Forecasting Long-Series Daily Reference Evapotranspiration Based on Best Subset Regression and Machine Learning in Egypt

Estimation of Linear Regression with the Dimensional Analysis Method

(2022) Luis Pérez-Domínguez et al.   Mathematics

Data intelligence and hybrid metaheuristic algorithms-based estimation of reference evapotranspiration

(2022) Ahmed Elbeltagi et al.   Applied Water Science

Modelling and prediction of surface roughness in wire arc additive manufacturing using machine learning

(2021) Chunyang Xia et al.   JOURNAL OF INTELLIGENT MANUFACTURING

On the use of machine learning based ensemble approaches to improve evapotranspiration estimates from croplands across a wide environmental gradient

(2021) Yun Bai et al.   AGRICULTURAL AND FOREST METEOROLOGY

Modeling reference evapotranspiration using a novel regression-based method: radial basis M5 model tree

(2021) Ozgur Kisi et al.   THEORETICAL AND APPLIED CLIMATOLOGY

Data Intelligence Model and Meta-Heuristic Algorithms-Based Pan Evaporation Modelling in Two Different Agro-Climatic Zones: A Case Study from Northern India

(2021) Nand Lal Kushwaha et al.   Atmosphere

Prediction of actual evapotranspiration by artificial neural network models using data from a Bowen ratio energy balance station

(2020) Spencer Walls et al.   NEURAL COMPUTING & APPLICATIONS

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

Artificial intelligence models versus empirical equations for modeling monthly reference evapotranspiration

(2020) Yazid Tikhamarine et al.   ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH

Using multiple linear regression and random forests to identify spatial poverty determinants in rural China

(2020) Mengxiao Liu et al.   Spatial Statistics

Daily Water Level Prediction of Zrebar Lake (Iran): A Comparison between M5P, Random Forest, Random Tree and Reduced Error Pruning Trees Algorithms

(2020) Viet-Ha Nhu et al.   ISPRS International Journal of Geo-Information

Performance Evaluation of Deep Learning-Based Gated Recurrent Units (GRUs) and Tree-Based Models for Estimating ETo by Using Limited Meteorological Variables

(2020) Mohammad Taghi Sattari et al.   Mathematics

New machine learning approaches to improve reference evapotranspiration estimates using intra-daily temperature-based variables in a semi-arid region of Spain

(2020) Juan Antonio Bellido-Jiménez et al.   AGRICULTURAL WATER MANAGEMENT

Evapotranspiration evaluation models based on machine learning algorithms—A comparative study

(2019) Francesco Granata   AGRICULTURAL WATER MANAGEMENT

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

(2019) Guomin Huang et al.   JOURNAL OF HYDROLOGY

A Hybrid Data-Driven Machine Learning Technique for Evapotranspiration Modeling in Various Climates

(2019) Mohammad Valipour et al.   Atmosphere

Multi-station artificial intelligence based ensemble modeling of reference evapotranspiration using pan evaporation measurements

(2019) Vahid Nourani et al.   JOURNAL OF HYDROLOGY

River Stage Forecasting Using Multiple Additive Regression Trees

(2019) Jin-Cheng Fu et al.   WATER RESOURCES MANAGEMENT

Application of non-conventional soft computing approaches for estimation of reference evapotranspiration in various climatic regions

(2019) Ali Raza et al.   THEORETICAL AND APPLIED CLIMATOLOGY

Using gene expression programming in monthly reference evapotranspiration modeling: A case study in Egypt

(2018) Mohamed A. Mattar   AGRICULTURAL WATER MANAGEMENT

Reference evapotranspiration forecasting based on local meteorological and global climate information screened by partial mutual information

(2018) Wei Fang 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

Evaluation of artificial intelligence models for actual crop evapotranspiration modeling in mulched and non-mulched maize croplands

(2018) Dahua Tang et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Prediction of plant water status in almond and walnut trees using a continuous leaf monitoring system

(2018) R. Dhillon et al.   PRECISION AGRICULTURE

Leveraging the Google Earth Engine for Drought Assessment Using Global Soil Moisture Data

(2018) Nazmus Sazib et al.   Remote Sensing

Reference evapotranspiration estimation and modeling of the Punjab Northern India using deep learning

(2018) Mandeep Kaur Saggi et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Comparison of Random Subspace and Voting Ensemble Machine Learning Methods for Face Recognition

(2018) Mehmet Yaman et al.   Symmetry-Basel

Water temperature modelling: comparison between the generalized additive model, logistic, residuals regression and linear regression models

(2017) Fatima Laanaya et al.   HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES

Modelling of runoff and sediment yield using ANN, LS-SVR, REPTree and M5 models

(2017) Birendra Bharti et al.   HYDROLOGY RESEARCH

Modelling of runoff and sediment yield using ANN, LS-SVR, REPTree and M5 models

(2017) Birendra Bharti et al.   Hydrology Research

Deployment of artificial neural network for short-term forecasting of evapotranspiration using public weather forecast restricted messages

(2016) Seydou Traore et al.   AGRICULTURAL WATER MANAGEMENT

Comparative analysis of reference evapotranspiration equations modelling by extreme learning machine

(2016) Milan Gocic et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Extreme Learning Machines: A new approach for prediction of reference evapotranspiration

(2015) Shafika Sultan Abdullah et al.   JOURNAL OF HYDROLOGY

The impacts of climate change on river flood risk at the global scale

(2014) Nigel W. Arnell et al.   CLIMATIC CHANGE

Applicability of support vector machines and adaptive neurofuzzy inference system for modeling potato crop evapotranspiration

(2012) Hossein Tabari et al.   IRRIGATION SCIENCE

Prediction of daily crop reference evapotranspiration (ET0) values through a least-squares support vector machine model

(2011) Xianghong Guo et al.   HYDROLOGY RESEARCH

Modeling of Suspended Sediment Concentration at Kasol in India Using ANN, Fuzzy Logic, and Decision Tree Algorithms

(2011) A. R. Senthil Kumar et al.   JOURNAL OF HYDROLOGIC ENGINEERING

Forecasting daily potential evapotranspiration using machine learning and limited climatic data

(2010) Alfonso F. Torres et al.   AGRICULTURAL WATER MANAGEMENT

Sparse additive models

(2009) Pradeep Ravikumar et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY