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

The Science of the total environment, 2017-12, Vol.599-600, p.20-31

2017

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Multi-step water quality forecasting using a boosting ensemble multi-wavelet extreme learning machine model

Stochastic environmental research and risk assessment, 2018-03, Vol.32 (3), p.799-813

2018

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Assessing the potential origins and human health risks of trace elements in groundwater: A case study in the Khoy plain, Iran

Environmental geochemistry and health, 2019-04, Vol.41 (2), p.981-1002

2019

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Comparison of machine learning models for predicting fluoride contamination in groundwater

Stochastic environmental research and risk assessment, 2017-12, Vol.31 (10), p.2705-2718

2017

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

Journal of hydrology (Amsterdam), 2013-10, Vol.503, p.89-100

2013

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Evidence for the occurrence of hydrogeochemical processes in the groundwater of Khoy plain, northwestern Iran, using ionic ratios and geochemical modeling

Environmental earth sciences, 2018-08, Vol.77 (16), p.1-17, Article 597

2018

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A hydrogeological-based multi-criteria method for assessing the vulnerability of coastal aquifers to saltwater intrusion

Environmental earth sciences, 2019-09, Vol.78 (17), p.1-22, Article 548

2019

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Natural and anthropogenic origins of selected trace elements in the surface waters of Tabriz area, Iran

Environmental earth sciences, 2019-04, Vol.78 (8), p.1-12, Article 254

2019

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Modification of the DRASTIC Framework for Mapping Groundwater Vulnerability Zones

Ground water, 2020-05, Vol.58 (3), p.441-452

2020

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Combining the advantages of neural networks using the concept of committee machine in the groundwater salinity prediction

Modeling earth systems and environment, 2016-03, Vol.2 (1), p.1-13, Article 26

2016

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Multivariate statistics and hydrogeochemical modeling for source identification of major elements and heavy metals in the groundwater of Qareh-Ziaeddin plain, NW Iran

Arabian journal of geosciences, 2018, Vol.11 (1), p.1-14, Article 5

2018

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Optimizing the DRASTIC vulnerability approach to overcome the subjectivity: a case study from Shabestar plain, Iran

Arabian journal of geosciences, 2019-08, Vol.12 (16), p.1-13, Article 527

2019

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Adopting GMS–PSO Model to Reduce Groundwater Withdrawal by Integrated Water Resources Management

International Journal of Environmental Research, 2018-10, Vol.12 (5), p.619-629

2018

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Exploring the hydrogeochemical evolution of cold and thermal waters in the Sarein-Nir area, Iran using stable isotopes (δ18O and δD), geothermometry and multivariate statistical approaches

Geothermics, 2020-05, Vol.85, p.101815-13, Article 101815

2020

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Distribution of fluoride in groundwater of Maku area, northwest of Iran

Environmental earth sciences, 2008-11, Vol.56 (2), p.281-287

2008

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A study of uncertainties in groundwater vulnerability modelling using Bayesian model averaging (BMA)

Journal of environmental management, 2022-02, Vol.303, p.114168-114168, Article 114168

2022

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Supervised committee machine with artificial intelligence for prediction of fluoride concentration

Journal of hydroinformatics, 2013-10, Vol.15 (4), p.1474-1490

2013

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Assessing the hydrogeochemistry and water quality of the Aji-Chay River, northwest of Iran

Environmental earth sciences, 2016-12, Vol.75 (23), p.1, Article 1486

2016

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Application of wavelet-artificial intelligence hybrid models for water quality prediction: a case study in Aji-Chay River, Iran

Stochastic environmental research and risk assessment, 2016-10, Vol.30 (7), p.1797-1819

2016

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Prediction of effluent quality parameters of a wastewater treatment plant using a supervised committee fuzzy logic model

Journal of cleaner production, 2018-04, Vol.180, p.539-549

2018

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Groundwater vulnerability indices conditioned by Supervised Intelligence Committee Machine (SICM)

The Science of the total environment, 2017-01, Vol.574, p.691-706

2017

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Assessment of groundwater vulnerability using supervised committee to combine fuzzy logic models

Environmental science and pollution research international, 2017-03, Vol.24 (9), p.8562-8577

2017

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Assessment of heavy metals concentrations with emphasis on arsenic in the Tabriz plain aquifers, Iran

Environmental earth sciences, 2015-07, Vol.74 (1), p.297-313

2015

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

Stochastic environmental research and risk assessment, 2016-03, Vol.30 (3), p.883-899

2016

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Assessing groundwater vulnerability potential using modified DRASTIC in Ajabshir Plain, NW of Iran

Environmental monitoring and assessment, 2023-04, Vol.195 (4), p.497-497, Article 497

2023

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

Multi-step water quality forecasting using a boosting ensemble multi-wavelet extreme learning machine model

Assessing the potential origins and human health risks of trace elements in groundwater: A case study in the Khoy plain, Iran

Comparison of machine learning models for predicting fluoride contamination in groundwater

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

Evidence for the occurrence of hydrogeochemical processes in the groundwater of Khoy plain, northwestern Iran, using ionic ratios and geochemical modeling

A hydrogeological-based multi-criteria method for assessing the vulnerability of coastal aquifers to saltwater intrusion

Natural and anthropogenic origins of selected trace elements in the surface waters of Tabriz area, Iran

Modification of the DRASTIC Framework for Mapping Groundwater Vulnerability Zones

Combining the advantages of neural networks using the concept of committee machine in the groundwater salinity prediction

Multivariate statistics and hydrogeochemical modeling for source identification of major elements and heavy metals in the groundwater of Qareh-Ziaeddin plain, NW Iran

Optimizing the DRASTIC vulnerability approach to overcome the subjectivity: a case study from Shabestar plain, Iran

Adopting GMS–PSO Model to Reduce Groundwater Withdrawal by Integrated Water Resources Management

Exploring the hydrogeochemical evolution of cold and thermal waters in the Sarein-Nir area, Iran using stable isotopes (δ18O and δD), geothermometry and multivariate statistical approaches

Distribution of fluoride in groundwater of Maku area, northwest of Iran

A study of uncertainties in groundwater vulnerability modelling using Bayesian model averaging (BMA)

Supervised committee machine with artificial intelligence for prediction of fluoride concentration

Assessing the hydrogeochemistry and water quality of the Aji-Chay River, northwest of Iran

Application of wavelet-artificial intelligence hybrid models for water quality prediction: a case study in Aji-Chay River, Iran

Prediction of effluent quality parameters of a wastewater treatment plant using a supervised committee fuzzy logic model

Groundwater vulnerability indices conditioned by Supervised Intelligence Committee Machine (SICM)

Assessment of groundwater vulnerability using supervised committee to combine fuzzy logic models

Assessment of heavy metals concentrations with emphasis on arsenic in the Tabriz plain aquifers, Iran

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

Assessing groundwater vulnerability potential using modified DRASTIC in Ajabshir Plain, NW of Iran

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