Performance Improvement of LSTM-based Deep Learning Model for Streamflow Forecasting Using Kalman Filtering

Short-Term Daily Univariate Streamflow Forecasting Using Deep Learning Models

(2022) Eyob Betru Wegayehu et al.   Advances in Meteorology

Estimation of infiltration rate using data-driven models

(2021) Alireza Sepahvand et al.   Arabian Journal of Geosciences

MSGP-LASSO: An improved multi-stage genetic programming model for streamflow prediction

(2021) Ali Danandeh Mehr et al.   INFORMATION SCIENCES

Performance Comparison of an LSTM-based Deep Learning Model versus Conventional Machine Learning Algorithms for Streamflow Forecasting

(2021) Maryam Rahimzad et al.   WATER RESOURCES MANAGEMENT

A novel attention-based LSTM cell post-processor coupled with bayesian optimization for streamflow prediction

(2021) Babak Alizadeh et al.   JOURNAL OF HYDROLOGY

Research on Precipitation Forecast Based on LSTM–CP Combined Model

(2021) Yan Guo et al.   Sustainability

Factor extraction using Kalman filter and smoothing: This is not just another survey

(2021) Pilar Poncela et al.   INTERNATIONAL JOURNAL OF FORECASTING

Improving prediction of water quality indices using novel hybrid machine-learning algorithms

(2020) Duie Tien Bui et al.   SCIENCE OF THE TOTAL ENVIRONMENT

The Applicability of LSTM-KNN Model for Real-Time Flood Forecasting in Different Climate Zones in China

(2020) Moyang Liu et al.   Water

Complexity to Forecast Flood: Problem Definition and Spatiotemporal Attention LSTM Solution

(2020) Yirui Wu et al.   COMPLEXITY

Predicting flood susceptibility using LSTM neural networks

(2020) Zhice Fang et al.   JOURNAL OF HYDROLOGY

A Comparative Study of MLR, KNN, ANN and ANFIS Models with Wavelet Transform in Monthly Stream Flow Prediction

(2019) Ahmad Khazaee Poul et al.   WATER RESOURCES MANAGEMENT

Daily streamflow prediction using optimally pruned extreme learning machine

(2019) Rana Muhammad Adnan et al.   JOURNAL OF HYDROLOGY

Least square support vector machine and multivariate adaptive regression splines for streamflow prediction in mountainous basin using hydro-meteorological data as inputs

(2019) Rana Muhammad Adnan 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

Flood-Prone Area Assessment Using GIS-Based Multi-Criteria Analysis: A Case Study in Davao Oriental, Philippines

(2019) Cabrera et al.   Water

Flash Flood Forecasting Based on Long Short-Term Memory Networks

(2019) Tianyu Song et al.   Water

Developing a Long Short-Term Memory (LSTM) based model for predicting water table depth in agricultural areas

(2018) Jianfeng Zhang 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

Application of the Hybrid Artificial Neural Network Coupled with Rolling Mechanism and Grey Model Algorithms for Streamflow Forecasting Over Multiple Time Horizons

(2018) Zaher Mundher Yaseen et al.   WATER RESOURCES MANAGEMENT

Modeling and simulating of reservoir operation using the artificial neural network, support vector regression, deep learning algorithm

(2018) Di Zhang et al.   JOURNAL OF HYDROLOGY

Examining the applicability of different sampling techniques in the development of decomposition-based streamflow forecasting models

(2018) Wei Fang et al.   JOURNAL OF HYDROLOGY

Deep Learning with a Long Short-Term Memory Networks Approach for Rainfall-Runoff Simulation

(2018) Caihong Hu et al.   Water

Short‐Term Precipitation Forecast Based on the PERSIANN System and LSTM Recurrent Neural Networks

(2018) Ata Akbari Asanjan et al.   JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES

Novel approach for streamflow forecasting using a hybrid ANFIS-FFA model

(2017) Zaher Mundher Yaseen et al.   JOURNAL OF HYDROLOGY

Review of the Kalman-type hydrological data assimilation

(2016) Leqiang Sun et al.   HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES

Stream-flow forecasting using extreme learning machines: A case study in a semi-arid region in Iraq

(2016) Zaher Mundher Yaseen et al.   JOURNAL OF HYDROLOGY

Non-tuned machine learning approach for hydrological time series forecasting

(2016) Zaher Mundher Yaseen et al.   NEURAL COMPUTING & APPLICATIONS

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

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