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.

• List of Figures xxiiiList of Tables xxxiForeword xxxiiiPreface xxxvAcknowledgments xliAcronyms xliiiPart I: Artificial Intelligence Applications1 Artificial Intelligence Overview: Architecture, Applications and Challenges 3Geet Kiran Kaur, Nandita Malik, Sharad Chauhan, Mankiran Kaur1.1 Introduction 41.2 Artificial Intelligence Agents 71.3 Artificial Intelligence Algorithms 91.4 Applications of Artificial Intelligence 111.5 Conclusion 16References 162 Video Analytics Using Deep Learning Models 19Sanjeev Kumar Bhatt, S. Srinivasan2.1 Introduction 202.2 Video Analytics 272.3 Object Detection and Object Tracking 292.4 Industrial Application 442.5 Conclusion 46References 463 Optimizing Search Engine for Enhancing Computing and Communication in Real-Time Systems 49Meeta Singh, Poonam Nandal, Deepa Bura3.1 Introduction 503.2 Literature Review 533.3 Requirement Specification 543.4 Testing and Validation 573.5 Result 643.6 Conclusion and Future Work 66References 664 The Need for XAI: Challenges and Its Applications 69Swati, Menu Vijarania, Vivek Jaglan, Dac-Nhuong Le4.1 Introduction 704.2 Literature Review 714.3 The Need for Exploring XAI 724.4 Scope of Explanation 744.5 Differences in Research Methodology 754.6 Conclusion 78References 785 Why Law Firms Need to Embrace Artificial Intelligence to Transform the Indian Legal Industry 81B. Dharneesh, S. Thenisha, S. S. Srithick, A. Abirami5.1 Introduction 825.2 What Is Artificial Intelligence? 835.3 The Law and Policy Relating to AI in India 885.4 The Morality Debate: The Ethicality of AI in Law 915.5 Conclusion 92References 926 A Comparative Study of Supervised and Unsupervised Machine Learning Algorithms for Predictive Analytics 97V. Belsini Gladshiya, Sharmila6.1 Introduction 986.2 Predictive Analytics 986.3 Machine Learning 1006.4 Applications of Supervised and Unsupervised Learning 1046.5 Conclusion 104References 1057 Machine Learning Approach for Predicting the Price of Used Cars 107Swati, Meenu Vijarania, Akshat Agarwal, Dac-Nhuong Le7.1 Introduction 1087.2 Related Work 1087.3 Research Methodology 1107.4 Model Description 1137.5 Conclusion 114References 115Part II: Internet of Things Applications8 Recent Industry-Defined and Domain-Specific IoT Architectures 119Sharad Chauhan, Ritika Arora, Geetkiran Kaur8.1 Introduction 1208.2 Literature Review 1218.3 Benefits and Major Components of IoT 1238.4 IoT Implementation and Building Blocks 1258.5 IoT Architecture 1268.6 Conclusion 138References 1389 IoT Devices 141Mukesh Choubisa9.1 Introduction 1429.2 Application of IoT 1449.3 IoT Devices 1489.4 Conclusion 156References 15610 IoT Securities: Applications, Security Issues and Solutions Using Diverse Technologies 157Lovanya Bajaj, Nikhil Sharma, Prashant Giridhar Shambharkar10.1 Introduction 15810.2 Related Work 15910.3 Overview of Internet of Things (IoT) 16010.4 Security Issues Addressed Using Diverse Technologies 16410.5 Open Challenges and Future Research Directions 16810.6 Conclusion 169References 16911 FAMoS: Smart Farm Automatic Monitoring System 179J. Dakshana, P. Balasubramaniam, A. Abirami, S. TamilSelvan11.1 Introduction 18011.2 Related Work 18111.3 Methodologies Proposed 18311.4 Software Elements 18411.5 Project Cost Estimation 19311.6 Conclusion 195References 19512 IoT-Based Module to Control Electronic Devices Through Wi-Fi and Bluetooth 197Ritu Shrivastava, Amit Shrivastava, Kapil Chaturvedi12.1 Introduction 19812.2 Literature Review 19812.3 Proposed Wi-Fi Communication Module 19812.4 IR (Infrared) Remote and Arduino Nano 20312.5 Conclusion 206References 20613 An Insight into the IoT Building Blocks: Architecture, Framework, Principles, Applications and Challenges 207Priyanka, Anoop Kumar, Keziah Nagaraj13.1 Introduction 20813.2 Related Work 20813.3 Traditional and New Architecture of IoT 20913.4 Design Principles and Decision Framework of IoT 21313.5 Applications and Challenges 21613.6 Conclusion 220References 22114 Interoperability: A Conceptual Framework 223Soni Chaurasia, Kamal Kumar14.1 Introduction 22414.2 Inclusions in IoT Network 22514.3 IoT Interoperability Protocols 22614.4 Interoperability Conceptual Framework Proposed 22814.5 Conclusion 233References 23415 Securing IoT Devices Against MITM and DoS Attacks: An Analysis 237Vicky Tyagi, Amar Saraswat, Ashwani Kumar, Shalini Gambhir15.1 Introduction 23815.2 Architecture of IoT 23815.3 Attacks on IoT 24015.4 Some Possible Solutions to Avoid/Prevent Cyberattacks 24615.5 Conclusions 247References 247Part III: Artificial Intelligence of Things: Smart City and Social Applications16 AIoT-Based Smart Cities 253Shelly Garg, Namitan16.1 What Are Smart Cities? 25416.2 Internet of Things 25516.3 Introduction to Artificial Intelligence 25816.4 AIoT in Smart Cities 26316.5 Conclusion 265References 26517 Integrating Artificial Intelligence and IoT for Smart Cities: Applications and Challenges 267Varsha Bhatia, Vivek Jaglan17.1 Introduction 26817.2 Overview of Smart Cities 27017.3 AIoT in Smart Cities 27317.4 Open Issues and Challenges 27617.5 Conclusion 276References 27618 A Comprehensive Review of the Convergence of Blockchain, AI and IoT for Improving Social Interactions 279Priya Sachdeva18.1 Introduction 28018.2 Research Methodology 28218.3 The Risks and Challenges of Convergence in the Making of Smart Cities 28718.4 Results and Findings 28918.5 Future Research Directions for the Convergence of Blockchain, AI and IoT 29018.6 Conclusion 291References 29219 AIoT-Based Smart Bin for Real-Time Monitoring and Management of Solid Waste 295Ritik Agarwal19.1 Introduction 29619.2 Literature Review 29719.3 Proposed Methodology 29919.4 Conclusion 30219.5 Challenges and Future Work 302References 30220 AIoT in the Education Sector 305Zhumaniyaz Mamatnabiyev, Meirambek Zhaparov20.1 Introduction 30620.2 AIoT Applications in the Education Sector 30720.3 IoT Development Stages 30920.4 Conclusion 313References 31321 Artificial Intelligence of Things (AIoT)-Enabled Personalized Banking: Investigating Intention to Adopt 315Ashok Singh Malhi, Raj K Kovid, Thipendra P Singh21.1 Introduction 31621.2 Literature Review and Hypotheses 31721.3 Methodology 31921.4 Results and Discussion 32021.5 Conclusion 323References 323Part IV: Artificial Intelligence of Things: Applications in Healthcare22 AI- and IoT-Enabled Healthcare Applications: A Review 327N. Krishna Chaitanya, Mangesh M. Ghonge, G. Vimala Kumari, S.Leela Lakshmi22.1 Introduction 32822.2 Literature Review 32922.3 IoT in Healthcare 32922.4 Role of Artificial Intelligence in Healthcare 33622.5 Challenges of IoT in Healthcare 34022.6 Conclusion 340References 34123 An Extensive Survey of AIoT in Healthcare: Applications, Challenges and Future Opportunities 343Gunjan, Ishwari Singh Rajput, Aditya Gupta, Soni Chaurasia23.1 Introduction 34423.2 Background 34423.3 AIoT in Healthcare 35123.4 AIoT Challenges and Opportunities 35223.5 Conclusion 355References 35624 AI- and IoT-Based Face Recognition Model for Identification of Human Diseases 359Pushan Kumar Dutta, Susanta Mitra24.1 Introduction 36024.2 Problem Identification 36224.3 Proposed Methodology 36424.4 Findings and Discussion 36824.5 Conclusion 370References 37025 IoT in the Medical Field 373S. Sasikala, K. Sharmila25.1 Introduction 37425.2 Security Matters for IoT in Healthcare 37925.3 Cholesterol Control Levels 38025.4 IoR Device for Cholesterol Test: CURO L 7 38425.5 Challenges, Limitations, and Future Scope 38525.6 Conclusion 386References 38726 Using Deep Learning to Characterize Persistent Physiological Parameters in Patient Monitoring Systems 391Dhyanendra Jain, Anjani Gupta, Amit Kumar Pandey, Prashant Vats26.1 Introduction 39226.2 Using Deep Learning and AI for Surveillance 39326.3 Other Ways that Do Not Rely on Machine Learning Knowledge 39326.4 The Present Position of Learning Algorithms and Patient Monitoring 39426.5 Possible Uses for Machine Learning Surveillance 39726.6 Concerns and Future Objectives 39926.7 Conclusions 400References 400Part V: Artificial Intelligence of Things: Applications in Agriculture and Industries27 Smart