Selected article for: "machine learning and ML machine learning"
Author: Song-Kyoo Kim
Title: AAEDM: Theoretical Dynamic Epidemic Diffusion Model and Covid-19 Korea Pandemic Cases
  • Document date: 2020_3_20
    • ID: jf36as70_55
    Snippet: Adapting the AAEDM into other countries and other regions: Although the AADEM has been adapted for proofing the concept in Korea case, it could be adapted into other countries or other regions such as Italy, USA, UK, UAE and so on. They will understand the Covid-19 situation more clearly by tracking the and the kappa zeta factors. Improving the AAEDM: The closed formula of the AAEDM is still in the basic stage. Other vital factors such as social .....
    Document: Adapting the AAEDM into other countries and other regions: Although the AADEM has been adapted for proofing the concept in Korea case, it could be adapted into other countries or other regions such as Italy, USA, UK, UAE and so on. They will understand the Covid-19 situation more clearly by tracking the and the kappa zeta factors. Improving the AAEDM: The closed formula of the AAEDM is still in the basic stage. Other vital factors such as social distancing [12] could be added and evaluated with real epidemic data. Optimizing the critical parameters in the AAEDM: Researchers could find the critical parameters in the AAEDM including , and by using the machine learning (ML)     techniques. Finding the analytical function of and :

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