Description |
1 online resource (333 p.) |
Series |
Wireless Communications and Networking Technologies Ser |
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Wireless Communications and Networking Technologies Ser
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Contents |
Cover -- Half Title -- Title Page -- Copyright Page -- Table of Contents -- List of Figures -- List of Tables -- Preface -- Editors -- Contributors -- About This Book -- Chapter 1 Mood-Detection Based Media Recommendation -- 1.1 Introduction -- 1.1.1 Mood Taxonomy -- 1.2 Related Works -- 1.2.1 Media Recommendation -- 1.2.2 Text-Based Emotion Detection -- 1.2.3 Image-Based Emotion Detection -- 1.3 Proposed System -- 1.3.1 Text-Based Emotion Detection -- 1.3.2 Emotion Detection Using Feature Extraction -- 1.3.3 Media Recommendation Algorithm -- 1.3.4 Result -- References |
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Chapter 2 AI- and IoT-Based Body Sensor Networks for Healthcare System: A Systematic Review -- 2.1 Introduction -- 2.2 Literature Review -- 2.3 Features of BSN -- 2.4 Importance of BSN in IoT -- 2.5 Architecture of IoT Based on BSN in Healthcare System -- 2.6 AI Technology Using Deep Learning Methods for Sensor Data -- 2.7 Applications of BSN -- 2.7.1 Medical Field -- 2.7.2 Disability Services -- 2.7.3 Sports and Fitness -- 2.7.4 Military Services -- 2.7.5 Entertainment -- 2.8 Challenges of BSN and IoT in Healthcare Technologies -- 2.8.1 Scalability -- 2.8.2 Security |
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2.8.3 Privacy and Confidentiality -- 2.9 Conclusion -- References -- Chapter 3 On the Convergence of Blockchain and IoT for Enhanced Security -- 3.1 Introduction -- 3.2 Motivation -- 3.3 IoT Security -- 3.3.1 IoT Background -- 3.3.2 IoT Security Risks -- 3.3.2.1 Security Risks at Sensing Layer -- 3.3.2.2 Security Risks at Network Layer -- 3.3.2.3 Security Risks at Middleware Layer -- 3.3.2.4 Security Risks at Application Layer -- 3.4 Blockchain Technology -- 3.5 Integration of Blockchain with IoT -- 3.5.1 Architecture of the System -- 3.6 Challenges of the Integrated Technologies |
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3.7 Conclusion -- References -- Chapter 4 Artificial Intelligence in Cloud Computing -- 4.1 Introduction -- 4.2 Cyber-Physical System -- 4.2.1 CPS Structure -- 4.2.2 CPS Components -- 4.2.3 CPS Characteristics -- 4.2.4 Domains of CPS -- 4.2.5 CPS Challenges -- 4.2.6 CPS Security -- 4.3 Cloud Computing Technologies -- 4.4 AI Technologies -- 4.4.1 Detection of Malware Using ML Algorithms -- 4.5 Conclusions -- References -- Chapter 5 Current and Future Trends in an Intelligent Transportation System with Applications of AI -- 5.1 Introduction -- 5.1.1 Internet of Things (IoT) |
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5.1.2 Machine Learning (ML) -- 5.1.3 Sensor Technology -- 5.1.3.1 In-Vehicle Sensors -- 5.1.4 IoT and ML in Making Our Current Transportation 'Smart' -- 5.2 Trends of Smart Transportation System -- 5.2.1 Route Optimization-Navigation -- 5.2.2 Parking -- 5.2.3 Lights -- 5.2.4 Accident Detection and Prevention -- 5.2.5 Road Anomalies Detection -- 5.2.6 Infrastructure -- 5.3 Case Study: Smart Transportation: The Case of Karachi -- 5.3.1 Smart Transportation: Concept -- 5.3.2 The Case of Karachi -- 5.3.2.1 Proposed Framework for Karachi -- 5.3.2.2 Concluding Remarks -- 5.4 Conclusion -- References |
Summary |
This book presents the combination of artificial intelligence blended with the Internet of Things (IoT) and its applications in cyber-physical systems. It will be useful for graduate students and academic researchers in diverse fields of engineering including electrical, electronics, computer, and information technology |
Notes |
Description based upon print version of record |
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Chapter 6 Intelligent 5G Networks and Augmented Virtual Reality in Smart Transportation |
Form |
Electronic book
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Author |
Nand, Parma
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Kumar, Neetesh
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Das, Sanjoy
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Sahana, Subrata
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ISBN |
9781000845488 |
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1000845486 |
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