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· 분류 : 외국도서 > 건축/디자인 > 디자인 > 제품
· ISBN : 9780367692476
· 쪽수 : 344쪽
목차
Part 1: Prediction of COVID-19. 1. AI Future Applications and Challenges for COVID-19. 2. Mathematical Modeling Techniques for COVID-19. 3. Mathematical Predictive Modeling of COVID-19. 4. Machine Learning Based Predictive Modeling of COVID-19. 5. Statistical Methods for COVID-19 Prediction. 6. Emerging Computational Models Development for COVID-19. 7. Advanced Manufacturing and Digital Information Technologies for COVID-19 Prediction. 8. Case Study on Statistical and Mathematical Modeling Method for COVID-19 prediction. Part 2: Diagnosis of COVID-19. 9. Models for Diagnosis of COVID-19. 10. AI Strategies for Diagnosis of COVID-19. 11. Current Applications of Artificial Intelligence for COVID-19. 12. Case Study on the different Global Prevention Policies of COVID-19. 13. Industry 4.0 Technologies-Bbased Diagnosis for COVID-19. 14. Case Study on the State-of-the-Art AI Applications and Future of AI for COVID-19. 15. Laboratory Diagnosis of COVID-19. Part 3: Prevention of COVID-19. 16. Automated Self Precautionary Measure of COVID-19. 17. Individual, Family, and Interpersonal Correlation Analysis for COVID-19 Prevention. 18. AI Monitoring Application for Social Distancing in COVID-10 Emergency. 19. Case Study on Artificial Intelligence Applications for COVID-19 Prevention. 20. Statistical Methods for COVID-19 Prevention. 21. COVID -19 Prevention Strategies for Healthcare Staff, Students, Children. 22. Case Study on the State-of-the-Art AI Applications and Future of AI for COVID-19 Prevention.