Titlebook: Artificial Intelligence for COVID-19; Diego Oliva,Said Ali Hassan,Ali Mohamed Book 2021 The Editor(s) (if applicable) and The Author(s), u

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Big Data and Data Analytics for an Enhanced COVID-19 Epidemic Management,us way by which data grows in the healthcare sector, the rate at which data are been produced, and the variety of various data in the healthcare system contributed to this growth. Also, the rate at which these data are been captured, stored, analyzed, and retrieved in healthcare has swiftly from the

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Application of COVID-19 Pandemic Using Artificial Intelligence,ree basic would cherish for dynamic advancements to deal with this infection and encourage them in acquiring right proposals in a timeframe to maintain a strategic distance from its unfurl. Artificial intelligence works in an incredibly master approach to imitate like human insight. It ought to in a

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Application of Artificial Intelligence for COVID-19 Epidemic: An Exploratory Study, Opportunities, 9 can be expediting the diagnoses and monitoring of COVID-19 and minimizes the burden of these processes. Therefore, this chapter discusses the areas of applicability of AI during the COVID-19 pandemic. Discusses several extraordinary opportunities brought by AI in the COVID-19 outbreak and the rese

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An Efficient Mixture of Deep and Machine Learning Models for COVID-19 and Tuberculosis Detection Usining 14 individual pre-trained deep networks for DF extraction with machine learning classifiers. A novel pipeline consisting of ResNet-50 for DF computation and ensemble of subspace discriminant classifier was the best performer in the classification of the five classes, achieving a detection accu

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Robotics and Automation: The Rescuers of COVID Era,healthcare, medical and pharmaceutical sectors due to shortage of medical staff and equipments and fear of spreading the disease from one person to another. Moreover, robots can also be used by the manufacturing industries to revive their production and to reduce the impact of present and future epi