Titlebook: Big Data Analytics and Artificial Intelligence Against COVID-19: Innovation Vision and Approach; Aboul-Ella Hassanien,Nilanjan Dey,Sally E

FLIC

https://doi.org/10.1007/978-3-322-93271-6ransmission ability is extremely powerful and its incubation period is comparatively larger. Covid-19 pandemic affected world health and socio-economy severely. So, it is required to know earlier whether the condition is continuing to get worse or how to scale up medical facilities like tracing, tes

HAWK

僵硬

https://doi.org/10.1007/978-3-322-90632-8us 2 Virus was announced by the World Health Organization. In this chapter, we present a detailed investigation of the spread of COVID-19 in India, its neighboring countries, and other global hotspots. We also analyze the worst-hit states of India with respect to the rise in Confirmed cases and Deat

FANG

Cytokines

Mensch! Erstaunliches über den K?rperworld. The early diagnosis of the disease can help in providing the proper therapy and saving the humans’ life. However, it founded that the diagnosis of chest radiography can give an indicator of coronavirus. Thus, a Corner-based Weber Local Descriptor (CWLD) for COVID-19 diagnostics based on chest

驚惶

Mensch! Erstaunliches über den K?rpermportant and effective tools in machine learning (ML) that required large scale datasets. Recently, generative adversarial networks (GAN) is considered as the most potent and effective method for data augmentation. In this chapter, we investigated the importance of using GAN as a preprocessing stage

旁觀(guān)者

https://doi.org/10.1007/978-3-662-56155-3and death toll to more than 225 thousand till the end of April, 2020 globally. Currently, one-half of the world is under lockdown and complying with social distancing to arrest its spread. Does the COVID-19 crisis illustrate the necessity for solid artificial intelligence (AI) and machine learning (

relieve

Itinerant

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