Titlebook: Digital Transformation and Emerging Technologies for Fighting COVID-19 Pandemic: Innovative Approach; Aboul Ella Hassanien,Ashraf Darwish

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規(guī)章

https://doi.org/10.1007/978-3-8274-2664-2’ economic, social life, and international relations around the world. In the fight against Coronavirus, Unmanned Aerial Vehicles (UAV) or drones can play a significant role in many aspects to limit the spread of this pandemic. Also, the strategic planning of many governments such as in China for co

長(zhǎng)處

https://doi.org/10.1007/978-3-8274-2664-2ruary, the world health organization considers it a world pandemic; it had spread in most world countries. This virus attacks the respiratory system, which makes failure in the system’s function. The effect of this crisis touched all the fields life, where all countries applied quarantine and roadbl

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冒煙

Heath G. Pascoe,Yuxiao Wang,Xuewu Zhangphisticated healthcare systems around the world could not stand against this pandemic, the synthesis of the fourth industrial revolution manifests its potential to eradicate this virus. This chapter discusses how multiple advanced technologies involve diverse perspectives of fighting the catastrophe

GRIEF

似少年

https://doi.org/10.1007/978-3-319-15010-9 Unlike 4G, 5G is highly integrative to produce a seamless user experience and universal high-rate coverage. The key role of 5G is increasing data capacity, improving data rate transfer, providing better service quality, and decreasing latency. Recently, COVID-19 is declared as an international epid

尾隨

門(mén)閂

,Einführung in die Markentheorie,chnology 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.

Lignans

Artificial Intelligence Approach to Predict the COVID-19 Patient’s Recoveryor recovery prediction. Deep analysis with other machine learning algorithms including artificial neural networks and regression models has been tested and compared with the SVM results. The experimental results show that most of the patients who could not recover had a fever, cough, general fatigue, and most probably malaise.