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

Importance of spatial resolution in global groundwater modeling

(2020) Robert Reinecke et al.   Groundwater

XGBoost algorithm-based prediction of concrete electrical resistivity for structural health monitoring

(2020) Wei Dong et al.   AUTOMATION IN CONSTRUCTION

Comparison of a physical model and phenomenological model to forecast groundwater levels in a rainfall-induced deep-seated landslide

(2020) Zhen-lei Wei et al.   JOURNAL OF HYDROLOGY

Flash Flood Forecasting Using Support Vector Regression Model in a Small Mountainous Catchment

(2019) Jian Wu et al.   Water

Evaluation of data-driven models (SVR and ANN) for groundwater-level prediction in confined and unconfined systems

(2019) A. Mirarabi et al.   Environmental Earth Sciences

Modeling the Nonlinearity of Sea Level Oscillations in the Malaysian Coastal Areas Using Machine Learning Algorithms

(2019) Vivien Lai et al.   Sustainability

Chronic groundwater decline: A multi-decadal analysis of groundwater trends under extreme climate cycles

(2018) Andrew F. Le Brocque et al.   JOURNAL OF HYDROLOGY

Artificial neural network modelling of amido black dye sorption on iron composite nano material: Kinetics and thermodynamics studies

(2018) Imran Ali et al.   JOURNAL OF MOLECULAR LIQUIDS

A hybrid support vector regression framework for streamflow forecast

(2018) Xiangang Luo et al.   JOURNAL OF HYDROLOGY

Prediction of Groundwater Level in Ardebil Plain Using Support Vector Regression and M5 Tree Model

(2017) Mohammad Taghi Sattari et al.   Groundwater

Groundwater level responses to precipitation variability in Mediterranean insular aquifers

(2017) Jorge Lorenzo-Lacruz et al.   JOURNAL OF HYDROLOGY

Quantification of groundwater recharge in urban environments

(2017) Isabel Tubau et al.   SCIENCE OF THE TOTAL ENVIRONMENT

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

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

Machine learning algorithms for modeling groundwater level changes in agricultural regions of the U.S.

(2017) S. Sahoo et al.   WATER RESOURCES RESEARCH

Prediction of Groundwater Level in Ardebil Plain Using Support Vector Regression and M5 Tree Model

(2017) Mohammad Taghi Sattari et al.   Groundwater

A method to improve the stability and accuracy of ANN- and SVM-based time series models for long-term groundwater level predictions

(2016) Heesung Yoon et al.   COMPUTERS & GEOSCIENCES

Prediction of monthly regional groundwater levels through hybrid soft-computing techniques

(2016) Fi-John Chang et al.   JOURNAL OF HYDROLOGY

Support Vector Regression for Rainfall-Runoff Modeling in Urban Drainage: A Comparison with the EPA’s Storm Water Management Model

(2016) Francesco Granata et al.   Water

Comparative evaluation of numerical model and artificial neural network for simulating groundwater flow in Kathajodi–Surua Inter-basin of Odisha, India

(2013) S. Mohanty et al.   JOURNAL OF HYDROLOGY

A wavelet neural network conjunction model for groundwater level forecasting

(2011) Jan Adamowski et al.   JOURNAL OF HYDROLOGY

A comparative study of artificial neural networks and support vector machines for predicting groundwater levels in a coastal aquifer

(2010) Heesung Yoon et al.   JOURNAL OF HYDROLOGY