The Smart Cyber Ecosystem for Sustainable Development. Группа авторов

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СКАЧАТЬ href="#ulink_4ba4de06-75f5-5097-85a3-7be738cb2c6d">7.8 Conclusions References 8 Sensor-Based Irrigation System: Introducing Technology in Agriculture 8.1 Introduction 8.2 Proposed System 8.3 Flow Chart 8.4 Use Case 8.5 System Modules 8.6 Limitations 8.7 Suggestions 8.8 Future Scope 8.9 Conclusion Acknowledgement References Suggested Additional Readings Key Terms and Definitions Appendix Example Code 9 Artificial Intelligence: An Imaginary World of Machine 9.1 The Dawn of Artificial Intelligence 9.2 Introduction 9.3 Components of AI 9.4 Types of Artificial Intelligence 9.5 Application Area of AI 9.6 Challenges in Artificial Intelligence 9.7 Future Trends in Artificial Intelligence 9.8 Practical Implementation of AI Application References 10 Impact of Deep Learning Techniques in IoT 10.1 Introduction 10.2 Internet of Things 10.3 Deep Learning 10.4 IoT Challenges on Deep Learning and Future Directions 10.5 Future Directions of Deep Learning 10.6 Common Datasets for Deep Learning in IoT 10.7 Discussion 10.8 Conclusion References

      6  Part 2: ARTIFICIAL INTELLIGENCE IN HEALTHCARE 11 Non-Invasive Process for Analyzing Retinal Blood Vessels Using Deep Learning Techniques 11.1 Introduction 11.2 Existing Methods Review 11.3 Methodology 11.4 Databases and Evaluation Metrics 11.5 Results and Analysis 11.6 Concluding Remarks References 12 Existing Trends in Mental Health Based on IoT Applications: A Systematic Review 12.1 Introduction 12.2 Methodology 12.3 IoT in Mental Health 12.4 Mental Healthcare Applications and Services Based on IoT 12.5 Benefits of IoT in Mental Health 12.6 Challenges in IoT-Based Mental Healthcare Applications 12.7 Blockchain in IoT for Healthcare 12.8 Results and Discussion 12.9 Limitations of the Survey 12.10 Conclusion References 13 Monitoring Technologies for Precision Health 13.1 Introduction 13.2 Applications of Monitoring Technologies 13.3 Limitations 13.4 Future Insights 13.5 Conclusions References 14 Impact of Artificial Intelligence in Cardiovascular Disease 14.1 Artificial Intelligence 14.2 Machine Learning 14.3 The Application of AI in CVD 14.4 Future Prospect 14.5 PUAI and Novel Medical Mode 14.6 Traditional Mode 14.7 Representative Calculations of AI 14.8 Overview of Pipeline for Image-Based Machine Learning Diagnosis References 15 Healthcare Transformation With Clinical Big Data Predictive Analytics 15.1 СКАЧАТЬ