A hybrid model for Forecasting Biological Oxygen Demand using CEEMDAN-LSTM

Neha Pant, Durga Toshniwal, Bhola Ram Gurjar. A hybrid model for Forecasting Biological Oxygen Demand using CEEMDAN-LSTM. In Proceedings of the 1st ACM SIGSPATIAL International Workshop on Geocomputational Analysis of Socio-Economic Data, GeoSocial 2023, Hamburg, Germany, 13 November 2023. pages 24-27, ACM, 2023. [doi]

@inproceedings{PantTG23,
  title = {A hybrid model for Forecasting Biological Oxygen Demand using CEEMDAN-LSTM},
  author = {Neha Pant and Durga Toshniwal and Bhola Ram Gurjar},
  year = {2023},
  doi = {10.1145/3615892.3628481},
  url = {https://doi.org/10.1145/3615892.3628481},
  researchr = {https://researchr.org/publication/PantTG23},
  cites = {0},
  citedby = {0},
  pages = {24-27},
  booktitle = {Proceedings of the 1st ACM SIGSPATIAL International Workshop on Geocomputational Analysis of Socio-Economic Data, GeoSocial 2023, Hamburg, Germany, 13 November 2023},
  publisher = {ACM},
}