A Comparative Analysis of Multivariate Statistical Time Series Models for Water Quality Forecasting of the River Ganga
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Publisher
Springer Nature Singapore
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https://link.springer.com/content/pdf/10.1007/978-981-19-6068-0_41
Reference15 articles.
1. Ahmed, A.N., et al.: Machine learning methods for better water quality prediction. J. Hydrol. 578, 124084 (2019)
2. Ahmad, I., Chaurasia, S.: Water quality index of Ganga river at Kanpur (UP). Themat. J Geogr 8(11), 66–77 (2019)
3. Kogekar, A.P., Nayak, R., Pati, U.C.: Forecasting of water quality for the River Ganga using univariate time-series models. In: 2021 8th International Conference on Smart Computing and Communications (ICSCC), pp. 52–57 (2021)
4. Kogekar, A.P., Nayak, R., Pati, U.C.: A CNN-BiLSTM-SVR based deep hybrid model for water quality forecasting of the River Ganga. In: 2021 IEEE 18th India Council International Conference (INDICON), pp. 1–6 (2021)
5. Kogekar, A.P., Nayak, R., Pati, U.C.: A CNN-GRU-SVR based deep hybrid model for water quality forecasting of the River Ganga. In: 2021 International Conference on Artificial Intelligence and Machine Vision (AIMV), pp. 1–6 (2021)
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