Reference evapotranspiration estimation using machine learning approaches for arid and semi-arid regions of India

Predictive Modelling of Reference Evapotranspiration Using Machine Learning Models Coupled with Grey Wolf Optimizer

(2023) Pangam Heramb et al.   Water

Daily Prediction and Multi-Step Forward Forecasting of Reference Evapotranspiration Using LSTM and Bi-LSTM Models

(2022) Dilip Kumar Roy et al.   Agronomy-Basel

Optimization of extreme learning machine model with biological heuristic algorithms to estimate daily reference evapotranspiration in Hetao Irrigation District of China

(2022) Huaijie He et al.   Engineering Applications of Computational Fluid Mechanics

Exploring the potential of deep factorization machine and various gradient boosting models in modeling daily reference evapotranspiration in China

(2021) Zhigao Zhou et al.   Arabian Journal of Geosciences

Extreme gradient boosting (Xgboost) model to predict the groundwater levels in Selangor Malaysia

(2021) Ahmedbahaaaldin Ibrahem Ahmed Osman et al.   Ain Shams Engineering Journal

Identifying major drivers of daily streamflow from large-scale atmospheric circulation with machine learning

(2021) Jenny Sjåstad Hagen et al.   JOURNAL OF HYDROLOGY

Reference evapotranspiration of Brazil modeled with machine learning techniques and remote sensing

(2021) Santos Henrique Brant Dias et al.   PLoS One

Comprehensive evaluation of machine learning models for suspended sediment load inflow prediction in a reservoir

(2021) Muhammad Bilal Idrees et al.   STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT

Hyper-parameter tuned light gradient boosting machine using memetic firefly algorithm for hand gesture recognition

(2021) Janmenjoy Nayak et al.   APPLIED SOFT COMPUTING

Evaluation of stacking and blending ensemble learning methods for estimating daily reference evapotranspiration

(2021) Tianao Wu et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Improving daily stochastic streamflow prediction: Comparison of novel hybrid data mining algorithms

(2021) Khabat Khosravi et al.   HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES

Modeling of pan evaporation based on the development of machine learning methods

(2021) Mustafa Al-Mukhtar   THEORETICAL AND APPLIED CLIMATOLOGY

Modeling Pan Evaporation Using Gaussian Process Regression K-Nearest Neighbors Random Forest and Support Vector Machines; Comparative Analysis

(2020) Sevda Shabani et al.   Atmosphere

New approach to estimate daily reference evapotranspiration based on hourly temperature and relative humidity using machine learning and deep learning

(2020) Lucas Borges Ferreira et al.   AGRICULTURAL WATER MANAGEMENT

On the complexities of sediment load modeling using integrative machine learning: Application of the great river of Loíza in Puerto Rico

(2020) Mohammad Zounemat-Kermani et al.   JOURNAL OF HYDROLOGY

Comparison of five Boosting-based models for estimating daily reference evapotranspiration with limited meteorological variables

(2020) Tianao Wu et al.   PLoS One

Application of Artificial Neural Networks, Support Vector Machine and Multiple Model-ANN to Sediment Yield Prediction

(2020) Sarita Gajbhiye Meshram et al.   WATER RESOURCES MANAGEMENT

A novel hybrid WOA-XGB model for estimating daily reference evapotranspiration using local and external meteorological data: Applications in arid and humid regions of China

(2020) Shicheng Yan et al.   AGRICULTURAL WATER MANAGEMENT

Comparison of neuron-based, kernel-based, tree-based and curve-based machine learning models for predicting daily reference evapotranspiration

(2019) Lifeng Wu et al.   PLoS One

Light Gradient Boosting Machine: An efficient soft computing model for estimating daily reference evapotranspiration with local and external meteorological data

(2019) Junliang Fan et al.   AGRICULTURAL WATER MANAGEMENT

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

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

(2018) Hakan Tongal et al.   JOURNAL OF HYDROLOGY

Evaluation of SVM, ELM and four tree-based ensemble models for predicting daily reference evapotranspiration using limited meteorological data in different climates of China

(2018) Junliang Fan et al.   AGRICULTURAL AND FOREST METEOROLOGY

Daily pan evaporation modeling from local and cross-station data using three tree-based machine learning models

(2018) Xianghui Lu et al.   JOURNAL OF HYDROLOGY

Comparison of ELM, GANN, WNN and empirical models for estimating reference evapotranspiration in humid region of Southwest China

(2016) Yu Feng et al.   JOURNAL OF HYDROLOGY

A random forest guided tour

(2016) Gérard Biau et al.   TEST

A random forest guided tour

(2016) Gérard Biau et al.   TEST

Consistency of random forests

(2015) Erwan Scornet et al.   ANNALS OF STATISTICS

Soft computing approaches for forecasting reference evapotranspiration

(2015) Milan Gocić et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Simple ET0 Forms of Penman’s Equation without Wind and/or Humidity Data. II: Comparisons with Reduced Set-FAO and Other Methodologies

(2012) John D. Valiantzas   JOURNAL OF IRRIGATION AND DRAINAGE ENGINEERING