Integration of statistical models and ensemble machine learning algorithms (MLAs) for developing the novel hybrid groundwater potentiality models: a case study of …
The present study has proposed three novel hybrid models by integrating three traditional
ensemble models, such as random forest, logitboost, and naive bayes, and six newly …
ensemble models, such as random forest, logitboost, and naive bayes, and six newly …
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 …
Developing groundwater potentiality models by coupling ensemble machine learning algorithms and statistical techniques for sustainable groundwater management
The present study intends to construct a logistic regression based hybrid EML model by
considering nine standalone and ensemble machine learning (EML) algorithms as …
considering nine standalone and ensemble machine learning (EML) algorithms as …
Comparison of machine learning models for predicting groundwater level, case study: Najafabad region
Water resources, consisting of surface water and groundwater, are considered to be among
the crucial natural resources in most arid and semiarid regions. Groundwater resources as …
the crucial natural resources in most arid and semiarid regions. Groundwater resources as …
Application of convolutional neural network in predicting groundwater potential using remote sensing: a case study in southeastern Liaoning, China
H Xu, D Wang, Z Ding, Z Deng, Y Shi, D Yu, J Li… - Arabian Journal of …, 2020 - Springer
With the rise of machine learning and artificial intelligence, back propagation (BP) neural
network, support vector machine (SVM), random forest model, and others can be used to …
network, support vector machine (SVM), random forest model, and others can be used to …
Groundwater potential mapping in hubei region of china using machine learning, ensemble learning, deep learning and automl methods
Z Bai, Q Liu, Y Liu - Natural Resources Research, 2022 - Springer
Freshwater scarcity has become more widespread on a global scale in recent years. Surface
water resources are no longer sufficient to meet the demands of human productivity and …
water resources are no longer sufficient to meet the demands of human productivity and …
Groundwater potential mapping using GIS‐based hybrid artificial intelligence methods
Groundwater is one of the major valuable water resources for the use of communities,
agriculture, and industries. In the present study, we have developed three novel hybrid …
agriculture, and industries. In the present study, we have developed three novel hybrid …
Spatial predictions of groundwater potential using automated machine learning (AutoML): a comparative study of feature selection and training sample size in Qinghai …
Z Wang, J Wang, M Li - Environmental Science and Pollution Research, 2024 - Springer
Predicting groundwater potential is crucial for identifying the spatial distribution of
groundwater in a region. It serves as an essential guide for the development, utilization, and …
groundwater in a region. It serves as an essential guide for the development, utilization, and …
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 …