COVID-19 Epidemic Analysis Using Linear and Polynomial Regression Approach
暂无分享,去创建一个
[1] Sumit Sengupta,et al. Linear Regression Analysis to predict the number of deaths in India due to SARS-CoV-2 at 6 weeks from day 0 (100 cases - March 14th 2020) , 2020, Diabetes & Metabolic Syndrome.
[2] SEIR and Regression Model-based COVID-19 outbreak predictions in India (Preprint) , 2020 .
[3] S. S. Gill,et al. Predicting the growth and trend of COVID-19 pandemic using machine learning and cloud computing☆ , 2020, Internet of Things.
[4] G. Pandey,et al. SEIR and Regression Model based COVID-19 outbreak predictions in India , 2020, medRxiv.
[5] Samir Kumar Bandyopadhyay,et al. Machine Learning Approach for Confirmation of COVID-19 Cases: Positive, Negative, Death and Release , 2020, medRxiv.
[6] M. Medina,et al. Preliminary Estimate of COVID-19 Case Fatality Rate in the Philippines using Linear Regression Analysis , 2020 .
[7] L. H. Long. The world almanac and book of facts , 1966 .
[8] Sonali Agarwal,et al. COVID-19 Epidemic Analysis using Machine Learning and Deep Learning Algorithms , 2020, medRxiv.
[9] Anil Kumar,et al. Regression Analysis of COVID-19 Spread in India and its Different States , 2020, medRxiv.
[10] Ramjeet Singh Yadav. Data analysis of COVID-2019 epidemic using machine learning methods: a case study of India , 2020, International journal of information technology : an official journal of Bharati Vidyapeeth's Institute of Computer Applications and Management.
[11] Umut Ozkaya,et al. Coronavirus (Covid-19) Classification Using CT Images by Machine Learning Methods , 2020, RTA-CSIT.