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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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Bibliographic Details
Other Authors: Joshi, Amit (Editor), Dey, Nilanjan (Editor), Santosh, K. C. (Editor)
Format: eBook
Language:English
Published: Singapore Springer Nature Singapore 2020, 2020
Edition:1st ed. 2020
Series:SpringerBriefs in Computational Intelligence
Subjects:
Big Data
Health Informatics
Control, Robotics, Automation
Computational Intelligence
Medical Informatics
Artificial Intelligence
Control Engineering
Robotics
Automation
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
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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