Theoretical Artificial Intelligence Based on Shannon Entropy to Identify Strains in Covid-19 Pandemic

Huber Nieto-Chaupis. Theoretical Artificial Intelligence Based on Shannon Entropy to Identify Strains in Covid-19 Pandemic. In Third International Conference on Transdisciplinary AI, TransAI 2021, Laguna Hills, CA, USA, September 20-22, 2021. pages 45-46, IEEE, 2021. [doi]

@inproceedings{Nieto-Chaupis21-5,
  title = {Theoretical Artificial Intelligence Based on Shannon Entropy to Identify Strains in Covid-19 Pandemic},
  author = {Huber Nieto-Chaupis},
  year = {2021},
  doi = {10.1109/TransAI51903.2021.00016},
  url = {https://doi.org/10.1109/TransAI51903.2021.00016},
  researchr = {https://researchr.org/publication/Nieto-Chaupis21-5},
  cites = {0},
  citedby = {0},
  pages = {45-46},
  booktitle = {Third International Conference on Transdisciplinary AI, TransAI 2021, Laguna Hills, CA, USA, September 20-22, 2021},
  publisher = {IEEE},
  isbn = {978-1-6654-3412-6},
}