Produktbild: Reshaping Intelligent Business and Industry

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

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Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

08.10.2024

Herausgeber

Surjeet Dalal + weitere

Verlag

John Wiley & Sons

Seitenzahl

640

Maße (L/B/H)

25/15/1,5 cm

Gewicht

1451 g

Auflage

1. Auflage

Sprache

Englisch

ISBN

978-1-119-90487-8

Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

08.10.2024

Herausgeber

Verlag

John Wiley & Sons

Seitenzahl

640

Maße (L/B/H)

25/15/1,5 cm

Gewicht

1451 g

Auflage

1. Auflage

Sprache

Englisch

ISBN

978-1-119-90487-8

EU-Ansprechpartner

Zeitfracht Medien GmbH
Ferdinand-Jühlke-Straße 7
99095 Erfurt
DE
produktsicherheit@zeitfracht.de

Herstelleradresse

Wiley & Sons
1 Oldlands Way
PO22 9NQ Bognor Regis
GB
trade@wiley.com

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  • Produktbild: Reshaping Intelligent Business and Industry
  • 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

    1.1 Introduction 4

    1.2 Artificial Intelligence Agents 7

    1.3 Artificial Intelligence Algorithms 9

    1.4 Applications of Artificial Intelligence 11

    1.5 Conclusion 16

    References 16

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

    2.1 Introduction 20

    2.2 Video Analytics 27

    2.3 Object Detection and Object Tracking 29

    2.4 Industrial Application 44

    2.5 Conclusion 46

    References 46

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

    3.1 Introduction 50

    3.2 Literature Review 53

    3.3 Requirement Specification 54

    3.4 Testing and Validation 57

    3.5 Result 64

    3.6 Conclusion and Future Work 66

    References 66

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

    4.1 Introduction 70

    4.2 Literature Review 71

    4.3 The Need for Exploring XAI 72

    4.4 Scope of Explanation 74

    4.5 Differences in Research Methodology 75

    4.6 Conclusion 78

    References 78

    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

    5.1 Introduction 82

    5.2 What Is Artificial Intelligence? 83

    5.3 The Law and Policy Relating to AI in India 88

    5.4 The Morality Debate: The Ethicality of AI in Law 91

    5.5 Conclusion 92

    References 92

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

    6.1 Introduction 98

    6.2 Predictive Analytics 98

    6.3 Machine Learning 100

    6.4 Applications of Supervised and Unsupervised Learning 104

    6.5 Conclusion 104

    References 105

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

    7.1 Introduction 108

    7.2 Related Work 108

    7.3 Research Methodology 110

    7.4 Model Description 113

    7.5 Conclusion 114

    References 115

    Part II: Internet of Things Applications

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

    8.1 Introduction 120

    8.2 Literature Review 121

    8.3 Benefits and Major Components of IoT 123

    8.4 IoT Implementation and Building Blocks 125

    8.5 IoT Architecture 126

    8.6 Conclusion 138

    References 138

    9 IoT Devices 141
    Mukesh Choubisa

    9.1 Introduction 142

    9.2 Application of IoT 144

    9.3 IoT Devices 148

    9.4 Conclusion 156

    References 156

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

    10.1 Introduction 158

    10.2 Related Work 159

    10.3 Overview of Internet of Things (IoT) 160

    10.4 Security Issues Addressed Using Diverse Technologies 164

    10.5 Open Challenges and Future Research Directions 168

    10.6 Conclusion 169

    References 169

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

    11.1 Introduction 180

    11.2 Related Work 181

    11.3 Methodologies Proposed 183

    11.4 Software Elements 184

    11.5 Project Cost Estimation 193

    11.6 Conclusion 195

    References 195

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

    12.1 Introduction 198

    12.2 Literature Review 198

    12.3 Proposed Wi-Fi Communication Module 198

    12.4 IR (Infrared) Remote and Arduino Nano 203

    12.5 Conclusion 206

    References 206

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

    13.1 Introduction 208

    13.2 Related Work 208

    13.3 Traditional and New Architecture of IoT 209

    13.4 Design Principles and Decision Framework of IoT 213

    13.5 Applications and Challenges 216

    13.6 Conclusion 220

    References 221

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

    14.1 Introduction 224

    14.2 Inclusions in IoT Network 225

    14.3 IoT Interoperability Protocols 226

    14.4 Interoperability Conceptual Framework Proposed 228

    14.5 Conclusion 233

    References 234

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

    15.1 Introduction 238

    15.2 Architecture of IoT 238

    15.3 Attacks on IoT 240

    15.4 Some Possible Solutions to Avoid/Prevent Cyberattacks 246

    15.5 Conclusions 247

    References 247

    Part III: Artificial Intelligence of Things: Smart City and Social Applications

    16 AIoT-Based Smart Cities 253
    Shelly Garg, Namitan

    16.1 What Are Smart Cities? 254

    16.2 Internet of Things 255

    16.3 Introduction to Artificial Intelligence 258

    16.4 AIoT in Smart Cities 263

    16.5 Conclusion 265

    References 265

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

    17.1 Introduction 268

    17.2 Overview of Smart Cities 270

