Details

Intelligent Connectivity


Intelligent Connectivity

AI, IoT, and 5G
IEEE Press 1. Aufl.

von: Abdulrahman Yarali

96,99 €

Verlag: Wiley
Format: PDF
Veröffentl.: 28.09.2021
ISBN/EAN: 9781119685234
Sprache: englisch
Anzahl Seiten: 352

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Beschreibungen

<b>INTELLIGENT CONNECTIVITY AI, IOT, AND 5G</b> <p><b>Explore the economics and technology of AI, IOT, and 5G integration </b> <p><i>Intelligent Connectivity: AI, IoT, and 5G</i> delivers a comprehensive technological and economic analysis of intelligent connectivity and the integration of artificial intelligence, Internet of Things (IoT), and 5G. It covers a broad range of topics, including Machine-to-Machine (M2M) architectures, edge computing, cybersecurity, privacy, risk management, IoT architectures, and more. <p>The book offers readers robust statistical data in the form of tables, schematic diagrams, and figures that provide a clear understanding of the topic, along with real-world examples of applications and services of intelligent connectivity in different sectors of the economy. <p><i>Intelligent Connectivity</i> describes key aspects of the digital transformation coming with the 4th industrial revolution that will touch on industries as disparate as transportation, education, healthcare, logistics, entertainment, security, and manufacturing. <p>Readers will also get access to: <ul><li>A thorough introduction to technology adoption and emerging trends in technology, including business trends and disruptive new applications</li> <li>Comprehensive explorations of telecommunications transformation and intelligent connectivity, including learning algorithms, machine learning, and deep learning</li> <li>Practical discussions of the Internet of Things, including its potential for disruption and future trends for technological development</li> <li>In-depth examinations of 5G wireless technology, including discussions of the first five generations of wireless tech</li></ul> <p>Ideal for telecom and information technology managers, directors, and engineers, <i>Intelligent Connectivity: AI, IoT, and 5G </i>is also an indispensable resource for senior undergraduate and graduate students in telecom and computer science programs.
<p>Preface</p> <p>Acknowledgement</p> <p>Introduction</p> <p>1 Technology Adoption and Emerging Trends</p> <p>1.1 Introduction</p> <p>1.2 Trends in Business technology</p> <p>1.3 AI-Fueled Organizations</p> <p>1.4 Connectivity of Tomorrow</p> <p>1.5 Moving Beyond Marketing</p> <p>1.6 Cloud Computing</p> <p>1.7 Cybersecurity, Privacy, and Risk Management</p> <p>1.8 Conclusion</p> <p>2 Telecommunication Transformation and Intelligent Connectivity</p> <p>2.1 Introduction</p> <p>2.2 Cybersecurity Concerns in the 5G World</p> <p>2.3 Positive Effects of Addressing Cybersecurity Challenges in 5G</p> <p>2.4 Intelligent Connectivity Use-Cases</p> <p>2.5 Industrial and Manufacturing Operations</p> <p>2.6 Healthcare</p> <p>2.7 Public Safety and Security</p> <p>2.8 Conclusion</p> <p>3 The Internet of Things (IoT): Potentials and the Future Trends</p> <p>3.1 Introduction</p> <p>3.2 Achieving the Future of IoT</p> <p>3.3 Commercial Opportunities for IoT</p> <p>3.4 The Industrial Internet of Things</p> <p>3.5 Future Impact of IoT in Our Industry</p> <p>3.6 Data Sharing in the IoT Environment</p> <p>3.7 IoT Devises Environment Operation</p> <p>3.8 Interoperability Issues of IoT</p> <p>3.9 IoT-Cloud –Application</p> <p>3.10 Regulation and Security Issues of IoT</p> <p>3.11 Achieving IoT Innovations While Tackling Security and Regulation Issues</p> <p>3.12 Future of IoT</p> <p>3.13 Conclusion</p> <p>4 The Wild Wonders of 5G Wireless Technology</p> <p>4.1 Introduction</p> <p>4.2 5G Architecture</p> <p>4.3 5G Applications</p> <p>4.4 5G Network Architecture</p> <p>4.5 Security and Issues of 5G</p> <p>4.6 IoT Devices in 5G Wireless</p> <p>4.7 Big Data Analytics