Directed graph deep neural network for multi-step daily streamflow forecasting

Fusing stacked autoencoder and long short-term memory for regional multistep-ahead flood inundation forecasts

(2021) I-Feng Kao et al.   JOURNAL OF HYDROLOGY

Artificial intelligence modelling integrated with Singular Spectral analysis and Seasonal-Trend decomposition using Loess approaches for streamflow predictions

(2021) Halit Apaydin et al.   JOURNAL OF HYDROLOGY

Predicting river dissolved oxygen time series based on stand-alone models and hybrid wavelet-based models

(2021) Chuang Xu et al.   JOURNAL OF ENVIRONMENTAL MANAGEMENT

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

(2020) Shuai Gao et al.   JOURNAL OF HYDROLOGY

Secondary Precipitation Estimate Merging Using Machine Learning: Development and Evaluation over Krishna River Basin, India

(2020) Venkatesh Kolluru et al.   Remote Sensing

A Comprehensive Survey on Graph Neural Networks

(2020) Zonghan Wu et al.   IEEE Transactions on Neural Networks and Learning Systems

Predicting flood susceptibility using LSTM neural networks

(2020) Zhice Fang et al.   JOURNAL OF HYDROLOGY

Streamflow and rainfall forecasting by two long short-term memory-based models

(2019) Lingling Ni et al.   JOURNAL OF HYDROLOGY

Deriving reservoir operation rule based on Bayesian deep learning method considering multiple uncertainties

(2019) Yongqi Liu et al.   JOURNAL OF HYDROLOGY

Monthly streamflow forecasting based on hidden Markov model and Gaussian Mixture Regression

(2018) Yongqi Liu et al.   JOURNAL OF HYDROLOGY

Developing reservoir monthly inflow forecasts using artificial intelligence and climate phenomenon information

(2017) Tiantian Yang et al.   WATER RESOURCES RESEARCH

Efficient estimation of flood forecast prediction intervals via single- and multi-objective versions of the LUBE method

(2016) Lei Ye et al.   HYDROLOGICAL PROCESSES

Ensemble forecasting of sub-seasonal to seasonal streamflow by a Bayesian joint probability modelling approach

(2016) Tongtiegang Zhao et al.   JOURNAL OF HYDROLOGY

Are hybrid models integrated with data preprocessing techniques suitable for monthly streamflow forecasting? Some experiment evidences

(2015) Xiaoli Zhang et al.   JOURNAL OF HYDROLOGY

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

(2015) Zaher Mundher Yaseen et al.   JOURNAL OF HYDROLOGY

Monthly streamflow forecasting using Gaussian Process Regression

(2014) Alexander Y. Sun et al.   JOURNAL OF HYDROLOGY

3D Convolutional Neural Networks for Human Action Recognition

(2012) Shuiwang Ji et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Lower Upper Bound Estimation Method for Construction of Neural Network-Based Prediction Intervals

(2010) A Khosravi et al.   IEEE TRANSACTIONS ON NEURAL NETWORKS

Predicting monthly streamflow using data-driven models coupled with data-preprocessing techniques

(2009) C. L. Wu et al.   WATER RESOURCES RESEARCH