Performance Analysis of Indian States and Union Territories for Covid-19 Management Through DEA and Machine Learning
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-3180-0_62
Reference22 articles.
1. Mohanta KK, Sharanappa DS, Aggarwal A (2021) Efficiency analysis in the management of COVID-19 pandemic in India based on data envelopment analysis. Curr. Res. Behav. Sci. 2:100063. https://doi.org/10.1016/j.crbeha.2021.100063
2. Prakash, K.B.: Analysis, Prediction and Evaluation of COVID-19 Datasets using Machine Learning Algorithms. Int. J. Emerg. Trends Eng. Res. 8, 2199–2204 (2020). https://doi.org/10.30534/ijeter/2020/117852020.
3. Aydin N, Yurdakul G (2020) Assessing countries’ performances against COVID-19 via WSIDEA and machine learning algorithms. Appl. Soft Comput. J. 97:106792. https://doi.org/10.1016/j.asoc.2020.106792
4. Tuli, S., Tuli, S., Tuli, R., Gill, S.S.: Predicting the growth and trend of COVID-19 pandemic using machine learning and cloud computing. Internet of Things (Netherlands). 11, (2020). https://doi.org/10.1016/j.iot.2020.100222.
5. Salgotra, R., Gandomi, M., Gandomi, A.H.: Time Series Analysis and Forecast of the COVID-19 Pandemic in India using Genetic Programming. Chaos, Solitons and Fractals. 138, (2020). https://doi.org/10.1016/j.chaos.2020.109945.
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