Daily Scale River Flow Forecasting Using Hybrid Gradient Boosting Model with Genetic Algorithm Optimization

Design data decomposition-based reference evapotranspiration forecasting model: A soft feature filter based deep learning driven approach

(2023) Zihao Zheng et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Machine learning exploration of the mobility and environmental assessment of toxic elements in mining-associated solid wastes

(2023) Chongchong Qi et al.   Journal of Cleaner Production

Daily Streamflow Forecasting Based on the Hybrid Particle Swarm Optimization and Long Short-Term Memory Model in the Orontes Basin

(2022) Huseyin Cagan Kilinc   Water

A novel intelligent deep learning predictive model for meteorological drought forecasting

(2022) Ali Danandeh Mehr et al.   Journal of Ambient Intelligence and Humanized Computing

Investigation of the Effect of Climate Change on Energy Produced by Hydroelectric Power Plants (HEPPs) by Trend Analysis Method: A Case Study for Dogancay I–II HEPPs

(2022) Gokmen Ceribasi et al.   Energies

Interpretable tree-based ensemble model for predicting beach water quality

(2022) Lingbo Li et al.   WATER RESEARCH

Short-Term Streamflow Forecasting Using Hybrid Deep Learning Model Based on Grey Wolf Algorithm for Hydrological Time Series

(2022) Huseyin Cagan Kilinc et al.   Sustainability

Forecasting weekly reference evapotranspiration using Auto Encoder Decoder Bidirectional LSTM model hybridized with a Boruta-CatBoost input optimizer

(2022) Masoud Karbasi et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Development of a hybrid computational intelligent model for daily global solar radiation prediction

(2022) Leonardo Goliatt et al.   EXPERT SYSTEMS WITH APPLICATIONS

Improving Annual Streamflow Prediction by Extracting Information from High-frequency Components of Streamflow

(2022) Lili Wang et al.   WATER RESOURCES MANAGEMENT

Prediction of Dichloroethene Concentration in the Groundwater of a Contaminated Site Using XGBoost and LSTM

(2022) Feiyang Xia et al.   International Journal of Environmental Research and Public Health

Forecasting multi-step-ahead reservoir monthly and daily inflow using machine learning models based on different scenarios

(2022) Karim Sherif Mostafa Hassan Ibrahim et al.   APPLIED INTELLIGENCE

Do AI Models Improve Taper Estimation? A Comparative Approach for Teak

(2022) Víctor Hugo Fernández-Carrillo et al.   Forests

A Comprehensive Approach to Develop a Hydrological Model for the Simulation of All the Important Hydrological Components: The Case of the Three-River Headwater Region, China

(2022) Rashid Mahmood et al.   Water

Identifying Climate Change Impacts On Hydrological Behavior On Large-Scale With Machine Learning Algorithms

(2022) Aleksander M. Ivanov et al.   Geography, Environment, Sustainability

Prediction of fluctuation loads based on GARCH family-CatBoost-CNNLSTM

(2022) Huibin Zeng et al.   ENERGY

Ensemble machine learning paradigms in hydrology: A review

(2021) Mohammad Zounemat-Kermani et al.   JOURNAL OF HYDROLOGY

Variational Mode Decomposition Hybridized With Gradient Boost Regression for Seasonal Forecast of Residential Water Demand

(2021) Taís Maria Nunes Carvalho et al.   WATER RESOURCES MANAGEMENT

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 review on flood management technologies related to image processing and machine learning

(2021) Hafiz Suliman Munawar et al.   AUTOMATION IN CONSTRUCTION

A Machine-Learning Approach Combining Wavelet Packet Denoising with Catboost for Weather Forecasting

(2021) Dan Niu et al.   Atmosphere

A Hybrid Model Based on Variational Mode Decomposition and Gradient Boosting Regression Tree for Monthly Runoff Forecasting

(2020) Xinxin He et al.   WATER RESOURCES MANAGEMENT

Use of Diatoms in Monitoring the Sakarya River Basin, Turkey

(2020) Cüneyt Nadir Solak et al.   Water

CatBoost: A new approach for estimating daily reference crop evapotranspiration in arid and semi-arid regions of Northern China

(2020) Yixiao Zhang et al.   JOURNAL OF HYDROLOGY

Forecasting models for daily natural gas consumption considering periodic variations and demand segregation

(2020) Ergun Yukseltan et al.   SOCIO-ECONOMIC PLANNING SCIENCES

Evaluation of CatBoost method for prediction of reference evapotranspiration in humid regions

(2019) Guomin Huang et al.   JOURNAL OF HYDROLOGY

Hybrid machine learning framework for hydrological assessment

(2019) Jungho Kim et al.   JOURNAL OF HYDROLOGY

Hybrid forecasting model for non-stationary daily runoff series: A case study in the Han River Basin, China

(2019) Tuo Xie et al.   JOURNAL OF HYDROLOGY

Comparison of Support Vector Machine and Extreme Gradient Boosting for predicting daily global solar radiation using temperature and precipitation in humid subtropical climates: A case study in China

(2018) Junliang Fan et al.   ENERGY CONVERSION AND MANAGEMENT

An enhanced extreme learning machine model for river flow forecasting: State-of-the-art, practical applications in water resource engineering area and future research direction

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