Agriculture System Using Artificial Intelligence and Internet of Things 405Meenakshi Yadav, Preety, Esha Saxena, Akhilesh Das27.1 Introduction 40627.2 Artificial Intelligence and IoT in Agriculture 40727.3 Components of AI and IoT for Agriculture 41027.4 Application of IoT and AI in Agricultural Automation 41227.5 Challenges and Opportunities 41427.6 Conclusion and Future Trends 416References 41728 Application of AI and IoT in Agriculture 419Rashmi Singh28.1 Agricultural Process 42028.2 The Use of Artificial Intelligence in Agricultural Applications 42128.3 Predictive Analytics and Precision Agriculture 42228.4 Agricultural Robotics (Agrobots) 42628.5 AI-Enabled System for Pest Control and Disease Diagnosis 43328.6 Adopting AI: A Challenge for Farmers 43528.7 Conclusion 436References 43629 Traffic Management System Using AIoT 439Pallavi Choudekar, Rashmi Singh29.1 Introduction 44029.2 Smart Road Traffic Management System (SRTMS) 44429.3 Smart Traffic Information System (TIS) 44529.4 Smart Parking Management System 44929.5 Smart Pavement Management System 45229.6 Conclusion 454References 45530 Autonomous Vehicles: A Convergence Application of AI and IoT 459Neha Gehlot, Amritpal Kuar30.1 Introduction 46030.2 Technical Challenges in Self-Driving Cars 46530.3 Other Very Critical Areas 46730.4 Blind Spots in Autonomous Vehicles 46930.5 Potential Cyberattacks on Automated Vehicles 47130.6 Conclusion 472References 47331 Convergence of Artificial Intelligence and Internet of Things for Software-Defined Radios 475Shilpa Mehta, Xue Jun Li, Surjeet Dalal31.1 Introduction 47631.2 Review of SDR Receiver Architectures 47731.3 Integration of SDR and IoT 48231.4 Artificial Intelligence 48431.5 Proposed AI-Based Receiver Architecture 49231.6 AI Optimization 49831.7 Results and Discussion 49831.8 Conclusion 501References 50132 Artificial Intelligence of Things (AIoT) for Intelligent Data Design 507Parul Gandhi, Raj Kumar32.1 Introduction 50832.2 AI, IoT, and Big Data Analytics 51132.3 AIoT-Based Data Analytics and Decision-Making 51232.4 Challenges 51432.5 Role of AIoT in the Context of COVID- 19 51532.6 Future Direction and Conclusion 516References 51633 A Study of Implementation of Blockchain Technology in Land Registration: A SWOT Analysis 519Ankita Goyal, Upendra Singh33.1 Introduction 52033.2 Literature Review 52133.3 Research Methodology 52333.4 Discussion, Analysis, Limitation and Future Work 52333.5 Conclusion 527References 52834 Smart Mask Disinfection System (SMDS) 531N. Swetha Sridevi, N. C. Preethika, T. Subiksha34.1 Introduction 53234.2 Related Work 53334.3 Smart Mask Disinfection System 53434.4 Results and Discussion 54434.5 Conclusion 545References 546Editors 547Index 551

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.

• List of Figures xxiiiList of Tables xxxiForeword xxxiiiPreface xxxvAcknowledgments xliAcronyms xliiiPart I: Artificial Intelligence Applications1 Artificial Intelligence Overview: Architecture, Applications and Challenges 3Geet Kiran Kaur, Nandita Malik, Sharad Chauhan, Mankiran Kaur1.1 Introduction 41.2 Artificial Intelligence Agents 71.3 Artificial Intelligence Algorithms 91.4 Applications of Artificial Intelligence 111.5 Conclusion 16References 162 Video Analytics Using Deep Learning Models 19Sanjeev Kumar Bhatt, S. Srinivasan2.1 Introduction 202.2 Video Analytics 272.3 Object Detection and Object Tracking 292.4 Industrial Application 442.5 Conclusion 46References 463 Optimizing Search Engine for Enhancing Computing and Communication in Real-Time Systems 49Meeta Singh, Poonam Nandal, Deepa Bura3.1 Introduction 503.2 Literature Review 533.3 Requirement Specification 543.4 Testing and Validation 573.5 Result 643.6 Conclusion and Future Work 66References 664 The Need for XAI: Challenges and Its Applications 69Swati, Menu Vijarania, Vivek Jaglan, Dac-Nhuong Le4.1 Introduction 704.2 Literature Review 714.3 The Need for Exploring XAI 724.4 Scope of Explanation 744.5 Differences in Research Methodology 754.6 Conclusion 78References 785 Why Law Firms Need to Embrace Artificial Intelligence to Transform the Indian Legal Industry 81B. Dharneesh, S. Thenisha, S. S. Srithick, A. Abirami5.1 Introduction 825.2 What Is Artificial Intelligence? 835.3 The Law and Policy Relating to AI in India 885.4 The Morality Debate: The Ethicality of AI in Law 915.5 Conclusion 92References 926 A Comparative Study of Supervised and Unsupervised Machine Learning Algorithms for Predictive Analytics 97V. Belsini Gladshiya, Sharmila6.1 Introduction 986.2 Predictive Analytics 986.3 Machine Learning 1006.4 Applications of Supervised and Unsupervised Learning 1046.5 Conclusion 104References 1057 Machine Learning Approach for Predicting the Price of Used Cars 107Swati, Meenu Vijarania, Akshat Agarwal, Dac-Nhuong Le7.1 Introduction 1087.2 Related Work 1087.3 Research Methodology 1107.4 Model Description 1137.5 Conclusion 114References 115Part II: Internet of Things Applications8 Recent Industry-Defined and Domain-Specific IoT Architectures 119Sharad Chauhan, Ritika Arora, Geetkiran Kaur8.1 Introduction 1208.2 Literature Review 1218.3 Benefits and Major Components of IoT 1238.4 IoT Implementation and Building Blocks 1258.5 IoT Architecture 1268.6 Conclusion 138References 1389 IoT Devices 141Mukesh Choubisa9.1 Introduction 1429.2 Application of IoT 1449.3 IoT Devices 1489.4 Conclusion 156References 15610 IoT Securities: Applications, Security Issues and Solutions Using Diverse Technologies 157Lovanya Bajaj, Nikhil Sharma, Prashant Giridhar Shambharkar10.1 Introduction 15810.2 Related Work 15910.3 Overview of Internet of Things (IoT) 16010.4 Security Issues Addressed Using Diverse Technologies 16410.5 Open Challenges and Future Research Directions 16810.6 Conclusion 169References 16911 FAMoS: Smart Farm Automatic Monitoring System 179J. Dakshana, P. Balasubramaniam, A. Abirami, S. TamilSelvan11.1 Introduction 18011.2 Related Work 18111.3 Methodologies Proposed 18311.4 Software Elements 18411.5 Project Cost Estimation 19311.6 Conclusion 195References 19512 IoT-Based Module to Control Electronic Devices Through Wi-Fi and Bluetooth 197Ritu Shrivastava, Amit Shrivastava, Kapil Chaturvedi12.1 Introduction 19812.2 Literature Review 19812.3 Proposed Wi-Fi Communication Module 19812.4 IR (Infrared) Remote and Arduino Nano 20312.5 Conclusion 206References 20613 An Insight into the IoT Building Blocks: Architecture, Framework, Principles, Applications and Challenges 207Priyanka, Anoop Kumar, Keziah Nagaraj13.1 Introduction 20813.2 Related Work 20813.3 Traditional and New Architecture of IoT 20913.4 Design Principles and Decision Framework of IoT 21313.5 Applications and Challenges 21613.6 Conclusion 220References 22114 Interoperability: A Conceptual Framework 223Soni Chaurasia, Kamal Kumar14.1 Introduction 22414.2 Inclusions in IoT Network 22514.3 IoT Interoperability Protocols 22614.4 Interoperability Conceptual Framework Proposed 22814.5 Conclusion 233References 23415 Securing IoT Devices Against MITM and DoS Attacks: An Analysis 237Vicky Tyagi, Amar Saraswat, Ashwani Kumar, Shalini Gambhir15.1 Introduction 23815.2 Architecture of IoT 23815.3 Attacks on IoT 24015.4 Some Possible Solutions to Avoid/Prevent Cyberattacks 24615.5 Conclusions 247References 247Part III: Artificial Intelligence of Things: Smart City and Social Applications16 AIoT-Based Smart Cities 253Shelly Garg, Namitan16.1 What Are Smart Cities? 25416.2 Internet of Things 25516.3 Introduction to Artificial Intelligence 25816.4 AIoT in Smart Cities 26316.5 Conclusion 265References 26517 Integrating Artificial Intelligence and IoT for Smart Cities: Applications and Challenges 267Varsha Bhatia, Vivek Jaglan17.1 Introduction 26817.2 Overview of Smart Cities 27017.3 AIoT in Smart Cities 27317.4 Open Issues and Challenges 27617.5 Conclusion 276References 27618 A Comprehensive Review of the Convergence of Blockchain, AI and IoT for Improving Social Interactions 279Priya Sachdeva18.1 Introduction 28018.2 Research Methodology 28218.3 The Risks and Challenges of Convergence in the Making of Smart Cities 28718.4 Results and Findings 28918.5 Future Research Directions for the Convergence of Blockchain, AI and IoT 29018.6 Conclusion 291References 29219 AIoT-Based Smart Bin for Real-Time Monitoring and Management of Solid Waste 295Ritik Agarwal19.1 Introduction 29619.2 Literature Review 29719.3 Proposed Methodology 29919.4 Conclusion 30219.5 Challenges and Future Work 302References 30220 AIoT in the Education Sector 305Zhumaniyaz Mamatnabiyev, Meirambek Zhaparov20.1 Introduction 30620.2 AIoT Applications in the Education Sector 30720.3 IoT Development Stages 30920.4 Conclusion 313References 31321 Artificial Intelligence of Things (AIoT)-Enabled Personalized Banking: Investigating Intention to Adopt 315Ashok Singh Malhi, Raj K Kovid, Thipendra P Singh21.1 Introduction 31621.2 Literature Review and Hypotheses 31721.3 Methodology 31921.4 Results and Discussion 32021.5 Conclusion 323References 323Part IV: Artificial Intelligence of Things: Applications in Healthcare22 AI- and IoT-Enabled Healthcare Applications: A Review 327N. Krishna Chaitanya, Mangesh M. Ghonge, G. Vimala Kumari, S.Leela Lakshmi22.1 Introduction 32822.2 Literature Review 32922.3 IoT in Healthcare 32922.4 Role of Artificial Intelligence in Healthcare 33622.5 Challenges of IoT in Healthcare 34022.6 Conclusion 340References 34123 An Extensive Survey of AIoT in Healthcare: Applications, Challenges and Future Opportunities 343Gunjan, Ishwari Singh Rajput, Aditya Gupta, Soni Chaurasia23.1 Introduction 34423.2 Background 34423.3 AIoT in Healthcare 35123.4 AIoT Challenges and Opportunities 35223.5 Conclusion 355References 35624 AI- and IoT-Based Face Recognition Model for Identification of Human Diseases 359Pushan Kumar Dutta, Susanta Mitra24.1 Introduction 36024.2 Problem Identification 36224.3 Proposed Methodology 36424.4 Findings and Discussion 36824.5 Conclusion 370References 37025 IoT in the Medical Field 373S. Sasikala, K. Sharmila25.1 Introduction 37425.2 Security Matters for IoT in Healthcare 37925.3 Cholesterol Control Levels 38025.4 IoR Device for Cholesterol Test: CURO L 7 38425.5 Challenges, Limitations, and Future Scope 38525.6 Conclusion 386References 38726 Using Deep Learning to Characterize Persistent Physiological Parameters in Patient Monitoring Systems 391Dhyanendra Jain, Anjani Gupta, Amit Kumar Pandey, Prashant Vats26.1 Introduction 39226.2 Using Deep Learning and AI for Surveillance 39326.3 Other Ways that Do Not Rely on Machine Learning Knowledge 39326.4 The Present Position of Learning Algorithms and Patient Monitoring 39426.5 Possible Uses for Machine Learning Surveillance 39726.6 Concerns and Future Objectives 39926.7 Conclusions 400References 400Part V: Artificial Intelligence of Things: Applications in Agriculture and Industries27 Smart Agriculture System Using Artificial Intelligence and Internet of Things 405Meenakshi Yadav, Preety, Esha Saxena, Akhilesh Das27.1 Introduction 40627.2 Artificial Intelligence and IoT in Agriculture 40727.3 Components of AI and IoT for Agriculture 41027.4 Application of IoT and AI in Agricultural Automation 41227.5 Challenges and Opportunities 41427.6 Conclusion and Future Trends 416References 41728 Application of AI and IoT in Agriculture 419Rashmi Singh28.1 Agricultural Process 42028.2 The Use of Artificial Intelligence in Agricultural Applications 42128.3 Predictive Analytics and Precision Agriculture 42228.4 Agricultural Robotics (Agrobots) 42628.5 AI-Enabled System for Pest Control and Disease Diagnosis 43328.6 Adopting AI: A Challenge for Farmers 43528.7 Conclusion 436References 43629 Traffic Management System Using AIoT 439Pallavi Choudekar, Rashmi Singh29.1 Introduction 44029.2 Smart Road Traffic Management System (SRTMS) 44429.3 Smart Traffic Information System (TIS) 44529.4 Smart Parking Management System 44929.5 Smart Pavement Management System 45229.6 Conclusion 454References 45530 Autonomous Vehicles: A Convergence Application of AI and IoT 459Neha Gehlot, Amritpal Kuar30.1 Introduction 46030.2 Technical Challenges in Self-Driving Cars 46530.3 Other Very Critical Areas 46730.4 Blind Spots in Autonomous Vehicles 46930.5 Potential