Feizi, H. Et Al. 2022. Improving reservoir inflow prediction via rolling window and deep learning-based multi-model approach: case study from Ermenek Dam, Turkey. STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT , vol.36, no.10 , 3149-3169.

Feizi, H., Apaydın, H., Sattari, M. T., Colak, M. S., & Sibtain, M., (2022). Improving reservoir inflow prediction via rolling window and deep learning-based multi-model approach: case study from Ermenek Dam, Turkey. STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT , vol.36, no.10, 3149-3169.

Feizi, Hajar Et Al. "Improving reservoir inflow prediction via rolling window and deep learning-based multi-model approach: case study from Ermenek Dam, Turkey," STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT , vol.36, no.10, 3149-3169, 2022

Feizi, Hajar Et Al. "Improving reservoir inflow prediction via rolling window and deep learning-based multi-model approach: case study from Ermenek Dam, Turkey." STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT , vol.36, no.10, pp.3149-3169, 2022

Feizi, H. Et Al. (2022) . "Improving reservoir inflow prediction via rolling window and deep learning-based multi-model approach: case study from Ermenek Dam, Turkey." STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT , vol.36, no.10, pp.3149-3169.

@article{article, author={Hajar Feizi Et Al. }, title={Improving reservoir inflow prediction via rolling window and deep learning-based multi-model approach: case study from Ermenek Dam, Turkey}, journal={STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT}, year=2022, pages={3149-3169} }