in 5G</p> <p>4.8 AI Empowers a Wide Scope of Use Cases</p> <p>4.9 Conclusion</p> <p>5 Artificial Intelligence Technology</p> <p>5.1 Introduction</p> <p>5.2 Core Concepts of Artificial Intelligence</p> <p>5.3 Machine Learning and Applications</p> <p>5.4 Deep Learning</p> <p>5.5 Neural Networks Follow a Natural Model</p> <p>5.6 Classifications of Artificial Intelligence</p> <p>5.7 Trends in Artificial Intelligence</p> <p>5.8 Challenges of Artificial Intelligence</p> <p>5.9 Funding Trends in Artificial Intelligence</p> <p>5.10 Conclusion</p> <p>6 AI, 5G, & IoT: Driving Forces Towards the Industry Technology Trends</p> <p>6.1 Introduction</p> <p>6.2 Fifth Generation of Network Technology</p> <p>6.3 Internet of Things (IoT)</p> <p>6.4 Industrial Internet of Things</p> <p>6.5 IoT in Automotive</p> <p>6.6 IoT in Agriculture</p> <p>6.7 AI, IoT, and 5G Security</p> <p>6.8 Conclusion</p> <p>7 Intelligent Connectivity: A New Capabilities to Bring Complex Use Cases</p> <p>7.1 Introduction</p> <p>7.2 Machine-to-Machine Communication and the Internet of Things</p> <p>7.3 Convergence of Internet of Things, Artificial Intelligence and 5G</p> <p>7.4 Intelligent Connectivity Applications</p> <p>7.5 Challenges and Risks of Intelligent Connectivity</p> <p>7.6 Recommendations</p> <p>7.7 Conclusion</p> <p>8 IoT: Laws, Policies and Regulations</p> <p>8.1 Introduction</p> <p>8.2 Recently Published laws and Regulations</p> <p>8.3 Developing Innovation and Growing the Internet of Things (DIGIT) Act</p> <p>8.4 General View</p> <p>8.5 Relaxation of laws by the Federal Aviation Administration's (FAA)</p> <p>8.6 Supporting Innovation of Self Driving Cars by Allowing Policies</p> <p>8.7 Recommendations</p> <p>8.8 Conclusion</p> <p>9 Artificial Intelligence and Blockchain</p> <p>9.1 Introduction</p> <p>9.2 Decentralized Intelligence</p> <p>9.3 Applications</p> <p>9.4 How Artificial Intelligence and Blockchain will Affect Society</p> <p>9.5 How Augmented Reality Works</p> <p>9.6 Mixed Reality</p> <p>9.7 Virtual Reality</p> <p>9.8 Key Components in a Virtual Reality System</p> <p>9.9 Augmented Reality Uses</p> <p>9.10 Applications of Virtual Reality in Business</p> <p>9.11 The Future of Blockchain</p> <p>9.12 Blockchain Applications</p> <p>9.13 Blockchain and the Internet of Things</p> <p>9.14 Law Coordination</p> <p>9.15 Collaboration for Blockchain Success</p> <p>10 Digital Twin Technology</p> <p>10.1 Introduction</p> <p>10.2 The Timeline and History of Digital Twin Technology</p> <p>10.3 Technologies Employed in Digital Twin Models</p> <p>10.4 The Dimension of Digital Twins Models</p> <p>10.5 Digital Twin and Other Technologies</p> <p>10.6 Digital Twin Technology Implementation</p> <p>10.7 Benefits of Digital Twin</p> <p>10.8 Application of Digital Twins</p> <p>10.9 Challenges of Digital Twins</p> <p>11 Artificial Intelligence, Big Data Analytics, and IoT</p> <p>11.1 Introduction</p> <p>11.2 Analytic</p> <p>11.3 AI Technology in Big Data and IoT</p> <p>11.4 AI Technology Applications and Use Cases</p> <p>11.5 AI Technology Impact on the Vertical Market</p> <p>11.6 AI in Big Data and IoT Market Analysis and Forecasts</p> <p>11.7 Conclusion</p> <p>12 Digital Transformation Trends in the Automotive Industry</p> <p>12.1 Introduction</p> <p>12.2 Evolution of Automotive Industry</p> <p>12.3 Data-Driven Business Model and data monetization</p> <p>12.4 Services of Data-Driven Business Model</p> <p>12.5 Values of New Services in the New Automotive Industry</p> <p>12.6 Conclusion</p> <p>13 Wireless Sensors/IoT and Artificial Intelligence for Smart Grid and Smart Home</p> <p>13.1 Introduction</p> <p>13.2 Wireless Sensor Networks</p> <p>13.3 Power Grid Impact</p> <p>13.4 Benefits of Smart Grid</p> <p>13.5 Internet of Things</p> <p>13.6 Internet of Things on Smart Grid</p> <p>13.7 Smart Grid and Artificial Intelligence</p> <p>13.8 Smart Grid Programming</p> <p>13.9 Conclusion</p> <p>14 Artificial Intelligence, 5G and