Cyberphysical Smart Cities Infrastructures. Группа авторов

Чтение книги онлайн.

      1  Cover

      2  Title Page

      3  Copyright

      4  Biography

      5  List of Contributors

      6  1 Artificial Intelligence and Cybersecurity: Tale of Healthcare Applications 1.1 Introduction 1.2 A Brief History of AI 1.3 AI in Healthcare 1.4 Morality and Ethical Association of AI in Healthcare 1.5 Cybersecurity, AI, and Healthcare 1.6 Future of AI and Healthcare 1.7 Conclusion References

      7  2 Data Analytics for Smart Cities: Challenges and Promises 2.1 Introduction 2.2 Role of Machine Learning in Smart Cities 2.3 Smart Cities Data Analytics Framework 2.4 Conclusion References

      8  3 Embodied AI‐Driven Operation of Smart Cities: A Concise Review 3.1 Introduction 3.2 Rise of the Embodied AI 3.3 Breakdown of Embodied AI 3.4 Simulators 3.5 Future of Embodied AI 3.6 Conclusion References

      9  4 Analysis of Different Regression Techniques for Battery Capacity Prediction 4.1 Introduction 4.2 Data Preparation 4.3 Experiment Design and Machine Learning Algorithms 4.4 Result and Analysis 4.5 Threats to Validity 4.6 Conclusions References Note

      10  5 Smart Charging and Operation of Electric Fleet Vehicles in a Smart City 5.1 Smart Charging in Transportation 5.2 Cyber‐Physical Aspects of EV Networks 5.3 Charging of Electric Fleet Vehicles in Smart Cities 5.4 Data and Cyber Security of EV Networks 5.5 EV Smart Charging Strategies 5.6 Conclusion Acknowledgments References Note

      11  6 Risk‐Aware Cyber‐Physical Control for Resilient Smart Cities 6.1 Introduction 6.2 System Model 6.3 Risk‐Aware Quality of Service Routing Using SDN 6.4 Risk‐Aware Adaptive Control 6.5 Simulation Environment and Numerical Analysis 6.6 Conclusions References Notes

      12  7 Wind Speed Prediction Using a Robust Possibilistic C‐Regression Model Method: A Case Study of Tunisia 7.1 Introduction 7.2 Data Collection and Method 7.3 Experiment and Discussion 7.4 Conclusion References

      13  8 Intelligent Traffic: Formulating an Applied Research Methodology for Computer Vision and Vehicle Detection 8.1 Introduction 8.2 Literature Review 8.3 Research Methodology 8.4 Conclusion References СКАЧАТЬ