Selected article for: "artificial intelligence and growth model"

Author: Ahmed, Kashif; Gouda, Niharika
Title: AI Techniques and Mathematical Modeling to Detect Coronavirus
  • Cord-id: rnyj63md
  • Document date: 2020_11_16
  • ID: rnyj63md
    Snippet: 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
    Document: 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.

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