Papers in International Journals
- Asghar Asghari Moghadam, and Elham Fijani. "Distribution of fluoride in groundwater of Maku area, northwest of Iran." Environmental Geology 56, no. 2 (2008): 281-287.
- Asghar Asghari Moghadam, and Elham Fijani. "Hydrogeologic framework of the Maku area basalts, northwestern Iran." HYDROGEOLOGY JOURNAL 17, no. 4 (2009): 949-959.
- Ataallah Nadiri, Asghar Asghari Moghadam, Frank Tsai, and Elham Fijani. "Hydrogeochemical analysis for Tasuj plain aquifer, Iran." Journal of Earth System Science 122, no. 4 (2013): 1091-1105.
- Elham Fijani, Ataallah Nadiri, Asghar Asghari Moghadam, Frank Tsai, and Barnali Dixon. "Optimization of DRASTIC method by supervised committee machine artificial intelligence to assess groundwater vulnerability for Maragheh–Bonab plain aquifer, Iran." JOURNAL OF HYDROLOGY 503, no. 1 (2013): 89-100.
- Ataallah Nadiri, Elham Fijani, Frank Tsai, and Asghar Asghari Moghadam. "Supervised committee machine with artificial intelligence for prediction of fluoride concentration." JOURNAL OF HYDROINFORMATICS 15, no. 4 (2013): 1474-1490.
- Elham Fijani, Asghar Asghari Moghadam, Frank Tsai, and Gokmen Tayfur. "Analysis and Assessment of Hydrochemical Characteristics of Maragheh-Bonab Plain Aquifer, Northwest of Iran." WATER RESOURCES MANAGEMENT 31, no. 3 (2016): 765-780.
- Rahim Barzegar, Asghar Asghari Moghadam, Jan Adamowski, and Elham Fijani. "Comparison of machine learning models for predicting fluoride contamination in groundwater." STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT published online, no. published online (2016): published online.
- Rahim Barzegar, Elham Fijani, Asghar Asghari Moghadam, and Evangelos Tziritis. "Forecasting of groundwater level fluctuations using ensemble hybrid multi-wavelet neural network-based models." SCIENCE OF THE TOTAL ENVIRONMENT 599-600, no. no number (2017): 21-30.
- Rahim Barzegar, Asghar Asghari Moghadam, Ravinesh Deo, Elham Fijani, and Evangelos Tziritis. "Mapping groundwater contamination risk of multiple aquifers using multi-model ensemble of machine learning algorithms." SCIENCE OF THE TOTAL ENVIRONMENT 621, no. - (2017): 712–697.
- Rahim Barzegar, Asghar Asghari Moghadam, Shahla Soltani, Elham Fijani, Evangelos Tziritis, and Naeimeh Kazemian. "Heavy Metal(loid)s in the Groundwater of Shabestar Area (NW Iran): Source Identification and Health Risk Assessment." WATER QUALITY EXPOSURE AND HEALTH published online, no. published online (2017): published online.
- Elham Fijani, Rahim Barzegar, Ravinesh Deo, Evangelos Tziritis, and Konstantinos Skordas. "Design and implementation of a hybrid model based on two-layer decomposition method coupled with extreme learning machines to support real-time environmental monitoring of water quality parameters." SCIENCE OF THE TOTAL ENVIRONMENT 648, no. 1 (2019): 839-853.
- Rahim Barzegar, Masoud Sattarpour, Ravinesh Deo, Elham Fijani, and Jan Adamowski. "An ensemble tree-based machine learning model for predicting the uniaxial compressive strength of travertine rocks." NEURAL COMPUTING & APPLICATIONS published online, no. published online (2019): .
Papers in National Journals
- Elham Fijani, and Asghar Asghari Moghadam. "Hydrogeological and Hydrochemical Studies of Maku Area Basaltic and Karstic Aquifers in Relation to Geological Formations." Geosciences Scientific Quarterly Journal 17, no. 67 (2008): 2-13.
- Asghar Asghari Moghadam, Elham Fijani, and Ataallah Nadiri. "Groundwater vulnerability assessment using GIS-based DRASTIC model in the Bazargan and Poldasht plains." Journal of Environmental Studies 35, no. 52 (2010): 55-64.
- Ataallah Nadiri, Asghar Asghari Moghadam, , and Elham Fijani. "Development of Artificial Intelligence Committee Machine for Transmissivity Estimation, Case study:Tasuj Plain." Iran-Water Resources Research 9, no. 1 (2013): 1-14.
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چنانچه بخشی از اطلاعات فردی جنابعالی در CV انگلیسی نمایش داده نمی
شود به دلیل نبودن معادل لاتین آن می باشد و جهت تکمیل آن می توانید به کارگزینی مراجعه بفرمایید
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چنانچه برخی از فعالیتهای شما در CV انگلیسی نمایش داده نمی شود، ممکن است به دلیل نبودن معادل لاتین آن
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