    17.3 AIoT in Smart Cities 273

    17.4 Open Issues and Challenges 276

    17.5 Conclusion 276

    References 276

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

    18.1 Introduction 280

    18.2 Research Methodology 282

    18.3 The Risks and Challenges of Convergence in the Making of Smart Cities 287

    18.4 Results and Findings 289

    18.5 Future Research Directions for the Convergence of Blockchain, AI and IoT 290

    18.6 Conclusion 291

    References 292

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

    19.1 Introduction 296

    19.2 Literature Review 297

    19.3 Proposed Methodology 299

    19.4 Conclusion 302

    19.5 Challenges and Future Work 302

    References 302

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

    20.1 Introduction 306

    20.2 AIoT Applications in the Education Sector 307

    20.3 IoT Development Stages 309

    20.4 Conclusion 313

    References 313

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

    21.1 Introduction 316

    21.2 Literature Review and Hypotheses 317

    21.3 Methodology 319

    21.4 Results and Discussion 320

    21.5 Conclusion 323

    References 323

    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

    22.1 Introduction 328

    22.2 Literature Review 329

    22.3 IoT in Healthcare 329

    22.4 Role of Artificial Intelligence in Healthcare 336

    22.5 Challenges of IoT in Healthcare 340

    22.6 Conclusion 340

    References 341

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

    23.1 Introduction 344

    23.2 Background 344

    23.3 AIoT in Healthcare 351

    23.4 AIoT Challenges and Opportunities 352

    23.5 Conclusion 355

    References 356

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

    24.1 Introduction 360

    24.2 Problem Identification 362

    24.3 Proposed Methodology 364

    24.4 Findings and Discussion 368

    24.5 Conclusion 370

    References 370

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

    25.1 Introduction 374

    25.2 Security Matters for IoT in Healthcare 379

    25.3 Cholesterol Control Levels 380

    25.4 IoR Device for Cholesterol Test: CURO L 7 384

    25.5 Challenges, Limitations, and Future Scope 385

    25.6 Conclusion 386

    References 387

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

    26.1 Introduction 392

    26.2 Using Deep Learning and AI for Surveillance 393

    26.3 Other Ways that Do Not Rely on Machine Learning Knowledge 393

    26.4 The Present Position of Learning Algorithms and Patient Monitoring 394

    26.5 Possible Uses for Machine Learning Surveillance 397

    26.6 Concerns and Future Objectives 399

    26.7 Conclusions 400

    References 400

    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

    27.1 Introduction 406

    27.2 Artificial Intelligence and IoT in Agriculture 407

    27.3 Components of AI and IoT for Agriculture 410

    27.4 Application of IoT and AI in Agricultural Automation 412

    27.5 Challenges and Opportunities 414

    27.6 Conclusion and Future Trends 416

    References 417

    28 Application of AI and IoT in Agriculture 419
    Rashmi Singh

    28.1 Agricultural Process 420

    28.2 The Use of Artificial Intelligence in Agricultural Applications 421

    28.3 Predictive Analytics and Precision Agriculture 422

    28.4 Agricultural Robotics (Agrobots) 426

    28.5 AI-Enabled System for Pest Control and Disease Diagnosis 433

    28.6 Adopting AI: A Challenge for Farmers 435

    28.7 Conclusion 436

    References 436

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

    29.1 Introduction 440

    29.2 Smart Road Traffic Management System (SRTMS) 444

    29.3 Smart Traffic Information System (TIS) 445

    29.4 Smart Parking Management System 449

    29.5 Smart Pavement Management System 452

    29.6 Conclusion 454

    References 455

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

    30.1 Introduction 460

    30.2 Technical Challenges in Self-Driving Cars 465

    30.3 Other Very Critical Areas 467

    30.4 Blind Spots in Autonomous Vehicles 469

    30.5 Potential Cyberattacks on Automated Vehicles 471

    30.6 Conclusion 472

    References 473

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

    31.1 Introduction 476

    31.2 Review of SDR Receiver Architectures 477

    31.3 Integration of SDR and IoT 482

    31.4 Artificial Intelligence 484

    31.5 Proposed AI-Based Receiver Architecture 492

    31.6 AI Optimization 498

    31.7 Results and Discussion 498

    31.8 Conclusion 501

    References 501

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

    32.1 Introduction 508

    32.2 AI, IoT, and Big Data Analytics 511

    32.3 AIoT-Based Data Analytics and Decision-Making 512

    32.4 Challenges 514

    32.5 Role of AIoT in the Context of COVID- 19 515

    32.6 Future Direction and Conclusion 516

    References 516

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

    33.1 Introduction 520

    33.2 Literature Review 521

    33.3 Research Methodology 523

    33.4 Discussion, Analysis, Limitation and Future Work 523

    33.5 Conclusion 527

    References 528

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

    34.1 Introduction 532

    34.2 Related Work 533

    34.3 Smart Mask Disinfection System 534

    34.4 Results and Discussion 544

    34.5 Conclusion 545

    References 546

    Editors 547

    Index 551