| Autor: |
Rajendran, Aarthi, Murugesan, Thangamani, Chinnasamy, Narmatha, Rao, Gurudharshini Balaji, Muthuraj, Iswarya, Krishnamoorthy, Mounisuhitha |
| Předmět: |
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| Zdroj: |
AIP Conference Proceedings; 2023, Vol. 2790 Issue 1, p1-8, 8p |
| Abstrakt: |
COVID 19 infects many countries thereby increasing the death rate worldwide. Detection in early stage is a big challenge to government, medical practitioners. Deep learning is an artificial Intelligence method having the ability of learning quickly and can easily apply in the related to clinical traits. The learning capability of DL which are difficult for humans to sense can provide high dimensional mapping in the clinical outcomes It can be used to understand the nature of this virus and further forecast the future issues. This analysis of research is done by penetrating the related effort for COVID-19 using DL for detection and analyzing of COVID-19 deep learning provide an exact and effective structure. Deep learning can fight against this disease by applying information technology. By predicting this transferable disease by using available procedures; we can develop the ability to handle the spreading of COVID-19. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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