Using Optimized Deep Learning to Predict Daily Streamflow: A Comparison to Common Machine Learning Algorithms

Weighted instances handler wrapper and rotation forest-based hybrid algorithms for sediment transport modeling

(2021) Katayoun Kargar et al.   JOURNAL OF HYDROLOGY

Cumulative infiltration and infiltration rate prediction using optimized deep learning algorithms: A study in Western Iran

(2021) Mahdi Panahi et al.   Journal of Hydrology-Regional Studies

Monthly Streamflow Forecasting Using Convolutional Neural Network

(2021) Xingsheng Shu et al.   WATER RESOURCES MANAGEMENT

Toward the development of deep learning analyses for snow avalanche releases in mountain regions

(2021) Yunzhi Chen et al.   Geocarto International

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

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

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

(2020) Rahim Barzegar et al.   STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT

Hourly River Flow Forecasting: Application of Emotional Neural Network Versus Multiple Machine Learning Paradigms

(2020) Zaher Mundher Yaseen et al.   WATER RESOURCES MANAGEMENT

Machine learning techniques for monthly river flow forecasting of Hunza River, Pakistan

(2020) Dostdar Hussain et al.   Earth Science Informatics

Convolutional neural network approach for spatial prediction of flood hazard at national scale of Iran

(2020) Khabat Khosravi et al.   JOURNAL OF HYDROLOGY

Monthly streamflow forecasting using neuro-wavelet techniques and input analysis

(2019) André Gustavo da Silva Melo Honorato et al.   HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES

Evaluation of Different Machine Learning Methods and Deep-Learning Convolutional Neural Networks for Landslide Detection

(2019) Omid Ghorbanzadeh et al.   Remote Sensing

Deep Convolutional Neural Network for Flood Extent Mapping Using Unmanned Aerial Vehicles Data

(2019) Asmamaw Gebrehiwot et al.   SENSORS

CNNpred: CNN-based stock market prediction using a diverse set of variables

(2019) Ehsan Hoseinzade et al.   EXPERT SYSTEMS WITH APPLICATIONS

Hybrid Wavelet-M5 Model Tree for Rainfall-Runoff Modeling

(2019) Vahid Nourani et al.   JOURNAL OF HYDROLOGIC ENGINEERING

Development of multivariate adaptive regression spline integrated with differential evolution model for streamflow simulation

(2019) Zainab Abdulelah Al-Sudani et al.   JOURNAL OF HYDROLOGY

Enhancing streamflow forecasting using the augmenting ensemble procedure coupled machine learning models: case study of Aswan High Dam

(2019) Mohammad Rezaie-Balf et al.   HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES

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

The Feasibility of Integrative Radial Basis M5Tree Predictive Model for River Suspended Sediment Load Simulation

(2019) Hai Tao et al.   WATER RESOURCES MANAGEMENT

Meteorological data mining and hybrid data-intelligence models for reference evaporation simulation: A case study in Iraq

(2019) Khabat Khosravi et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Flood susceptibility mapping using convolutional neural network frameworks

(2019) Yi Wang et al.   JOURNAL OF HYDROLOGY

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

(2018) Hakan Tongal et al.   JOURNAL OF HYDROLOGY

River suspended sediment modelling using the CART model: A comparative study of machine learning techniques

(2018) Bahram Choubin et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Forecasting Daily Streamflow for Basins with Different Physical Characteristics through Data-Driven Methods

(2018) Sinan Jasim Hadi et al.   WATER RESOURCES MANAGEMENT

Design and evaluation of SVR, MARS and M5Tree models for 1, 2 and 3-day lead time forecasting of river flow data in a semiarid mountainous catchment

(2018) Zhenliang Yin et al.   STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT

Learning from Multiple Models Using Artificial Intelligence to Improve Model Prediction Accuracies: Application to River Flows

(2018) M. A. Ghorbani et al.   WATER RESOURCES MANAGEMENT

Stream Flow Forecasting of Poorly Gauged Mountainous Watershed by Least Square Support Vector Machine, Fuzzy Genetic Algorithm and M5 Model Tree Using Climatic Data from Nearby Station

(2018) Rana Muhammad Adnan et al.   WATER RESOURCES MANAGEMENT

A hybrid support vector regression framework for streamflow forecast

(2018) Xiangang Luo et al.   JOURNAL OF HYDROLOGY

Complementary data-intelligence model for river flow simulation

(2018) Zaher Mundher Yaseen et al.   JOURNAL OF HYDROLOGY

Adaptive Neuro-Fuzzy Inference System integrated with solar zenith angle for forecasting sub-tropical Photosynthetically Active Radiation

(2018) Ravinesh C. Deo et al.   Food and Energy Security

Streamflow and Sediment Yield Prediction for Watershed Prioritization in the Upper Blue Nile River Basin, Ethiopia

(2017) Gebiaw Ayele et al.   Water

Evaluating the support vector machine for suspended sediment load forecasting based on gamma test

(2016) Sharareh Rashidi et al.   Arabian Journal of Geosciences

Application of least square support vector machine and multivariate adaptive regression spline models in long term prediction of river water pollution

(2016) Ozgur Kisi et al.   JOURNAL OF HYDROLOGY

Long-term runoff study using SARIMA and ARIMA models in the United States

(2015) Mohammad Valipour   METEOROLOGICAL APPLICATIONS

RBFNN versus FFNN for daily river flow forecasting at Johor River, Malaysia

(2015) Zaher Mundher Yaseen et al.   NEURAL COMPUTING & APPLICATIONS

Deep learning in neural networks: An overview

(2015) Jürgen Schmidhuber   NEURAL NETWORKS

Evolutionary algorithms and other metaheuristics in water resources: Current status, research challenges and future directions

(2014) H.R. Maier et al.   ENVIRONMENTAL MODELLING & SOFTWARE

Bat algorithm: literature review and applications

(2013) Xin She Yang et al.   International Journal of Bio-Inspired Computation

Modeling rainfall-runoff process using soft computing techniques

(2012) Ozgur Kisi et al.   COMPUTERS & GEOSCIENCES

Estimation of Daily Suspended Sediment Load by Using Wavelet Conjunction Models

(2012) Jalal Shiri et al.   JOURNAL OF HYDROLOGIC ENGINEERING

Evaluation of hybrid forecasting approaches for wind speed and power generation time series

(2012) Jing Shi et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Suspended sediment load prediction of river systems: An artificial neural network approach

(2011) A.M. Melesse et al.   AGRICULTURAL WATER MANAGEMENT

Improving long-range hydrological forecasts with extended Kalman filters

(2011) Getnet Y. Muluye   HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES