Computational Intelligence Methods in COVID-19: Surveillance, Prevention, Prediction and Diagnosis
| 団体著者: | |
|---|---|
| その他の著者: | |
| 要約: | XIX, 436 p. 114 illus., 97 illus. in color. text |
| 言語: | 英語 |
| 出版事項: |
Singapore :
Springer Nature Singapore : Imprint: Springer,
2021.
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| 版: | 1st ed. 2021. |
| シリーズ: | Studies in Computational Intelligence,
923 |
| 主題: | |
| オンライン･アクセス: | https://doi.org/10.1007/978-981-15-8534-0 |
| フォーマット: | 電子媒体 図書 |
目次:
- 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.