Prediction on the fluoride contamination in groundwater at the Datong Basin, Northern China: Comparison of random forest, logistic regression and artificial neural network

Hydrogeochemical processes controlling the mobilization and enrichment of fluoride in groundwater of the North China Plain

(2020) Junxia Li et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Modelling groundwater level variations by learning from multiple models using fuzzy logic

(2019) Ata Allah Nadiri et al.   HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES

Fault Detection in Wireless Sensor Networks through the Random Forest Classifier

(2019) Zainib Noshad et al.   SENSORS

Random forest, support vector machine, and neural networks to modelling suspended sediment in Tigris River-Baghdad

(2019) Mustafa Al-Mukhtar   ENVIRONMENTAL MONITORING AND ASSESSMENT

Degradation of groundwater quality in expanding cities in West Africa. A case study of the unregulated shallow aquifer in Cotonou

(2019) Honoré Houéménou et al.   JOURNAL OF HYDROLOGY

High variation topsoil pollution forecasting in the Russian Subarctic: Using artificial neural networks combined with residual kriging

(2018) D.A. Tarasov et al.   APPLIED GEOCHEMISTRY

Significance of machine learning algorithms in professional blogger's classification

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

Applications of machine learning for facies and fracture prediction using Bayesian Network Theory and Random Forest: Case studies from the Appalachian basin, USA

(2018) Shuvajit Bhattacharya et al.   JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING

Prediction Modeling and Mapping of Groundwater Fluoride Contamination throughout India

(2018) Joel E. Podgorski et al.   ENVIRONMENTAL SCIENCE & TECHNOLOGY

Progress, opportunities, and key fields for groundwater quality research under the impacts of human activities in China with a special focus on western China

(2017) Peiyue Li et al.   ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH

Predicting redox-sensitive contaminant concentrations in groundwater using random forest classification

(2017) Anthony J. Tesoriero et al.   WATER RESOURCES RESEARCH

Artificial neural network for modeling nitrate pollution of groundwater in marginal area of Zayandeh-rood River, Isfahan, Iran

(2016) Kaveh Ostad-Ali-Askari et al.   KSCE Journal of Civil Engineering

An isotope hydrochemical approach to understand fluoride release into groundwaters of the Datong Basin, Northern China

(2015) Chunli Su et al.   Environmental Science-Processes & Impacts

Supervised committee machine with artificial intelligence for prediction of fluoride concentration

(2015) Ata Allah Nadiri et al.   JOURNAL OF HYDROINFORMATICS

Prediction of water pollution sources using artificial neural networks in the study areas of Sivas, Karabük and Bartın (Turkey)

(2014) Tülay Ekemen Keskin et al.   Environmental Earth Sciences

Predictive modeling of groundwater nitrate pollution using Random Forest and multisource variables related to intrinsic and specific vulnerability: A case study in an agricultural setting (Southern Spain)

(2014) Victor Rodriguez-Galiano et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Modeling of nitrate concentration in groundwater using artificial intelligence approach—a case study of Gaza coastal aquifer

(2013) Jawad S. Alagha et al.   ENVIRONMENTAL MONITORING AND ASSESSMENT

Groundwater hydrochemical characteristics and processes along flow paths in the North China Plain

(2013) Lina Xing et al.   JOURNAL OF ASIAN EARTH SCIENCES

Artificial neural network modeling of dissolved oxygen in the Heihe River, Northwestern China

(2012) Xiaohu Wen et al.   ENVIRONMENTAL MONITORING AND ASSESSMENT

Hierarchical cluster analysis of arsenic and fluoride enrichments in groundwater from the Datong basin, Northern China

(2012) Junxia Li et al.   JOURNAL OF GEOCHEMICAL EXPLORATION

Aqueous geochemistry of high-fluoride groundwater in Datong Basin, Northern China

(2012) Chunli Su et al.   JOURNAL OF GEOCHEMICAL EXPLORATION

Logistic Regression: A Brief Primer

(2011) Jill C. Stoltzfus   ACADEMIC EMERGENCY MEDICINE

Neural-Intelligent Water Drops algorithm to select relevant textural features for developing precision irrigation system using machine vision

(2011) Yusuf Hendrawan et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Using a binary logistic regression method and GIS for evaluating and mapping the groundwater spring potential in the Sultan Mountains (Aksehir, Turkey)

(2011) Adnan Ozdemir   JOURNAL OF HYDROLOGY

Letter to the Editor: Stability of Random Forest importance measures

(2010) M. L. Calle et al.   BRIEFINGS IN BIOINFORMATICS

Lithological influences on occurrence of high-fluoride groundwater in Nagar Parkar area, Thar Desert, Pakistan

(2010) Shahid Naseem et al.   CHEMOSPHERE

Geochemical characteristics of fluoride in groundwater of Gimcheon, Korea: lithogenic and agricultural origins

(2010) Yeongkyoo Kim et al.   Environmental Earth Sciences

Geochemical factors controlling the occurrence of high fluoride groundwater in the Nagar Parkar area, Sindh, Pakistan

(2009) Tahir Rafique et al.   JOURNAL OF HAZARDOUS MATERIALS

Feature subset selection in large dimensionality domains

(2009) Iffat A. Gheyas et al.   PATTERN RECOGNITION

Geochemistry of redox-sensitive elements and sulfur isotopes in the high arsenic groundwater system of Datong Basin, China

(2009) Xianjun Xie et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Estimation of suspended sediment concentration and yield using linear models, random forests and quantile regression forests

(2008) T. Francke et al.   HYDROLOGICAL PROCESSES

Hydrogeochemical study in the Main Ethiopian Rift: new insights to the source and enrichment mechanism of fluoride

(2008) Tewodros Rango et al.   Environmental geology.

Fluoride ion contamination in the groundwater of Mithi sub-district, the Thar Desert, Pakistan

(2008) Tahir Rafique et al.   Environmental geology.

Empirical characterization of random forest variable importance measures

(2007) Kellie J. Archer et al.   COMPUTATIONAL STATISTICS & DATA ANALYSIS