Publication Type : Journal Article
Publisher : Journal of The Institution of Engineers (India): Series B, Springer India, p.1 - 10
Source : Journal of The Institution of Engineers (India): Series B, Springer India, p.1 - 10 (2020)
Url : https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7668023/
Keywords : Artificial intelligence, Covid-19, Forecasting, Mathematical modeling, pneumonia, θ-SEIHRD
Year : 2020
Abstract : The epic coronavirus (COVID-19) flare-up, distinguished in late 2019, requires unique consideration in view of its future pandemics and conceivable worldwide dangers. In addition to clinical methodology and medicines, artificial intelligence (AI) guarantees another worldview for social welfare, a few distinctive AI methods that are based upon machine learning calculations are utilized for investigating information and dynamic procedures. This paper presents a survey on various mathematical model and AI-based devices to understand its growth which could assist in ruling out COVID-19 infection. Also, a new technique for the forecast of the disease is investigated. These methods if inculcated in practice can help in curtailing the further spread of the disease.
Cite this Research Publication : K. Ahmed and Gouda, N., “AI Techniques and Mathematical Modeling to Detect Coronavirus”, Journal of The Institution of Engineers (India): Series B, pp. 1 - 10, 2020.