A hybrid deep learning algorithm and its application to streamflow prediction

Machine learning based identification of dominant controls on runoff dynamics

(2020) Henning Oppel et al.   HYDROLOGICAL PROCESSES

Decomposition ensemble model based on variational mode decomposition and long short-term memory for streamflow forecasting

(2020) Ganggang Zuo et al.   JOURNAL OF HYDROLOGY

Exploring a Long Short-Term Memory based Encoder-Decoder Framework for Multi-Step-Ahead Flood Forecasting

(2020) I-Feng Kao et al.   JOURNAL OF HYDROLOGY

Stochastic simulation on reproducing long-term memory of hydroclimatological variables using deep learning model

(2020) Taesam Lee et al.   JOURNAL OF HYDROLOGY

Deep Learning, Hydrological Processes and the Uniqueness of Place

(2020) Keith Beven   HYDROLOGICAL PROCESSES

Evaluating the usage of tree-based ensemble methods in groundwater spring potential mapping

(2020) Wei Chen et al.   JOURNAL OF HYDROLOGY

Enhancing streamflow forecast and extracting insights using long‐short term memory networks with data integration at continental scales

(2020) Dapeng Feng et al.   WATER RESOURCES RESEARCH

Modelling infiltration rates in permeable stormwater channels using soft computing techniques *

(2020) Zaher Mundher Yaseen et al.   IRRIGATION AND DRAINAGE

Two-phase extreme learning machines integrated with the complete ensemble empirical mode decomposition with adaptive noise algorithm for multi-scale runoff prediction problems

(2019) Xiaohu Wen et al.   JOURNAL OF HYDROLOGY

Comparative applications of data-driven models representing water table fluctuations

(2019) Jina Jeong et al.   JOURNAL OF HYDROLOGY

Application of Bayesian framework for evaluation of streamflow simulations using multiple climate models

(2019) Kevin O. Achieng et al.   JOURNAL OF HYDROLOGY

Forecasting Groundwater Table in a Flood Prone Coastal City with Long Short-term Memory and Recurrent Neural Networks

(2019) Benjamin D. Bowes et al.   Water

Application of Long Short-Term Memory (LSTM) Neural Network for Flood Forecasting

(2019) Le et al.   Water

Hydrological modelling of karst catchment using lumped conceptual and data mining models

(2019) Cenk Sezen et al.   JOURNAL OF HYDROLOGY

Flood susceptibility modelling using novel hybrid approach of reduced-error pruning trees with bagging and random subspace ensembles

(2019) Wei Chen et al.   JOURNAL OF HYDROLOGY

An adaptive middle and long-term runoff forecast model using EEMD-ANN hybrid approach

(2018) Qiao-Feng Tan et al.   JOURNAL OF HYDROLOGY

Exploring the spatio-temporal interrelation between groundwater and surface water by using the self-organizing maps

(2018) I-Ting Chen et al.   JOURNAL OF HYDROLOGY

Use long short-term memory to enhance Internet of Things for combined sewer overflow monitoring

(2018) Duo Zhang et al.   JOURNAL OF HYDROLOGY

An accident diagnosis algorithm using long short-term memory

(2018) Jaemin Yang et al.   Nuclear Engineering and Technology

Monthly runoff forecasting based on LSTM–ALO model

(2018) Xiaohui Yuan et al.   STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT

A data-driven model based on Fourier transform and support vector regression for monthly reservoir inflow forecasting

(2018) Xiang Yu et al.   Journal of Hydro-environment Research

Research on a feature selection method based on median impact value for modeling in thermal power plants

(2016) Minfang Qi et al.   APPLIED THERMAL ENGINEERING

Forecasting daily river flows using nonlinear time series models

(2015) Esmail Amiri   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

Monthly streamflow prediction using modified EMD-based support vector machine

(2014) Shengzhi Huang et al.   JOURNAL OF HYDROLOGY

River Discharges Forecasting In Northern Iraq Using Different ANN Techniques

(2014) Taymoor A. Awchi   WATER RESOURCES MANAGEMENT

Performance assessment of a Bayesian Forecasting System (BFS) for real-time flood forecasting

(2012) D. Biondi et al.   JOURNAL OF HYDROLOGY

Comparison of the ARMA, ARIMA, and the autoregressive artificial neural network models in forecasting the monthly inflow of Dez dam reservoir

(2012) Mohammad Valipour et al.   JOURNAL OF HYDROLOGY

A comparative study of artificial neural networks and support vector machines for predicting groundwater levels in a coastal aquifer

(2010) Heesung Yoon et al.   JOURNAL OF HYDROLOGY