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

originality

Deep Learning-Based COVID-19 Diagnosis and Trend Predictions,e, China. The COVID-19 was quickly spreading in China and emerged nearly all over the world. In this chapter, our motivation is to adopt the deep learning techniques to help clinic doctors to diagnose the patients of COVID-19 and predict the trend of COVID-19. To realize our motivation, we on the on

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,Social Distancing and Artificial Intelligence—Understanding the Duality in the Times of COVID-19,are forced to adopt and practice social distancing. With the recent outbreak of the pandemic caused by novel coronavirus (COVID-19), people around the world have been advised by the authorities to practice social distancing. This chapter is a modest attempt to study the impact of artificial intellig

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AI-Enabled Framework to Prevent COVID-19 from Further Spreading,e further spreading of coronavirus. For experimental results, the concept of AIE framework is designed by considering the scenario of urban and rural regions of the state of Haryana(India). The comparative analysis of AIE with traditional frameworks is shown in Table?. which defines the novelty and

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Understanding and Analysis of Enhanced COVID-19 Chest X-Ray Images, from the open-source GitHub repository. Considering the experimental result presented and performance metric, the proposed algorithm has provided important details to doctors in making right decision.

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COVID-19: Loose Ends,ore number of the cases across the world. This chapter will discuss the role of ARI and loose ends in their implementation. It is focused on three major aspects: AI algorithms in analysis and prediction, the use of robotics in control and prevention of the pandemic and the role of IOT for the patien

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2191-530X otics and its possible uses, the book will appeal to a broad readership, including academics, researchers and industry professionals..978-981-15-6571-7978-981-15-6572-4Series ISSN 2191-530X Series E-ISSN 2191-5318