Forecasting of groundwater level fluctuations using ensemble hybrid multi-wavelet neural network-based models von Barzegar, Rahim, Fijani, Elham, Asghari Moghaddam, Asghar, Tziritis, Evangelos

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Multi-step water quality forecasting using a boosting ensemble multi-wavelet extreme learning machine model von Barzegar, Rahim, Asghari Moghaddam, Asghar, Adamowski, Jan, Ozga-Zielinski, Bogdan

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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 von Barzegar, Rahim, Asghari Moghaddam, Asghar, Adamowski, Jan, Nazemi, Amir Hossein

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Comparison of machine learning models for predicting fluoride contamination in groundwater von Barzegar, Rahim, Asghari Moghaddam, Asghar, Adamowski, Jan, Fijani, Elham

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Optimization of DRASTIC method by supervised committee machine artificial intelligence to assess groundwater vulnerability for Maragheh–Bonab plain aquifer, Iran von Fijani, Elham, Nadiri, Ata Allah, Asghari Moghaddam, Asghar, Tsai, Frank T.-C., Dixon, Barnali

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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 von Barzegar, Rahim, Asghari Moghaddam, Asghar, Nazemi, Amir Hossein, Adamowski, Jan

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Natural and anthropogenic origins of selected trace elements in the surface waters of Tabriz area, Iran von Barzegar, Rahim, Asghari Moghaddam, Asghar, Soltani, Shahla, Baomid, Narges, Tziritis, Evangelos, Adamowski, Jan, Inam, Azhar

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Modification of the DRASTIC Framework for Mapping Groundwater Vulnerability Zones von Barzegar, Rahim, Asghari Moghaddam, Asghar, Norallahi, Shahrokh, Inam, Azhar, Adamowski, Jan, Alizadeh, Mohammad Reza, Bou Nassar, Jessica

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A hydrogeological-based multi-criteria method for assessing the vulnerability of coastal aquifers to saltwater intrusion von Azizi, Farahnaz, Vadiati, Meysam, Asghari Moghaddam, Asghar, Nazemi, Amirhossein, Adamowski, Jan

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Combining the advantages of neural networks using the concept of committee machine in the groundwater salinity prediction von Barzegar, Rahim, Asghari Moghaddam, Asghar

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Optimizing the DRASTIC vulnerability approach to overcome the subjectivity: a case study from Shabestar plain, Iran von Kadkhodaie, Fatemeh, Asghari Moghaddam, Asghar, Barzegar, Rahim, Gharekhani, Maryam, Kadkhodaie, Ali

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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 von Esmaeili, Somayeh, Asghari Moghaddam, Asghar, Barzegar, Rahim, Tziritis, Evangelos

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Adopting GMS–PSO Model to Reduce Groundwater Withdrawal by Integrated Water Resources Management von Alaviani, Fariba, Sedghi, Hossein, Asghari Moghaddam, Asghar, Babazadeh, Hossein

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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 ap... von Barzegar, Rahim, Asghari Moghaddam, Asghar, Tziritis, Evangelos, Adamowski, Jan, Bou Nassar, Jessica, Noori, Mohammad, Aalami, Mohammad Taghi, Kazemian, Naeimeh

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Distribution of fluoride in groundwater of Maku area, northwest of Iran von Asghari Moghaddam, Asghar, Fijani, Elham

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A study of uncertainties in groundwater vulnerability modelling using Bayesian model averaging (BMA) von Gharekhani, Maryam, Nadiri, Ata Allah, Khatibi, Rahman, Sadeghfam, Sina, Asghari Moghaddam, Asghar

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Assessing the hydrogeochemistry and water quality of the Aji-Chay River, northwest of Iran von Barzegar, Rahim, Asghari Moghaddam, Asghar, Tziritis, Evangelos

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Supervised committee machine with artificial intelligence for prediction of fluoride concentration von ATA ALLAH NADIRI, FIJANI, Elham, TSAI, Frank T.-C, ASGHAR ASGHARI MOGHADDAM

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Application of wavelet-artificial intelligence hybrid models for water quality prediction: a case study in Aji-Chay River, Iran von Barzegar, Rahim, Adamowski, Jan, Moghaddam, Asghar Asghari

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Prediction of effluent quality parameters of a wastewater treatment plant using a supervised committee fuzzy logic model von Nadiri, Ata Allah, Shokri, Sima, Tsai, Frank T.-C., Asghari Moghaddam, Asghar

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