Soft computing ensemble models based on logistic regression for groundwater potential mapping
Groundwater potential maps are one of the most important tools for the management of
groundwater storage resources. In this study, we proposed four ensemble soft computing …
groundwater storage resources. In this study, we proposed four ensemble soft computing …
Mapping groundwater potential using a novel hybrid intelligence approach
Identifying areas with high groundwater potential is important for groundwater resources
management. The main objective of this study is to propose a novel classifier ensemble …
management. The main objective of this study is to propose a novel classifier ensemble …
Quadratic discriminant analysis based ensemble machine learning models for groundwater potential modeling and mapping
DH Ha, PT Nguyen, R Costache, N Al-Ansari… - Water Resources …, 2021 - Springer
In this study, the AdaBoost, MultiBoost and RealAdaBoost methods were combined with the
Quadratic Discriminant Analysis method to develop three new GIS-based Machine Learning …
Quadratic Discriminant Analysis method to develop three new GIS-based Machine Learning …
Groundwater potentiality mapping using ensemble machine learning algorithms for sustainable groundwater management
Purpose The present study aims to construct ensemble machine learning (EML) algorithms
for groundwater potentiality mapping (GPM) in the Teesta River basin of Bangladesh …
for groundwater potentiality mapping (GPM) in the Teesta River basin of Bangladesh …
Groundwater potential mapping using an integrated ensemble of three bivariate statistical models with random forest and logistic model tree models
In the future, groundwater will be the major source of water for agriculture, drinking and food
production as a result of global climate change. With increasing population growth, demand …
production as a result of global climate change. With increasing population growth, demand …
A comparative assessment between three machine learning models and their performance comparison by bivariate and multivariate statistical methods in …
SA Naghibi, HR Pourghasemi - Water resources management, 2015 - Springer
As demand for fresh groundwater in the worldwide is increasing, delineation of groundwater
spring potential zones become an increasingly important tool for implementing a successful …
spring potential zones become an increasingly important tool for implementing a successful …
Ensemble boosting and bagging based machine learning models for groundwater potential prediction
Due to the rapidly increasing demand for groundwater, as one of the principal freshwater
resources, there is an urge to advance novel prediction systems to more accurately estimate …
resources, there is an urge to advance novel prediction systems to more accurately estimate …
Optimization of statistical and machine learning hybrid models for groundwater potential mapping
Determining areas of high groundwater potential is important for exploitation, management,
and protection of water resources. This study assesses the spatial distribution of …
and protection of water resources. This study assesses the spatial distribution of …
Spatial prediction of groundwater potentiality in large semi-arid and karstic mountainous region using machine learning models
The drinking and irrigation water scarcity is a major global issue, particularly in arid and
semi-arid zones. In rural areas, groundwater could be used as an alternative and additional …
semi-arid zones. In rural areas, groundwater could be used as an alternative and additional …
A hybrid computational intelligence approach to groundwater spring potential mapping
This study proposes a hybrid computational intelligence model that is a combination of
alternating decision tree (ADTree) classifier and AdaBoost (AB) ensemble, namely “AB …
alternating decision tree (ADTree) classifier and AdaBoost (AB) ensemble, namely “AB …