District Level Covid Case Prediction using LSTM Models. Katarya, R., Anjum, Yadav, M., & Rai, V. In ICCCNT, pages 1-5, 2022. IEEE.
District Level Covid Case Prediction using LSTM Models. [link]Link  District Level Covid Case Prediction using LSTM Models. [link]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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