Computational Intelligence Methods in COVID-19: Surveillance, Prevention, Prediction and Diagnosis
| Korporacja: | |
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| Kolejni autorzy: | |
| Streszczenie: | XIX, 436 p. 114 illus., 97 illus. in color. text |
| Język: | angielski |
| Wydane: |
Singapore :
Springer Nature Singapore : Imprint: Springer,
2021.
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| Wydanie: | 1st ed. 2021. |
| Seria: | Studies in Computational Intelligence,
923 |
| Hasła przedmiotowe: | |
| Dostęp online: | https://doi.org/10.1007/978-981-15-8534-0 |
| Format: | Elektroniczne Książka |
Spis treści:
- 1. An Introduction to Computational Intelligence in COVID-19: Surveillance, Prevention, Prediction, and Diagnosis
- 2. Role of Computational Intelligence against COVID-19
- 3. Using Computational Intelligence for Tracking COVID-19 Outbreak in Online Social Networks
- 4. Social Network Analysis for the Identification of Key Spreaders during COVID-19
- 5. Mobile Technology Solution for COVID -19: Surveillance and Prevention
- 6. The Role of Internet of Things (IoT) in the Containment and Spread of the Novel COVID-19 Pandemic
- 7. A Review on Predictive Systems and Data Models for COVID-19
- 8. A Comparative Study of the SIR Prediction Models and Disease Control Strategies: A Case Study of the State of Kerala, India
- 9. Computational Intelligence Approach for Prediction of COVID-19 using Particle Swarm Optimization. 10. COVID-19 Insightful Data Visualization and Forecasting using Elasticsearch.