Cyberattacks on Automated Vehicles 47130.6 Conclusion 472References 47331 Convergence of Artificial Intelligence and Internet of Things for Software-Defined Radios 475Shilpa Mehta, Xue Jun Li, Surjeet Dalal31.1 Introduction 47631.2 Review of SDR Receiver Architectures 47731.3 Integration of SDR and IoT 48231.4 Artificial Intelligence 48431.5 Proposed AI-Based Receiver Architecture 49231.6 AI Optimization 49831.7 Results and Discussion 49831.8 Conclusion 501References 50132 Artificial Intelligence of Things (AIoT) for Intelligent Data Design 507Parul Gandhi, Raj Kumar32.1 Introduction 50832.2 AI, IoT, and Big Data Analytics 51132.3 AIoT-Based Data Analytics and Decision-Making 51232.4 Challenges 51432.5 Role of AIoT in the Context of COVID- 19 51532.6 Future Direction and Conclusion 516References 51633 A Study of Implementation of Blockchain Technology in Land Registration: A SWOT Analysis 519Ankita Goyal, Upendra Singh33.1 Introduction 52033.2 Literature Review 52133.3 Research Methodology 52333.4 Discussion, Analysis, Limitation and Future Work 52333.5 Conclusion 527References 52834 Smart Mask Disinfection System (SMDS) 531N. Swetha Sridevi, N. C. Preethika, T. Subiksha34.1 Introduction 53234.2 Related Work 53334.3 Smart Mask Disinfection System 53434.4 Results and Discussion 54434.5 Conclusion 545References 546Editors 547Index 551

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.

• List of Figures xxiiiList of Tables xxxiForeword xxxiiiPreface xxxvAcknowledgments xliAcronyms xliiiPart I: Artificial Intelligence Applications1 Artificial Intelligence Overview: Architecture, Applications and Challenges 3Geet Kiran Kaur, Nandita Malik, Sharad Chauhan, Mankiran Kaur1.1 Introduction 41.2 Artificial Intelligence Agents 71.3 Artificial Intelligence Algorithms 91.4 Applications of Artificial Intelligence 111.5 Conclusion 16References 162 Video Analytics Using Deep Learning Models 19Sanjeev Kumar Bhatt, S. Srinivasan2.1 Introduction 202.2 Video Analytics 272.3 Object Detection and Object Tracking 292.4 Industrial Application 442.5 Conclusion 46References 463 Optimizing Search Engine for Enhancing Computing and Communication in Real-Time Systems 49Meeta Singh, Poonam Nandal, Deepa Bura3.1 Introduction 503.2 Literature Review 533.3 Requirement Specification 543.4 Testing and Validation 573.5 Result 643.6 Conclusion and Future Work 66References 664 The Need for XAI: Challenges and Its Applications 69Swati, Menu Vijarania, Vivek Jaglan, Dac-Nhuong Le4.1 Introduction 704.2 Literature Review 714.3 The Need for Exploring XAI 724.4 Scope of Explanation 744.5 Differences in Research Methodology 754.6 Conclusion 78References 785 Why Law Firms Need to Embrace Artificial Intelligence to Transform the Indian Legal Industry 81B. Dharneesh, S. Thenisha, S. S. Srithick, A. Abirami5.1 Introduction 825.2 What Is Artificial Intelligence? 835.3 The Law and Policy Relating to AI in India 885.4 The Morality Debate: The Ethicality of AI in Law 915.5 Conclusion 92References 926 A Comparative Study of Supervised and Unsupervised Machine Learning Algorithms for Predictive Analytics 97V. Belsini Gladshiya, Sharmila6.1 Introduction 986.2 Predictive Analytics 986.3 Machine Learning 1006.4 Applications of Supervised and Unsupervised Learning 1046.5 Conclusion 104References 1057 Machine Learning Approach for Predicting the Price of Used Cars 107Swati, Meenu Vijarania, Akshat Agarwal, Dac-Nhuong Le7.1 Introduction 1087.2 Related Work 1087.3 Research Methodology 1107.4 Model Description 1137.5 Conclusion 114References 115Part II: Internet of Things Applications8 Recent Industry-Defined and Domain-Specific IoT Architectures 119Sharad Chauhan, Ritika Arora, Geetkiran Kaur8.1 Introduction 1208.2 Literature Review 1218.3 Benefits and Major Components of IoT 1238.4 IoT Implementation and Building Blocks 1258.5 IoT Architecture 1268.6 Conclusion 138References 1389 IoT Devices 141Mukesh Choubisa9.1 Introduction 1429.2 Application of IoT 1449.3 IoT Devices 1489.4 Conclusion 156References 15610 IoT Securities: Applications, Security