International Journal of Advanced Scientific DiscoveriesA journal of MSIS PressInternational Journal of Advanced Scientific Discoveries
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Comparative Review: Guess Covid 19 With The Assistance Of One Of The Smart Systems As Ai

Abstract

This paper represents a comparative study and gives an overview of some of the research works on the very important topic right now COVID-19 and AI. In recent, the flow of infected rate of COVID-19 is increasing day by day. For predicting the flow of infected, recovery or death is very important. LSTM as Long Short-Term Memory is utilized for predicting. The LSTM networks are a sort of repetitive neural network competent for learning arrange reliance in arrangement expectation issues. Different types of methodology as hybrid AI modal, SEIR model, time series, and CT image used for prediction Coronavirus. We are going to survey a few papers around COVID-19 and AI-based work and examine their model, methodology, and algorithms. All those papers attempt to anticipate long-term circumstances around COVID-19. Utilizing these distinctive sorts of models, prepare them and calculate an estimated value that can create esteem which will be the same as long haul real-time result. Possibly a few shows create likely precise results a few demonstrate fizzled to create, but everybody tries to create their show impeccably which can produce nearly precise values.

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Farhat, S. L., Hossain, Z., Sarker, D., & Nahian, J. A. (2023). Comparative Review: Guess Covid 19 With The Assistance Of One Of The Smart Systems As Ai. International Journal of Advanced Scientific Discoveries, 1(1), online first. https://doi.org/10.66917/ijasd.a000003

BibTeX
@article{msisijasd-a000003,
  title = {Comparative Review: Guess Covid 19 With The Assistance Of One Of The Smart Systems As Ai},
  author = {Syeda Lamima Farhat and Zahid Hossain and Dhiman Sarker and Jabir Al Nahian},
  journal = {International Journal of Advanced Scientific Discoveries},
  year = {2023},
  volume = {1},
  number = {1},
  doi = {10.66917/ijasd.a000003}
}
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