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Mahboubeh Ghazali, Tooraj Honar & Mohammad Reza Nikoo. (2018) A fusion-based neural network methodology for monthly reservoir inflow prediction using MODIS products. Hydrological Sciences Journal 63:15-16, pages 2076-2096.
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Feiqing Jiang, Zengchuan Dong, Zeng'an Wang, Yiqing Zhu, Moyang Liu, Yun Luo & Tianyan Zhang. (2021) Flood forecasting using an improved NARX network based on wavelet analysis coupled with uncertainty analysis by Monte Carlo simulations: a case study of Taihu Basin, China. Journal of Water and Climate Change 12:6, pages 2674-2696.
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Jaewon Jung, Hyelim Mo, Junhyeong Lee, Younghoon Yoo & Hung Soo Kim. (2021) Flood Stage Forecasting at the Gurye-Gyo Station in Sumjin River Using LSTM-Based Deep Learning Models. Journal of the Korean Society of Hazard Mitigation 21:3, pages 193-201.
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Susanna Dazzi, Renato Vacondio & Paolo Mignosa. (2021) Flood Stage Forecasting Using Machine-Learning Methods: A Case Study on the Parma River (Italy). Water 13:12, pages 1612.
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Fabio Di Di Nunno, Francesco Granata, Rudy Gargano & Giovanni de de Marinis. (2021) Forecasting of Extreme Storm Tide Events Using NARX Neural Network-Based Models. Atmosphere 12:4, pages 512.
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Md. Abdul Khalek, Md. Mostafizur Rahman, Md. Kamruzzaman, Zubair Ahmed Shimon, M. Sayedur Rahman & Md. Ayub Ali. 2021. Climate Vulnerability and Resilience in the Global South. Climate Vulnerability and Resilience in the Global South
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Vahid Nourani, Gholamreza Andalib, Fahreddin Sadikoglu & Elnaz Sharghi. (2018) Cascade-based multi-scale AI approach for modeling rainfall-runoff process. Hydrology Research 49:4, pages 1191-1207.
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Vahid Nourani, Gholamreza Andalib & Fahreddin Sadikoglu. (2017) Multi-station streamflow forecasting using wavelet denoising and artificial intelligence models. Procedia Computer Science 120, pages 617-624.
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