Intelligent Connectivity. Abdulrahman Yarali

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Intelligent Connectivity - Abdulrahman Yarali


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      14  7 Intelligent Connectivity: New Capabilities to Bring Complex Use Cases 7.1 Introduction 7.2 Machine‐to‐Machine Communication and the Internet of Things 7.3 Convergence of Internet of Things, Artificial Intelligence, and 5G 7.4 Intelligent Connectivity Applications 7.5 Challenges and Risks of Intelligent Connectivity 7.6 Recommendations 7.7 Conclusion References

      15  8 IoT : Laws, Policies, and Regulations 8.1 Introduction 8.2 Recently Published Laws and Regulations 8.3 Developing Innovation and Growing the Internet of Things (DIGIT) Act 8.4 General View 8.5 Relaxation of Laws by the Federal Aviation Administration (FAA) 8.6 Supporting Innovation of Self‐Driving Cars by Government Policies 8.7 Recommendations 8.8 Conclusion References

      16  9 Artificial Intelligence and Blockchain 9.1 Introduction 9.2 Decentralized Intelligence 9.3 Applications 9.4 How Artificial Intelligence and Blockchain Will Affect Society 9.5 Augmented Reality 9.6 Mixed Reality 9.7 Virtual Reality 9.8 Key Components in a Virtual Reality System 9.9 Augmented Reality Uses 9.10 Applications of Virtual Reality in Business 9.11 The Future of Blockchain 9.12 Blockchain Applications 9.13 Blockchain and the Internet of Things 9.14 Law Coordination 9.15 Collaboration for Blockchain Success References

      17  10 Digital Twin Technology 10.1 Introduction 10.2 The Timeline and History of Digital Twin Technology 10.3 Technologies Employed in Digital Twin Models 10.4 The Dimension of Digital Twin Models 10.5 Digital Twin and Other Technologies 10.6 Digital Twin Technology Implementation 10.7 Benefits of Digital Twins 10.8 Application of Digital Twins 10.9 Challenges of Digital Twins References

      18  11 Artificial Intelligence, Big Data Analytics, and IoT 11.1 Introduction 11.2 Analytics 11.3 AI Technology in Big Data and IoT 11.4 AI Technology Applications and Use Cases 11.5 AI Technology Impact on the Vertical Market 11.6 AI in Big Data and IoT Market Analysis and Forecasts 11.7 Conclusion References

      19  12 Digital Transformation Trends in the Automotive Industry 12.1 Introduction 12.2 Evolution of the Automotive Industry 12.3 Data‐Driven Business Model and Data Monetization 12.4 Services of the Data‐Driven Business Model 12.5 Values of New Services in the New Automotive Industry 12.6 Conclusion References

      20  13 Wireless Sensors/IoT and Artificial Intelligence for Smart Grid and Smart Home 13.1 Introduction 13.2 Wireless Sensor Networks 13.3 Power Grid Impact 13.4 Benefits of the Smart Grid 13.5 Internet of Things 13.6 Internet of Things on the Smart Grid 13.7 Smart Grid and Artificial Intelligence 13.8 Smart Grid Programming 13.9 Conclusion References

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