Intelligent Systems and Methods to Combat Covid-19 [[electronic resource] /] / edited by Amit Joshi, Nilanjan Dey, K. C. Santosh
(Visualizza in formato marc)
(Visualizza in BIBFRAME)
| Titolo: |
Intelligent Systems and Methods to Combat Covid-19 [[electronic resource] /] / edited by Amit Joshi, Nilanjan Dey, K. C. Santosh
|
| Pubblicazione: | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020 |
| Edizione: | 1st ed. 2020. |
| Descrizione fisica: | 1 online resource (xii, 91 pages) : illustrations |
| Disciplina: | 610.28563 |
| Soggetto topico: | Computational intelligence |
| Artificial intelligence | |
| Health informatics | |
| Control engineering | |
| Robotics | |
| Mechatronics | |
| Big data | |
| Computational Intelligence | |
| Artificial Intelligence | |
| Health Informatics | |
| Control, Robotics, Mechatronics | |
| Big Data | |
| Persona (resp. second.): | JoshiAmit |
| DeyNilanjan | |
| SantoshK. C | |
| Nota di contenuto: | Chapter 1. Data Analytics: COVID-19 Prediction using Multimodal Data -- Chapter 2. COVID-19 Apps: Privacy and security concerns -- Chapter 3. Coronavirus Outbreak: Multi-objective Prediction and Optimization -- Chapter 4. AI-Enabled Framework to Prevent COVID-19 from Further Spreading -- Chapter 5. Artificial Intelligence Enabled Robotic Drones for COVID-19 Outbreak -- Chapter 6. Understanding and Analysis of Enhanced COVID-19 Chest X-Ray Images -- Chapter 7. Deep Learning-based COVID-19 Diagnosis and Trend Predictions -- Chapter 8. COVID-19: Loose Ends -- Chapter 9. Social Distancing and Artificial Intelligence- Understanding the Duality in the times of Covid-19 -- Chapter 10. Post Covid-19 and Business Analytics. |
| Sommario/riassunto: | This book discusses intelligent systems and methods to prevent further spread of COVID-19, including artificial intelligence, machine learning, computer vision, signal processing, pattern recognition, and robotics. It not only explores detection/screening of COVID-19 positive cases using one type of data, such as radiological imaging data, but also examines how data analytics-based tools can help predict/project future pandemics. In addition, it highlights various challenges and opportunities, like social distancing, and addresses issues such as data collection, privacy, and security, which affect the robustness of AI-driven tools. Also investigating data-analytics-based tools for projections using time series data, pattern analysis tools for unusual pattern discovery (anomaly detection) in image data, as well as AI-enabled robotics and its possible uses, the book will appeal to a broad readership, including academics, researchers and industry professionals. |
| Titolo autorizzato: | Intelligent Systems and Methods to Combat Covid-19 |
| ISBN: | 981-15-6572-4 |
| Formato: | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | 9910416084003321 |
| Lo trovi qui: | Univ. Federico II |
| Opac: | Controlla la disponibilità qui |
Serie:
SpringerBriefs in Computational Intelligence, . 2625-3704