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Deep Learning Technology for Tackling COVID-19 Pandemic

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Digital Transformation and Emerging Technologies for Fighting COVID-19 Pandemic: Innovative Approaches

Part of the book series: Studies in Systems, Decision and Control ((SSDC,volume 322))

Abstract

Although the COVID-19 pandemic continues to expand, researchers around the world are working to understand, diminish, and curtail its spread. The primary fields of research include investigating transmission of COVID-19, promoting its identification, designing potential vaccines and therapies, and recognizing the pandemic’s socio-economic impacts. Deep Learning (DL), which uses either deep learning architectures or hierarchical approaches to learning, is developed a machine learning class since 2006. The exponential growth and availability of data and groundbreaking developments in hardware technology have led to the rise of new distributed and learning studies. Throughout this chapter, we discuss how deep learning can contribute to these goals by stepping up ongoing research activities, improving the efficiency and speed of existing methods, and proposing original lines of research.

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Authors and Affiliations

  1. Faculty of Computers and Artificial Intelligence, Cairo University, Giza, Egypt

    Mona Soliman & Aboul Ella Hassanien

  2. Scientific Research Group in Egypt (SRGE), Giza, Egypt

    Mona Soliman, Asahraf Darwish & Aboul Ella Hassanien

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  1. Mona Soliman
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  2. Asahraf Darwish
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Correspondence to Mona Soliman .

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  1. Faculty of Computers and Artificial Intelligence, Cairo University, Giza, Egypt

    Aboul Ella Hassanien

  2. Faculty of Science, Helwan University, Cairo, Egypt

    Ashraf Darwish

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Soliman, M., Darwish, A., Hassanien, A.E. (2021). Deep Learning Technology for Tackling COVID-19 Pandemic. In: Hassanien, A.E., Darwish, A. (eds) Digital Transformation and Emerging Technologies for Fighting COVID-19 Pandemic: Innovative Approaches. Studies in Systems, Decision and Control, vol 322. Springer, Cham. https://doi.org/10.1007/978-3-030-63307-3_9

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