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Intelligent Systems and Methods to Combat Covid-19

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...

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Corporate Author: SpringerLink (Online service)
Other Authors: Joshi, Amit. (Editor, http://id.loc.gov/vocabulary/relators/edt), Dey, Nilanjan. (Editor, http://id.loc.gov/vocabulary/relators/edt), Santosh, K. C. (Editor, http://id.loc.gov/vocabulary/relators/edt)
Language:English
Published: Singapore : Springer Singapore : Imprint: Springer, 2020.
Edition:1st ed. 2020.
Series:SpringerBriefs in Computational Intelligence,
Subjects:
Computational intelligence.
Artificial intelligence.
Health informatics.
Control engineering.
Robotics.
Mechatronics.
Big data.
Computational Intelligence.
Artificial Intelligence.
Health Informatics.
Control, Robotics, Mechatronics.
Big Data.
Online Access:https://doi.org/10.1007/978-981-15-6572-4
Table of Contents:
  • 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.

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