Intelligent Systems and Novel Coronavirus (COVID-19): A Bibliometric Analysis
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-030-67716-9_5
Reference27 articles.
1. Zhu, N., et al.: A novel coronavirus from patients with pneumonia in China, 2019. N. Engl. J. Med. (2020). https://doi.org/10.1056/NEJMoa2001017
2. McCall, B.: COVID-19 and artificial intelligence: protecting health-care workers and curbing the spread. Lancet Digit. Heal. (2020). https://doi.org/10.1016/S2589-7500(20)30054-6
3. Worldometers.: COVID-19 coronavirus outbreak. Worldometers. (2020). https://www.worldometers.info/coronavirus/
4. Arpaci, I., et al.: Analysis of twitter data using evolutionary clustering during the COVID-19 pandemic. Comput. Mater. Contin. 65(1), 193–203 (2020). https://doi.org/10.32604/cmc.2020.011489
5. Al-Emran, M.: Hierarchical reinforcement learning: a survey. Int. J. Comput. Digit. Syst. 4(2), 137–143 (2015)
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