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

Author:   Surjeet Dalal (Amity University Gurugram, Haryana, India) ,  Neeraj Dahiya (SRM University, Delhi-NCR, Sonipat, Haryana, India) ,  Vivek Jaglan (Amity University Madhay Pradesh, Gwalior, India) ,  Deepika Koundal (University of Petroleum & Energy Studies, India)
Publisher:   John Wiley & Sons Inc
ISBN:  

9781119904878


Pages:   640
Publication Date:   17 September 2024
Format:   Hardback
Availability:   Out of stock   Availability explained
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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.

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Author:   Surjeet Dalal (Amity University Gurugram, Haryana, India) ,  Neeraj Dahiya (SRM University, Delhi-NCR, Sonipat, Haryana, India) ,  Vivek Jaglan (Amity University Madhay Pradesh, Gwalior, India) ,  Deepika Koundal (University of Petroleum & Energy Studies, India)
Publisher:   John Wiley & Sons Inc
Imprint:   Wiley-Scrivener
Weight:   0.666kg
ISBN:  

9781119904878


ISBN 10:   1119904870
Pages:   640
Publication Date:   17 September 2024
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

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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Author Information

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.

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