Understanding the Global Data of Infections Cases by Covid-19 Through Gaussian and Trapezoid Models

Huber Nieto-Chaupis. Understanding the Global Data of Infections Cases by Covid-19 Through Gaussian and Trapezoid Models. In 6th International Conference on Computing, Communication and Security, ICCCS 2021, Las Vegas, NV, USA, October 4-6, 2021. pages 1-4, IEEE, 2021. [doi]

@inproceedings{Nieto-Chaupis21b-1,
  title = {Understanding the Global Data of Infections Cases by Covid-19 Through Gaussian and Trapezoid Models},
  author = {Huber Nieto-Chaupis},
  year = {2021},
  doi = {10.1109/ICCCS51487.2021.9776350},
  url = {https://doi.org/10.1109/ICCCS51487.2021.9776350},
  researchr = {https://researchr.org/publication/Nieto-Chaupis21b-1},
  cites = {0},
  citedby = {0},
  pages = {1-4},
  booktitle = {6th International Conference on Computing, Communication and Security, ICCCS 2021, Las Vegas, NV, USA, October 4-6, 2021},
  publisher = {IEEE},
  isbn = {978-1-6654-4039-4},
}