Monthly Runoff Prediction by Hybrid CNN-LSTM Model: A Case Study

Dillip Kumar Ghose, Vinay Mahakur, Abinash Sahoo. Monthly Runoff Prediction by Hybrid CNN-LSTM Model: A Case Study. In Mayank Singh 0008, Vipin Tyagi, P. K. Gupta 0001, Jan Flusser, Tuncer I. Ören, editors, Advances in Computing and Data Sciences - 6th International Conference, ICACDS 2022, Kurnool, India, April 22-23, 2022, Revised Selected Papers, Part II. Volume 1614 of Communications in Computer and Information Science, pages 381-392, Springer, 2022. [doi]

@inproceedings{GhoseMS22,
  title = {Monthly Runoff Prediction by Hybrid CNN-LSTM Model: A Case Study},
  author = {Dillip Kumar Ghose and Vinay Mahakur and Abinash Sahoo},
  year = {2022},
  doi = {10.1007/978-3-031-12641-3_31},
  url = {https://doi.org/10.1007/978-3-031-12641-3_31},
  researchr = {https://researchr.org/publication/GhoseMS22},
  cites = {0},
  citedby = {0},
  pages = {381-392},
  booktitle = {Advances in Computing and Data Sciences - 6th International Conference, ICACDS 2022, Kurnool, India, April 22-23, 2022, Revised Selected Papers, Part II},
  editor = {Mayank Singh 0008 and Vipin Tyagi and P. K. Gupta 0001 and Jan Flusser and Tuncer I. Ören},
  volume = {1614},
  series = {Communications in Computer and Information Science},
  publisher = {Springer},
  isbn = {978-3-031-12641-3},
}