Analysis of COVID-19 Pandemic Using Artificial Intelligence

Maaz Amjad, Yuriria Rodriguez Chavez, Zaryyab Nayab, Alisa Zhila, Grigori Sidorov, Alexander F. Gelbukh. Analysis of COVID-19 Pandemic Using Artificial Intelligence. In Lourdes Martínez-Villaseñor, Oscar Herrera-Alcántara, Hiram E. Ponce, Félix Castro Espinoza, editors, Advances in Computational Intelligence - 19th Mexican International Conference on Artificial Intelligence, MICAI 2020, Mexico City, Mexico, October 12-17, 2020, Proceedings, Part II. Volume 12469 of Lecture Notes in Computer Science, pages 65-73, Springer, 2020. [doi]

@inproceedings{AmjadCNZSG20,
  title = {Analysis of COVID-19 Pandemic Using Artificial Intelligence},
  author = {Maaz Amjad and Yuriria Rodriguez Chavez and Zaryyab Nayab and Alisa Zhila and Grigori Sidorov and Alexander F. Gelbukh},
  year = {2020},
  doi = {10.1007/978-3-030-60887-3_6},
  url = {https://doi.org/10.1007/978-3-030-60887-3_6},
  researchr = {https://researchr.org/publication/AmjadCNZSG20},
  cites = {0},
  citedby = {0},
  pages = {65-73},
  booktitle = {Advances in Computational Intelligence - 19th Mexican International Conference on Artificial Intelligence, MICAI 2020, Mexico City, Mexico, October 12-17, 2020, Proceedings, Part II},
  editor = {Lourdes Martínez-Villaseñor and Oscar Herrera-Alcántara and Hiram E. Ponce and Félix Castro Espinoza},
  volume = {12469},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-60887-3},
}