Intelligent Connectivity: AI, IoT, and 5G

Author:   Abdulrahman Yarali
Publisher:   John Wiley and Sons Ltd
ISBN:  

9781119685180


Pages:   352
Publication Date:   04 November 2021
Format:   Hardback
Availability:   In stock   Availability explained
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Intelligent Connectivity: AI, IoT, and 5G


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Full Product Details

Author:   Abdulrahman Yarali
Publisher:   John Wiley and Sons Ltd
Imprint:   Wiley-Blackwell
Dimensions:   Width: 17.00cm , Height: 2.50cm , Length: 25.10cm
Weight:   0.760kg
ISBN:  

9781119685180


ISBN 10:   1119685184
Pages:   352
Publication Date:   04 November 2021
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   In stock   Availability explained
We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately.

Table of Contents

Preface Acknowledgement Introduction 1 Technology Adoption and Emerging Trends 1.1 Introduction 1.2 Trends in Business technology 1.3 AI-Fueled Organizations 1.4 Connectivity of Tomorrow 1.5 Moving Beyond Marketing 1.6 Cloud Computing 1.7 Cybersecurity, Privacy, and Risk Management 1.8 Conclusion 2 Telecommunication Transformation and Intelligent Connectivity 2.1 Introduction 2.2 Cybersecurity Concerns in the 5G World 2.3 Positive Effects of Addressing Cybersecurity Challenges in 5G 2.4 Intelligent Connectivity Use-Cases 2.5 Industrial and Manufacturing Operations 2.6 Healthcare 2.7 Public Safety and Security 2.8 Conclusion 3 The Internet of Things (IoT): Potentials and the Future Trends 3.1 Introduction 3.2 Achieving the Future of IoT 3.3 Commercial Opportunities for IoT 3.4 The Industrial Internet of Things 3.5 Future Impact of IoT in Our Industry 3.6 Data Sharing in the IoT Environment 3.7 IoT Devises Environment Operation 3.8 Interoperability Issues of IoT 3.9 IoT-Cloud -Application 3.10 Regulation and Security Issues of IoT 3.11 Achieving IoT Innovations While Tackling Security and Regulation Issues 3.12 Future of IoT 3.13 Conclusion 4 The Wild Wonders of 5G Wireless Technology 4.1 Introduction 4.2 5G Architecture 4.3 5G Applications 4.4 5G Network Architecture 4.5 Security and Issues of 5G 4.6 IoT Devices in 5G Wireless 4.7 Big Data Analytics in 5G 4.8 AI Empowers a Wide Scope of Use Cases 4.9 Conclusion 5 Artificial Intelligence Technology 5.1 Introduction 5.2 Core Concepts of Artificial Intelligence 5.3 Machine Learning and Applications 5.4 Deep Learning 5.5 Neural Networks Follow a Natural Model 5.6 Classifications of Artificial Intelligence 5.7 Trends in Artificial Intelligence 5.8 Challenges of Artificial Intelligence 5.9 Funding Trends in Artificial Intelligence 5.10 Conclusion 6 AI, 5G, & IoT: Driving Forces Towards the Industry Technology Trends 6.1 Introduction 6.2 Fifth Generation of Network Technology 6.3 Internet of Things (IoT) 6.4 Industrial Internet of Things 6.5 IoT in Automotive 6.6 IoT in Agriculture 6.7 AI, IoT, and 5G Security 6.8 Conclusion 7 Intelligent Connectivity: A 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 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's (FAA) 8.6 Supporting Innovation of Self Driving Cars by Allowing Policies 8.7 Recommendations 8.8 Conclusion 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 How Augmented Reality Works 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 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 Twins Models 10.5 Digital Twin and Other Technologies 10.6 Digital Twin Technology Implementation 10.7 Benefits of Digital Twin 10.8 Application of Digital Twins 10.9 Challenges of Digital Twins 11 Artificial Intelligence, Big Data Analytics, and IoT 11.1 Introduction 11.2 Analytic 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 12 Digital Transformation Trends in the Automotive Industry 12.1 Introduction 12.2 Evolution of Automotive Industry 12.3 Data-Driven Business Model and data monetization 12.4 Services of Data-Driven Business Model 12.5 Values of New Services in the New Automotive Industry 12.6 Conclusion 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 Smart Grid 13.5 Internet of Things 13.6 Internet of Things on Smart Grid 13.7 Smart Grid and Artificial Intelligence 13.8 Smart Grid Programming 13.9 Conclusion 14 Artificial Intelligence, 5G and IoT: Security 14.1 Introduction 14.2 Understanding IoT 14.3 Artificial Intelligence 14.4 5G Network 14.5 Emerging Partnership of Artificial Intelligence, IoT, 5G, and Cybersecurity 14.6 Conclusion 15 Intelligent Connectivity and Agriculture 15.1 Introduction 15.2 The Potential of Wireless Sensors and IoT in Agriculture 15.3 IoT Sensory Technology with Traditional Farming 15.4 IoT Devices and Communication Techniques 15.5 IoT and all Crop Stages 15.6 Drone in Farming Applications 15.7 Conclusion 16 Applications of Artificial Intelligence, ML, and DL 16.1 Introduction 16.2 Building Artificial Intelligence Capabilities 16.3 What is Machine Learning? 16.4 Deep Learning 16.5 Machine Learning vs. Deep Learning Comparison 16.6 Feature Engineering 16.7 Application of Machine Learning 16.8 Applications of Deep learning 16.9 Future Trends 17 Big Data and Artificial Intelligence: Strategies for Leading Business Transformation 17.1 Introduction 17.2 Big Data 17.2 Machine Learning-Based Medical Systems 17.3 Artificial Intelligence for Stock Market Prediction 17.3.1 Application of Artificial Intelligence by Investors 17.4 Trends in AI and Big Data Technologies Drive Business Innovation 17.5 Driving Innovation Through Big Data 17.6 The Convergence of AI and Big Data 17.7 How AI and Big Data Will Combine to Create Business Innovation 17.8 AI and Big Data for Technological Innovation 17.9 AI and Production 17.10 AI and ML Operations Research 17.11 Collaboration Between Machines and Human 17.12 Generative Designs 17.13 Adapting to a Changing Market 17.14 Conclusion Index

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Author Information

Abdulrahman Yarali, PhD, has led research teams working on wireless mobile communications systems design, implementation, and optimization for organizations like AT&T, Nortel, and Sprint PCS. He is a faculty member at the Institute of Engineering and TSM program at Michigan State University, USA.

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