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Predicting covid-19 trajectory using machine learning:
Alwaeli, Zainab Abbas Abdulhussein
;
Ibrahim, Abdullahi Abdu
4th International Symposium on Multidisciplinary Studies and Innovative Technologies, ISMSIT 2020 - Proceedings. , 2020
Link:
https://hdl.handle.net/20.500.12939/1047
RT Journal T1 <Title>Predicting covid-19 trajectory using machine learning</Title> UL https://suche.suub.uni-bremen.de/peid=base-ftaltinbasuniv:oai:openaccess.altinbas.edu.tr:20.500.12939_1047&Exemplar=1&LAN=DE A1 Alwaeli, Zainab Abbas Abdulhussein A1 Ibrahim, Abdullahi Abdu PB Institute of Electrical and Electronics Engineers Inc. YR 2020 K1 Component K1 Formatting K1 Insert K1 Style K1 Styling JF 4th International Symposium on Multidisciplinary Studies and Innovative Technologies, ISMSIT 2020 - Proceedings LK http://dx.doi.org/https://hdl.handle.net/20.500.12939/1047 DO https://hdl.handle.net/20.500.12939/1047 SF ELIB - SuUB Bremen
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