Comparing the Soil Conservation Service model with new machine learning algorithms for predicting cumulative infiltration in semi-arid regions

Reliable solar irradiance prediction using ensemble learning-based models: A comparative study

(2020) Junho Lee et al.   ENERGY CONVERSION AND MANAGEMENT

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

(2020) Dostdar Hussain et al.   Earth Science Informatics

A stochastic wavelet-based data-driven framework for forecasting uncertain multiscale hydrological and water resources processes

(2020) John Quilty et al.   ENVIRONMENTAL MODELLING & SOFTWARE

Modelling infiltration rates in permeable stormwater channels using soft computing techniques *

(2020) Zaher Mundher Yaseen et al.   IRRIGATION AND DRAINAGE

Determination of compound channel apparent shear stress: application of novel data mining models

(2019) Zohreh Sheikh Khozani et al.   JOURNAL OF HYDROINFORMATICS

A Brief Review of Random Forests for Water Scientists and Practitioners and Their Recent History in Water Resources

(2019) Hristos Tyralis et al.   Water

Support Vector Regression Integrated with Fruit Fly Optimization Algorithm for River Flow Forecasting in Lake Urmia Basin

(2019) Saeed Samadianfard et al.   Water

Using bootstrap ELM and LSSVM models to estimate river ice thickness in the Mackenzie River Basin in the Northwest Territories, Canada

(2019) Rahim Barzegar 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

Regional Analysis of Flow Duration Curves through Support Vector Regression

(2019) Mehdi Vafakhah et al.   WATER RESOURCES MANAGEMENT

Spatial analysis of infiltration in agricultural lands in arid areas of Iran

(2018) Fariba Babaei et al.   CATENA

An integrated framework of Extreme Learning Machines for predicting scour at pile groups in clear water condition

(2018) Isa Ebtehaj et al.   COASTAL ENGINEERING

Significance of machine learning algorithms in professional blogger's classification

(2018) Yousra Asim et al.   COMPUTERS & ELECTRICAL ENGINEERING

Comparative Evaluation of Infiltration Models

(2018) Alireza Sepah Vand et al.   KSCE Journal of Civil Engineering

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

Ensemble committee-based data intelligent approach for generating soil moisture forecasts with multivariate hydro-meteorological predictors

(2018) Ramendra Prasad et al.   SOIL & TILLAGE RESEARCH

On Lack of Robustness in Hydrological Model Development Due to Absence of Guidelines for Selecting Calibration and Evaluation Data: Demonstration for Data-Driven Models

(2018) Feifei Zheng et al.   WATER RESOURCES RESEARCH

A Comparison of Support Vector Machines and Bayesian Algorithms for Landslide Susceptibility Modeling

(2018) Binh Thai Pham et al.   Geocarto International

Predictive modelling for solar thermal energy systems: A comparison of support vector regression, random forest, extra trees and regression trees

(2018) Muhammad Waseem Ahmad et al.   JOURNAL OF CLEANER PRODUCTION

Artificial intelligence approach for the prediction of Robusta coffee yield using soil fertility properties

(2018) Louis Kouadio et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Design and implementation of a hybrid model based on two-layer decomposition method coupled with extreme learning machines to support real-time environmental monitoring of water quality parameters

(2018) Elham Fijani et al.   SCIENCE OF THE TOTAL ENVIRONMENT

A stochastic data‐driven ensemble forecasting framework for water resources: A case study using ensemble members derived from a database of deterministic wavelet‐based models

(2018) John Quilty et al.   WATER RESOURCES RESEARCH

Forecasting of groundwater level fluctuations using ensemble hybrid multi-wavelet neural network-based models

(2017) Rahim Barzegar et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Bagging ensemble models for bank profitability: An emprical research on Turkish development and investment banks

(2016) Hamit Erdal et al.   APPLIED SOFT COMPUTING

Extreme learning machine assessment for estimating sediment transport in open channels

(2016) Isa Ebtehaj et al.   ENGINEERING WITH COMPUTERS

Stream-flow forecasting using extreme learning machines: A case study in a semi-arid region in Iraq

(2016) Zaher Mundher Yaseen et al.   JOURNAL OF HYDROLOGY

Application of wavelet-artificial intelligence hybrid models for water quality prediction: a case study in Aji-Chay River, Iran

(2016) Rahim Barzegar et al.   STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT

Model trees and sequential minimal optimization based support vector machine models for estimating minimum surface roughness value

(2015) Sarosh Hashmi et al.   APPLIED MATHEMATICAL MODELLING

A polynomial chaos ensemble hydrologic prediction system for efficient parameter inference and robust uncertainty assessment

(2015) S. Wang et al.   JOURNAL OF HYDROLOGY

Sequential minimal optimization for SVM with pinball loss

(2015) Xiaolin Huang et al.   NEUROCOMPUTING

Machine learning predictive models for mineral prospectivity: An evaluation of neural networks, random forest, regression trees and support vector machines

(2015) V. Rodriguez-Galiano et al.   ORE GEOLOGY REVIEWS

Support vector machine applications in the field of hydrology: A review

(2014) Sujay Raghavendra. N et al.   APPLIED SOFT COMPUTING

Modeling of daily pan evaporation in sub tropical climates using ANN, LS-SVR, Fuzzy Logic, and ANFIS

(2014) Manish Kumar Goyal et al.   EXPERT SYSTEMS WITH APPLICATIONS

Ensemble prediction of regional droughts using climate inputs and the SVM-copula approach

(2013) Poulomi Ganguli et al.   HYDROLOGICAL PROCESSES

Overall models based on ensemble methods for predicting continuous annealing furnace temperature settings

(2013) A. Sanz-Garcia et al.   IRONMAKING & STEELMAKING

Theoretical and Experimental Research of Cumulative Infiltration

(2013) A. Angelaki et al.   TRANSPORT IN POROUS MEDIA

Estimation of Daily Suspended Sediment Load by Using Wavelet Conjunction Models

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

Suspended sediment modeling using genetic programming and soft computing techniques

(2012) Ozgur Kisi et al.   JOURNAL OF HYDROLOGY

Two decades of anarchy? Emerging themes and outstanding challenges for neural network river forecasting

(2012) Robert J. Abrahart et al.   PROGRESS IN PHYSICAL GEOGRAPHY

Simple Proof of Convergence of the SMO Algorithm for Different SVM Variants

(2012) J. Lopez et al.   IEEE Transactions on Neural Networks and Learning Systems

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

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

Estimation of ice thickness on lakes using artificial neural network ensembles

(2010) I. Zaier et al.   JOURNAL OF HYDROLOGY