Improving long-term streamflow prediction in a poorly gauged basin using geo-spatiotemporal mesoscale data and attention-based deep learning: A comparative study

Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting

Xingjian Shi, Zhourong Chen, Hao Wang et al. · arXiv (Cornell University) · 2015 · 6.6K citations · Full text

Hydrometeorology, Convolutional Neural Network, Convolutional Lstm +15

A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction

Yao Qin, Dongjin Song, Haifeng Chen et al. · 2017 · 1.3K citations · Full text

Forecasting Methodology, Sequence Modelling, Engineering +13

Short-term runoff prediction with GRU and LSTM networks without requiring time step optimization during sample generation

Shuai Gao, Yuefei Huang, Shuo Zhang et al. · Journal of Hydrology · 2020 · 634 citations

Surface Runoff, Engineering, Machine Learning +13

Artificial intelligence based models for stream-flow forecasting: 2000–2015

Zaher Mundher Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬, Ahmed El‐Shafie, Othman Jaafar et al. · Journal of Hydrology · 2015 · 555 citations

Artificial Intelligence, Engineering, Data Science +5

Short-term water quality variable prediction using a hybrid CNN–LSTM deep learning model

Rahim Barzegar, Mohammad Taghi Aalami, Jan Adamowski · Stochastic Environmental Research and Risk Assessment · 2020 · 521 citations

Convolutional Neural Network, Engineering, Machine Learning +7