A supervised committee machine artificial intelligent for improving DRASTIC method to assess groundwater contamination risk: a case study from Tabriz plain aquifer, Iran

Multi Criteria Analysis for the monitoring of aquifer vulnerability: A scientific tool in environmental policy

(2015) R.F. Valle Junior et al.   ENVIRONMENTAL SCIENCE & POLICY

Groundwater vulnerability and pollution risk assessment of porous aquifers to nitrate: Modifying the DRASTIC method using quantitative parameters

(2015) Nerantzis Kazakis et al.   JOURNAL OF HYDROLOGY

Factor weighting in DRASTIC modeling

(2015) F.A.L. Pacheco et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Groundwater vulnerability assessment using an improved DRASTIC method in GIS

(2014) Aminreza Neshat et al.   RESOURCES CONSERVATION AND RECYCLING

Optimization of DRASTIC method by supervised committee machine artificial intelligence to assess groundwater vulnerability for Maragheh–Bonab plain aquifer, Iran

(2013) Elham Fijani et al.   JOURNAL OF HYDROLOGY

Improving the accuracy of flow units prediction through two committee machine models: An example from the South Pars Gas Field, Persian Gulf Basin, Iran

(2012) Javad Ghiasi-Freez et al.   COMPUTERS & GEOSCIENCES

Groundwater Vulnerability Assessment Using Fuzzy Logic: A Case Study in the Zayandehrood Aquifers, Iran

(2012) Farshad Rezaei et al.   ENVIRONMENTAL MANAGEMENT

The multivariate statistical structure of DRASTIC model

(2012) Fernando A.L. Pacheco et al.   JOURNAL OF HYDROLOGY

Using self-organizing maps and wavelet transforms for space–time pre-processing of satellite precipitation and runoff data in neural network based rainfall–runoff modeling

(2012) Vahid Nourani et al.   JOURNAL OF HYDROLOGY

A self-organizing radial basis network for estimating riverine fish diversity

(2012) Fi-John Chang et al.   JOURNAL OF HYDROLOGY

Characterization of spatial patterns in river water quality using chemometric pattern recognition techniques

(2012) Nabeel M. Gazzaz et al.   MARINE POLLUTION BULLETIN

Assessment of groundwater contamination risk using hazard quantification, a modified DRASTIC model and groundwater value, Beijing Plain, China

(2012) Junjie Wang et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Assessment and validation of groundwater vulnerability to nitrate based on a modified DRASTIC model: A case study in Jilin City of northeast China

(2012) Huan Huan et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Assessment of groundwater risk using intrinsic vulnerability and hazard mapping: Application to Souassi aquifer, Tunisian Sahel

(2011) S. Saidi et al.   AGRICULTURAL WATER MANAGEMENT

Committee neural networks with fuzzy genetic algorithm

(2011) S.A. Jafari et al.   JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING

Assessment of a groundwater quality monitoring network using vulnerability mapping and geostatistics: A case study from Heretaunga Plains, New Zealand

(2009) Husam Baalousha   AGRICULTURAL WATER MANAGEMENT

Evaluation of aquifers vulnerability to contamination in the Yarmouk River basin, Jordan, based on DRASTIC method

(2009) Muheeb M. Awawdeh et al.   Arabian Journal of Geosciences

Artificial neural network modeling of the river water quality—A case study

(2009) Kunwar P. Singh et al.   ECOLOGICAL MODELLING

A case study using support vector machines, neural networks and logistic regression in a GIS to identify wells contaminated with nitrate-N

(2009) Barnali Dixon   HYDROGEOLOGY JOURNAL

Mapping groundwater vulnerable zones using modified DRASTIC approach of an alluvial aquifer in parts of central Ganga plain, Western Uttar Pradesh

(2009) Rashid Umar et al.   JOURNAL OF THE GEOLOGICAL SOCIETY OF INDIA

Monthly total sediment forecasting using adaptive neuro fuzzy inference system

(2009) Mahmut Firat et al.   STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT

Improved irrigation water demand forecasting using a soft-computing hybrid model

(2008) Inmaculada Pulido-Calvo et al.   BIOSYSTEMS ENGINEERING

An ANN application for water quality forecasting

(2008) Sundarambal Palani et al.   MARINE POLLUTION BULLETIN

Adaptive Neuro-Fuzzy Inference System for drought forecasting

(2008) Ulker Guner Bacanli et al.   STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT

Artificial neural network models for forecasting monthly precipitation in Jordan

(2008) Hafzullah Aksoy et al.   STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT

Aquifer vulnerability assessment using GIS and fuzzy system: a case study in Tehran–Karaj aquifer, Iran

(2008) Kourosh Mohammadi et al.   Environmental geology.

Using adaptive neuro-fuzzy inference system for hydrological time series prediction

(2007) Mohammad Zounemat-Kermani et al.   APPLIED SOFT COMPUTING