Titlebook: Intelligent Systems and Methods to Combat Covid-19; Amit Joshi,Nilanjan Dey,K. C. Santosh Book 2020 The Editor(s) (if applicable) and The

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978-981-15-6571-7The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor

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Book 2020ter 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

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Data Analytics: COVID-19 Prediction Using Multimodal Data,mparison. Finally, this chapter concludes with the prediction of COVID-19 using Prophet algorithm indicating more faster spread in short term. These predictions will be useful to government and healthcare communities to initiate appropriate measures to control this outbreak in time.

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COVID-19 Apps: Privacy and Security Concerns,ensitive data being collected is not exclusive to public health organizations and governments, this chapter explores different apps that were developed aiming to combat COVID-19, and the related personal data privacy concerns that arise in the post-coronavirus era.

誹謗

Coronavirus Outbreak: Multi-Objective Prediction and Optimization,matical formulation can evaluate the count of positive cases, mortality, recovery cases, transmission rate and prediction of peak time period. It is observed that the coronavirus outbreak is the constrained multi-objective prediction and optimization problem and also it is time variant.

AVERT

Artificial Intelligence-Enabled Robotic Drones for COVID-19 Outbreak,e their performance and increase efficiency in various situations to fight COVID-19. Further, it provides an in-depth review and analysis of literature on related work on COVID-19 outbreak. It also gives the necessary background for future research in edge intelligence, AI-enabled robotic drone and intelligent networks.