A Comparative Study on Forecasting of Long-term Daily Streamflow using ANN, ANFIS, BiLSTM and CNN-GRU-LSTM

Investigation of stage‐discharge model performance for streamflow estimating: A case study of the Gono River, Japan

(2023) Mahmoud F. Maghrebi et al.   RIVER RESEARCH AND APPLICATIONS

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

(2023) Fatemeh Bakhshi Ostadkalayeh et al.   WATER RESOURCES MANAGEMENT

Streamflow Prediction Utilizing Deep Learning and Machine Learning Algorithms for Sustainable Water Supply Management

(2023) Sarmad Dashti Latif et al.   WATER RESOURCES MANAGEMENT

Linear and stratified sampling-based deep learning models for improving the river streamflow forecasting to mitigate flooding disaster

(2022) Haitham Abdulmohsin Afan et al.   NATURAL HAZARDS

Short-Term Daily Univariate Streamflow Forecasting Using Deep Learning Models

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

Application of dimensional analysis and multi-gene genetic programming to predict the performance of tunnel boring machines

(2022) Majid Kazemi et al.   APPLIED SOFT COMPUTING

Optimized Model Inputs Selections for Enhancing River Streamflow Forecasting Accuracy Using Different Artificial Intelligence Techniques

(2022) Yahia Mutalib Tofiq et al.   WATER RESOURCES MANAGEMENT

Recent applications of machine learning and deep learning models in the prediction, diagnosis, and management of diabetes: a comprehensive review

(2022) Elaheh Afsaneh et al.   Diabetology & Metabolic Syndrome

A Comparative Study on Prediction of Monthly Streamflow Using Hybrid ANFIS-PSO Approaches

(2021) Sandeep Samanataray et al.   KSCE Journal of Civil Engineering

Streamflow prediction using an integrated methodology based on convolutional neural network and long short-term memory networks

(2021) Sujan Ghimire et al.   Scientific Reports

A hydrological model skill score and revised R-squared

(2021) Charles Onyutha   Hydrology Research

Parameter estimation and uncertainty analysis in hydrological modeling

(2021) Paulo A. Herrera et al.   Wiley Interdisciplinary Reviews-Water

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

(2019) Le et al.   Water

Simulation and forecasting of streamflows using machine learning models coupled with base flow separation

(2018) Hakan Tongal et al.   JOURNAL OF HYDROLOGY

Optimal design of labyrinth spillways using meta-heuristic algorithms

(2015) Khosrow Hosseini et al.   KSCE Journal of Civil Engineering

Multi-step streamflow forecasting using data-driven non-linear methods in contrasting climate regimes

(2015) Daniel J. Karran et al.   JOURNAL OF HYDROINFORMATICS

Tree-based iterative input variable selection for hydrological modeling

(2013) S. Galelli et al.   WATER RESOURCES RESEARCH

Evapotranspiration estimation by two different neuro-fuzzy inference systems

(2011) Murat Cobaner   JOURNAL OF HYDROLOGY

Comparing Sigmoid Transfer Functions for Neural Network Multistep Ahead Streamflow Forecasting

(2010) H. Yonaba et al.   JOURNAL OF HYDROLOGIC ENGINEERING

Evaporation estimation using artificial neural networks and adaptive neuro-fuzzy inference system techniques

(2008) A. Moghaddamnia et al.   ADVANCES IN WATER RESOURCES