Issues and Solutions Using Diverse Technologies 157Lovanya Bajaj, Nikhil Sharma, Prashant Giridhar Shambharkar10.1 Introduction 15810.2 Related Work 15910.3 Overview of Internet of Things (IoT) 16010.4 Security Issues Addressed Using Diverse Technologies 16410.5 Open Challenges and Future Research Directions 16810.6 Conclusion 169References 16911 FAMoS: Smart Farm Automatic Monitoring System 179J. Dakshana, P. Balasubramaniam, A. Abirami, S. TamilSelvan11.1 Introduction 18011.2 Related Work 18111.3 Methodologies Proposed 18311.4 Software Elements 18411.5 Project Cost Estimation 19311.6 Conclusion 195References 19512 IoT-Based Module to Control Electronic Devices Through Wi-Fi and Bluetooth 197Ritu Shrivastava, Amit Shrivastava, Kapil Chaturvedi12.1 Introduction 19812.2 Literature Review 19812.3 Proposed Wi-Fi Communication Module 19812.4 IR (Infrared) Remote and Arduino Nano 20312.5 Conclusion 206References 20613 An Insight into the IoT Building Blocks: Architecture, Framework, Principles, Applications and Challenges 207Priyanka, Anoop Kumar, Keziah Nagaraj13.1 Introduction 20813.2 Related Work 20813.3 Traditional and New Architecture of IoT 20913.4 Design Principles and Decision Framework of IoT 21313.5 Applications and Challenges 21613.6 Conclusion 220References 22114 Interoperability: A Conceptual Framework 223Soni Chaurasia, Kamal Kumar14.1 Introduction 22414.2 Inclusions in IoT Network 22514.3 IoT Interoperability Protocols 22614.4 Interoperability Conceptual Framework Proposed 22814.5 Conclusion 233References 23415 Securing IoT Devices Against MITM and DoS Attacks: An Analysis 237Vicky Tyagi, Amar Saraswat, Ashwani Kumar, Shalini Gambhir15.1 Introduction 23815.2 Architecture of IoT 23815.3 Attacks on IoT 24015.4 Some Possible Solutions to Avoid/Prevent Cyberattacks 24615.5 Conclusions 247References 247Part III: Artificial Intelligence of Things: Smart City and Social Applications16 AIoT-Based Smart Cities 253Shelly Garg, Namitan16.1 What Are Smart Cities? 25416.2 Internet of Things 25516.3 Introduction to Artificial Intelligence 25816.4 AIoT in Smart Cities 26316.5 Conclusion 265References 26517 Integrating Artificial Intelligence and IoT for Smart Cities: Applications and Challenges 267Varsha Bhatia, Vivek Jaglan17.1 Introduction 26817.2 Overview of Smart Cities 27017.3 AIoT in Smart Cities 27317.4 Open Issues and Challenges 27617.5 Conclusion 276References 27618 A Comprehensive Review of the Convergence of Blockchain, AI and IoT for Improving Social Interactions 279Priya Sachdeva18.1 Introduction 28018.2 Research Methodology 28218.3 The Risks and Challenges of Convergence in the Making of Smart Cities 28718.4 Results and Findings 28918.5 Future Research Directions for the Convergence of Blockchain, AI and IoT 29018.6 Conclusion 291References 29219 AIoT-Based Smart Bin for Real-Time Monitoring and Management of Solid Waste 295Ritik Agarwal19.1 Introduction 29619.2 Literature Review 29719.3 Proposed Methodology 29919.4 Conclusion 30219.5 Challenges and Future Work 302References 30220 AIoT in the Education Sector 305Zhumaniyaz Mamatnabiyev, Meirambek Zhaparov20.1 Introduction 30620.2 AIoT Applications in the Education Sector 30720.3 IoT Development Stages 30920.4 Conclusion 313References 31321 Artificial Intelligence of Things (AIoT)-Enabled Personalized Banking: Investigating Intention to Adopt 315Ashok Singh Malhi, Raj K Kovid, Thipendra P Singh21.1 Introduction 31621.2 Literature Review and Hypotheses 31721.3 Methodology 31921.4 Results and Discussion 32021.5 Conclusion 323References 323Part IV: Artificial Intelligence of Things: Applications in Healthcare22 AI- and IoT-Enabled Healthcare Applications: A Review 327N. Krishna Chaitanya, Mangesh M. Ghonge, G. Vimala Kumari, S.Leela Lakshmi22.1 Introduction 32822.2 Literature Review 32922.3 IoT in Healthcare 32922.4 Role of Artificial Intelligence in Healthcare 33622.5 Challenges of IoT in Healthcare 34022.6 Conclusion 340References 34123 An Extensive Survey of AIoT in Healthcare: Applications, Challenges and Future Opportunities 343Gunjan, Ishwari