Nandal, Deepa Bura

4 The Need for XAI: Challenges and Its Applications 69
Swati, Menu Vijarania, Vivek Jaglan, Dac-Nhuong Le

5 Why Law Firms Need to Embrace Artificial Intelligence to Transform the Indian Legal Industry 81
B. Dharneesh, S. Thenisha, S. S. Srithick, A. Abirami

6 A Comparative Study of Supervised and Unsupervised Machine Learning Algorithms for Predictive Analytics 97
V. Belsini Gladshiya, Sharmila

7 Machine Learning Approach for Predicting the Price of Used Cars 107
Swati, Meenu Vijarania, Akshat Agarwal, Dac-Nhuong Le

PART II: INTERNET OF THINGS APPLICATIONS

8 Recent Industry-Defined and Domain-Specific IoT Architectures 119
Sharad Chauhan, Ritika Arora, Geetkiran Kaur

9 IoT Devices 141
Mukesh Choubisa

10 IoT Securities: Applications, Security Issues and Solutions Using Diverse Technologies 157
Lovanya Bajaj, Nikhil Sharma, Prashant Giridhar Shambharkar

11 FAMoS: Smart Farm Automatic Monitoring System 179
J. Dakshana, P. Balasubramaniam, A. Abirami, S. TamilSelvan

12 IoT-Based Module to Control Electronic Devices Through Wi-Fi and Bluetooth 197
Ritu Shrivastava, Amit Shrivastava, Kapil Chaturvedi

13 An Insight into the IoT Building Blocks: Architecture, Framework, Principles, Applications and Challenges 207
Priyanka, Anoop Kumar, Keziah Nagaraj

14 Interoperability: A Conceptual Framework 223
Soni Chaurasia, Kamal Kumar

15 Securing IoT Devices Against MITM and DoS Attacks: An Analysis 237
Vicky Tyagi, Amar Saraswat, Ashwani Kumar, Shalini Gambhir

PART III: ARTIFICIAL INTELLIGENCE OF THINGS: SMART CITY AND SOCIAL APPLICATIONS

16 AIoT-Based Smart Cities 253
Shelly Garg, Namitan

17 Integrating Artificial Intelligence and IoT for Smart Cities: Applications and Challenges 267
Varsha Bhatia, Vivek Jaglan

18 A Comprehensive Review of the Convergence of Blockchain, AI and IoT for Improving Social Interactions 279
Priya Sachdeva

19 AIoT-Based Smart Bin for Real-Time Monitoring and Management of Solid Waste 295
Ritik Agarwal

20 AIoT in the Education Sector 305
Zhumaniyaz Mamatnabiyev, Meirambek Zhaparov

21 Artificial Intelligence of Things (AIoT)-Enabled Personalized Banking: Investigating Intention to Adopt 315
Ashok Singh Malhi, Raj K Kovid, Thipendra P Singh

PART IV: ARTIFICIAL INTELLIGENCE OF THINGS: APPLICATIONS IN HEALTHCARE

22 AI- and IoT-Enabled Healthcare Applications: A Review 327
N. Krishna Chaitanya, Mangesh M. Ghonge, G. Vimala Kumari, S.Leela Lakshmi

23 An Extensive Survey of AIoT in Healthcare: Applications, Challenges and Future Opportunities 343
Gunjan, Ishwari Singh Rajput, Aditya Gupta, Soni Chaurasia

24 AI- and IoT-Based Face Recognition Model for Identification of Human Diseases 359
Pushan Kumar Dutta, Susanta Mitra

25 IoT in the Medical Field 373
S. Sasikala, K. Sharmila

26 Using Deep Learning to Characterize Persistent Physiological Parameters in Patient Monitoring Systems 391
Dhyanendra Jain, Anjani Gupta, Amit Kumar Pandey, Prashant Vats

PART V: ARTIFICIAL INTELLIGENCE OF THINGS: APPLICATIONS IN AGRICULTURE AND INDUSTRIES

27 Smart Agriculture System Using Artificial Intelligence and Internet of Things 405
Meenakshi Yadav, Preety, Esha Saxena, Akhilesh Das

28 Application of AI and IoT in Agriculture 419
Rashmi Singh

29 Traffic Management System Using AIoT 439
Pallavi Choudekar, Rashmi Singh

30 Autonomous Vehicles: A Convergence Application of AI and IoT 459
Neha Gehlot, Amritpal Kuar

31 Convergence of Artificial Intelligence and Internet of Things for Software-Defined Radios 475
Shilpa Mehta, Xue Jun Li, Surjeet Dalal

32 Artificial Intelligence of Things (AIoT) for Intelligent Data Design 507
Parul Gandhi, Raj Kumar

33 A Study of Implementation of Blockchain Technology in Land Registration: A SWOT Analysis 519
Ankita Goyal, Upendra Singh

34 Smart Mask Disinfection System (SMDS) 531
N. Swetha Sridevi, N. C. Preethika, T. Subiksha

References 546

Editors 547

Index 551

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