IoT: Security</p> <p>14.1 Introduction</p> <p>14.2 Understanding IoT</p> <p>14.3 Artificial Intelligence</p> <p>14.4 5G Network</p> <p>14.5 Emerging Partnership of Artificial Intelligence, IoT, 5G, and Cybersecurity</p> <p>14.6 Conclusion</p> <p>15 Intelligent Connectivity and Agriculture</p> <p>15.1 Introduction</p> <p>15.2 The Potential of Wireless Sensors and IoT in Agriculture</p> <p>15.3 IoT Sensory Technology with Traditional Farming</p> <p>15.4 IoT Devices and Communication Techniques</p> <p>15.5 IoT and all Crop Stages</p> <p>15.6 Drone in Farming Applications</p> <p>15.7 Conclusion</p> <p>16 Applications of Artificial Intelligence, ML, and DL</p> <p>16.1 Introduction</p> <p>16.2 Building Artificial Intelligence Capabilities</p> <p>16.3 What is Machine Learning?</p> <p>16.4 Deep Learning</p> <p>16.5 Machine Learning vs. Deep Learning Comparison</p> <p>16.6 Feature Engineering</p> <p>16.7 Application of Machine Learning</p> <p>16.8 Applications of Deep learning</p> <p>16.9 Future Trends</p> <p>17 Big Data and Artificial Intelligence: Strategies for Leading Business Transformation</p> <p>17.1 Introduction</p> <p>17.2 Big Data</p> <p>17.2 Machine Learning-Based Medical Systems</p> <p>17.3 Artificial Intelligence for Stock Market Prediction</p> <p>17.3.1 Application of Artificial Intelligence by Investors</p> <p>17.4 Trends in AI and Big Data Technologies Drive Business Innovation</p> <p>17.5 Driving Innovation Through Big Data</p> <p>17.6 The Convergence of AI and Big Data</p> <p>17.7 How AI and Big Data Will Combine to Create Business Innovation</p> <p>17.8 AI and Big Data for Technological Innovation</p> <p>17.9 AI and Production</p> <p>17.10 AI and ML Operations Research</p> <p>17.11 Collaboration Between Machines and Human</p> <p>17.12 Generative Designs</p> <p>17.13 Adapting to a Changing Market</p> <p>17.14 Conclusion</p> <p>Index</p>
<p><b>Abdulrahman Yarali, PhD,</b> 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.</p>
<p><B>Explore the economics and technology of AI, IOT, and 5G integration </b></p> <p><i>Intelligent Connectivity: AI, IoT, and 5G</i> delivers a comprehensive technological and economic analysis of intelligent connectivity and the integration of artificial intelligence, Internet of Things (IoT), and 5G. It covers a broad range of topics, including Machine-to-Machine (M2M) architectures, edge computing, cybersecurity, privacy, risk management, IoT architectures, and more. <p>The book offers readers robust statistical data in the form of tables, schematic diagrams, and figures that provide a clear understanding of the topic, along with real-world examples of applications and services of intelligent connectivity in different sectors of the economy. <p><i>Intelligent Connectivity</i> describes key aspects of the digital transformation coming with the 4th industrial revolution that will touch on industries as disparate as transportation, education, healthcare, logistics, entertainment, security, and manufacturing. <p>Readers will also get access to: <ul><li>A thorough introduction to technology adoption and emerging trends in technology, including business trends and disruptive new applications</li> <li>Comprehensive explorations of telecommunications transformation and intelligent connectivity, including learning algorithms, machine learning, and deep learning</li> <li>Practical discussions of the Internet of Things, including its potential for disruption and future trends for technological development</li> <li>In-depth examinations of 5G wireless technology, including discussions of the first five generations of wireless tech</li></ul> <p>Ideal for telecom and information technology managers, directors, and engineers, <i>Intelligent Connectivity: AI, IoT, and 5G </i>is also an indispensable resource for senior undergraduate and graduate students in telecom and computer science programs.

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