Singh Rajput, Aditya Gupta, Soni Chaurasia23.1 Introduction 34423.2 Background 34423.3 AIoT in Healthcare 35123.4 AIoT Challenges and Opportunities 35223.5 Conclusion 355References 35624 AI- and IoT-Based Face Recognition Model for Identification of Human Diseases 359Pushan Kumar Dutta, Susanta Mitra24.1 Introduction 36024.2 Problem Identification 36224.3 Proposed Methodology 36424.4 Findings and Discussion 36824.5 Conclusion 370References 37025 IoT in the Medical Field 373S. Sasikala, K. Sharmila25.1 Introduction 37425.2 Security Matters for IoT in Healthcare 37925.3 Cholesterol Control Levels 38025.4 IoR Device for Cholesterol Test: CURO L 7 38425.5 Challenges, Limitations, and Future Scope 38525.6 Conclusion 386References 38726 Using Deep Learning to Characterize Persistent Physiological Parameters in Patient Monitoring Systems 391Dhyanendra Jain, Anjani Gupta, Amit Kumar Pandey, Prashant Vats26.1 Introduction 39226.2 Using Deep Learning and AI for Surveillance 39326.3 Other Ways that Do Not Rely on Machine Learning Knowledge 39326.4 The Present Position of Learning Algorithms and Patient Monitoring 39426.5 Possible Uses for Machine Learning Surveillance 39726.6 Concerns and Future Objectives 39926.7 Conclusions 400References 400Part V: Artificial Intelligence of Things: Applications in Agriculture and Industries27 Smart Agriculture System Using Artificial Intelligence and Internet of Things 405Meenakshi Yadav, Preety, Esha Saxena, Akhilesh Das27.1 Introduction 40627.2 Artificial Intelligence and IoT in Agriculture 40727.3 Components of AI and IoT for Agriculture 41027.4 Application of IoT and AI in Agricultural Automation 41227.5 Challenges and Opportunities 41427.6 Conclusion and Future Trends 416References 41728 Application of AI and IoT in Agriculture 419Rashmi Singh28.1 Agricultural Process 42028.2 The Use of Artificial Intelligence in Agricultural Applications 42128.3 Predictive Analytics and Precision Agriculture 42228.4 Agricultural Robotics (Agrobots) 42628.5 AI-Enabled System for Pest Control and Disease Diagnosis 43328.6 Adopting AI: A Challenge for Farmers 43528.7 Conclusion 436References 43629 Traffic Management System Using AIoT 439Pallavi Choudekar, Rashmi Singh29.1 Introduction 44029.2 Smart Road Traffic Management System (SRTMS) 44429.3 Smart Traffic Information System (TIS) 44529.4 Smart Parking Management System 44929.5 Smart Pavement Management System 45229.6 Conclusion 454References 45530 Autonomous Vehicles: A Convergence Application of AI and IoT 459Neha Gehlot, Amritpal Kuar30.1 Introduction 46030.2 Technical Challenges in Self-Driving Cars 46530.3 Other Very Critical Areas 46730.4 Blind Spots in Autonomous Vehicles 46930.5 Potential Cyberattacks on Automated Vehicles 47130.6 Conclusion 472References 47331 Convergence of Artificial Intelligence and Internet of Things for Software-Defined Radios 475Shilpa Mehta, Xue Jun Li, Surjeet Dalal31.1 Introduction 47631.2 Review of SDR Receiver Architectures 47731.3 Integration of SDR and IoT 48231.4 Artificial Intelligence 48431.5 Proposed AI-Based Receiver Architecture 49231.6 AI Optimization 49831.7 Results and Discussion 49831.8 Conclusion 501References 50132 Artificial Intelligence of Things (AIoT) for Intelligent Data Design 507Parul Gandhi, Raj Kumar32.1 Introduction 50832.2 AI, IoT, and Big Data Analytics 51132.3 AIoT-Based Data Analytics and Decision-Making 51232.4 Challenges 51432.5 Role of AIoT in the Context of COVID- 19 51532.6 Future Direction and Conclusion 516References 51633 A Study of Implementation of Blockchain Technology in Land Registration: A SWOT Analysis 519Ankita Goyal, Upendra Singh33.1 Introduction 52033.2 Literature Review 52133.3 Research Methodology 52333.4 Discussion, Analysis, Limitation and Future Work 52333.5 Conclusion 527References 52834 Smart Mask Disinfection System (SMDS) 531N. Swetha Sridevi, N. C. Preethika, T. Subiksha34.1 Introduction 53234.2 Related Work 53334.3 Smart Mask Disinfection System 53434.4 Results and Discussion 54434.5 Conclusion 545References 546Editors 547Index 551