COVID-19 Patient Count Prediction Using LSTM
- DOI
- 10.1109/tcss.2021.3056769
- Published
- 2021-08
- Container
- IEEE Transactions on Computational Social Systems
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1109/tcss.2021.3056769,
title = {COVID-19 Patient Count Prediction Using LSTM},
author = {Muhammad Iqbal and Feras Al-Obeidat and Fahad Maqbool and Saad Razzaq and Sajid Anwar and Abdallah Tubaishat and Muhammad Shahrose Khan and Babar Shah},
year = {2021},
journal = {IEEE Transactions on Computational Social Systems},
doi = {10.1109/tcss.2021.3056769},
url = {https://doi.org/10.1109/tcss.2021.3056769}
}RIS
TY - JOUR TI - COVID-19 Patient Count Prediction Using LSTM AU - Muhammad Iqbal AU - Feras Al-Obeidat AU - Fahad Maqbool AU - Saad Razzaq AU - Sajid Anwar AU - Abdallah Tubaishat AU - Muhammad Shahrose Khan AU - Babar Shah PY - 2021 JO - IEEE Transactions on Computational Social Systems DO - 10.1109/tcss.2021.3056769 UR - https://doi.org/10.1109/tcss.2021.3056769 ER -
APA
Iqbal, M., Al-Obeidat, F., Maqbool, F., Razzaq, S., Anwar, S., Tubaishat, A., Khan, M. S., & Shah, B. (2021). COVID-19 Patient Count Prediction Using LSTM. IEEE Transactions on Computational Social Systems. https://doi.org/10.1109/tcss.2021.3056769
Source records
- crossref · retrieved 2026-11-10T13:54:38.551Z