Open Access
Issue
E3S Web Conf.
Volume 245, 2021
2021 5th International Conference on Advances in Energy, Environment and Chemical Science (AEECS 2021)
Article Number 03041
Number of page(s) 5
Section Chemical Performance Research and Chemical Industry Technology Research and Development
DOI https://doi.org/10.1051/e3sconf/202124503041
Published online 24 March 2021
  1. S. Hamidi, S. Sabouri, R Ewing. (2020) “Does Density Aggravate the Covid-19 Pandemic?” Journal of the American Planning Association, DOI: 10.1080/01944363.2020.1777891 [Google Scholar]
  2. WHO, (2020). Mythbusters. https://www.who.int/emergencies/diseases/novel-coronavirus-2019/advice-for-public/myth-busters?gclid=EAIaIQobChMIv5Px68zT6gIVQ38rCh2IQwpaEAAYASAAEgJlD_D_BwE#medicines [Google Scholar]
  3. Lisa Du, (2020), Pandemic Tops 10 Million Cases, 500,000 Deaths as Momentum Grows. https://www.bloomberg.com/news/articles/2020-06-28/global-covid-19-cases-hit-10-million-as-pandemic-gains-momentum [Google Scholar]
  4. WHO, (2020). Q&A: How is COVID-19 transmitted?. https://www.who.int/news-room/q-a-detail/q-a-how-is-covid-19-transmitted [Google Scholar]
  5. Centers for Disease Control and Prevention, 2020. Clinical Care Guidance. https://www.cdc.gov/coronavirus/2019-ncov/hcp/clinical-guidance-management-patients.html [Google Scholar]
  6. Bells, J., (2014) “What Is Machine Learning” in: Machine Learning, John Wiley & Sons, Inc. Indianapolis. pp. 2. [Google Scholar]
  7. John Hopkins University, (2020). Coronavirus Resource Center. https://coronavirus.jhu.edu/us-map [Google Scholar]
  8. City-Data, (2020). https://www.city-data.com/ [Google Scholar]
  9. Bells, J., (2014) “What Is Machine Learning” in: Machine Learning, John Wiley & Sons, Inc. Indianapolis. pp. 3. [Google Scholar]
  10. Bells, J, (2014) “Wording with Decision Trees” in: Machine Learning, John Wiley & Sons, Inc. Indianapolis. pp. 46. [Google Scholar]
  11. Biau, G., Scornet, E. (2016) A random forest guided tour. TEST 25, 197–227 https://doi.org/10.1007/s11749-016-0481-7 [Google Scholar]
  12. Tutorialspoint. Machine Learning - Logistic Regression. https://www.tutorialspoint.com/machine_learning_with_python/machine_learning_with_python_classification_algorithms_logistic_regression.htm#:~:text=Logistic%20regression%20is%20a%20supervised,be%20only%20two%20possible%20classes.&text=Mathematically%2C%20a%20logistic%20regression%20model,as%20a%20function%20of%20X. [Google Scholar]
  13. Anand Venkataraman., (2019) Naive Bayes for Machine Learning -From Zero to Hero. https://blog.floydhub.com/naive-bayes-for-machine-learning/#:~:text=And%20the%20Machine%20Lear ning%20%E2%80%93%20The,presence%20of%20 any%20other%20feature. [Google Scholar]
  14. Bells, J, (2014) “Support Vector Machines” in: Machine Learning, John Wiley & Sons, Inc. Indianapolis. pp. 139-140. [Google Scholar]
  15. N. Mohanty, A.Lee-St. John, R. Manmatha, T.M. Rath, (2013) “Shape-Based Image Classification and Retrieval” in: Handbook of Statistics, Volume 31. pp. 249-267. [Google Scholar]
  16. S. D. Jadhav and H. P. Channe, (2016) “Comparative study of K-NN, naive bayes and decision tree classification techniques,” International Journal of Science and Research (IJSR), vol. 5, no. 1, pp. 1842–1845. https://www.ijsr.net/archive/v5i1/NOV153131.pdf [Google Scholar]
  17. Weston C. Roda, Marie B. Varughese, Donlin Han, Michael Y. Li, (2020) “Why is it difficult to accurately predict the Covid-19 epidemic?” Infectious Disease Modelling 5 (2020) pp. 271-281 [PubMed] [Google Scholar]

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