District Level Covid Case Prediction using LSTM Models. Katarya, R., Anjum, Yadav, M., & Rai, V. In ICCCNT, pages 1-5, 2022. IEEE.
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Paper bibtex @inproceedings{conf/icccnt/KataryaAYR22,
added-at = {2023-01-11T00:00:00.000+0100},
author = {Katarya, Rahul and Anjum and Yadav, Madhuri and Rai, Varang},
biburl = {https://www.bibsonomy.org/bibtex/2ed0d7b1f25f9293a59fb7224d9edc859/dblp},
booktitle = {ICCCNT},
crossref = {conf/icccnt/2022},
ee = {https://doi.org/10.1109/ICCCNT54827.2022.9984301},
interhash = {9fd99d8d1bba40160757379abff68acc},
intrahash = {ed0d7b1f25f9293a59fb7224d9edc859},
isbn = {978-1-6654-5262-5},
keywords = {dblp},
pages = {1-5},
publisher = {IEEE},
timestamp = {2024-04-09T23:38:29.000+0200},
title = {District Level Covid Case Prediction using LSTM Models.},
url = {http://dblp.uni-trier.de/db/conf/icccnt/icccnt2022.html#KataryaAYR22},
year = 2022
}
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